44 raw line(s)
{"timestamp":"2026-03-12T22:07:44.917Z","type":"session_meta","payload":{"id":"019ce417-66fc-7bb2-9d0d-c6ed11f05912","timestamp":"2026-03-12T22:07:44.892Z","cwd":"/Users/admin/dev/codexscope","originator":"Codex Desktop","cli_version":"0.87.0","instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n - summary and trust signal first\n - reviewer phases second\n - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n - say when capture starts\n - say what was captured\n - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n - intent\n - validation/tests\n - changed files\n - replay location\n - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","source":"exec","model_provider":"openai","git":{"commit_hash":"e31269a0ce937778e5b1f9b847f3549b441a2061","branch":"dogfood/live-proof","repository_url":"https://github.com/cfregly/codexscope.git"}}}
{"timestamp":"2026-03-12T22:07:44.917Z","type":"response_item","payload":{"type":"message","role":"developer","content":[{"type":"input_text","text":"<permissions instructions>Filesystem sandboxing defines which files can be read or written. `sandbox_mode` is `danger-full-access`: No filesystem sandboxing - all commands are permitted. Network access is enabled. Approvals are your mechanism to get user consent to run shell commands without the sandbox. `approval_policy` is `never`: This is a non-interactive mode where you may NEVER ask the user for approval to run commands. Instead, you must always persist and work around constraints to solve the task for the user. You MUST do your utmost best to finish the task and validate your work before yielding. If this mode is paired with `danger-full-access`, take advantage of it to deliver the best outcome for the user. Further, in this mode, your default testing philosophy is overridden: Even if you don't see local patterns for testing, you may add tests and scripts to validate your work. Just remove them before yielding.</permissions instructions>"}]}}
{"timestamp":"2026-03-12T22:07:44.917Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"# AGENTS.md instructions for /Users/admin/dev/codexscope\n\n<INSTRUCTIONS>\n# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n - summary and trust signal first\n - reviewer phases second\n - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n - say when capture starts\n - say what was captured\n - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n - intent\n - validation/tests\n - changed files\n - replay location\n - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.\n</INSTRUCTIONS>"}]}}
{"timestamp":"2026-03-12T22:07:44.917Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"<environment_context>\n <cwd>/Users/admin/dev/codexscope</cwd>\n <shell>zsh</shell>\n</environment_context>"}]}}
{"timestamp":"2026-03-12T22:07:44.927Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"Update README.md so the primary quick start and dogfood guidance push live CodexScope usage on the real repo. Remove demo seeding from the main onboarding path, but keep a short note that demo seed is a dev-only fallback. Make the smallest clear edit set and do not commit."}]}}
{"timestamp":"2026-03-12T22:07:44.927Z","type":"event_msg","payload":{"type":"user_message","message":"Update README.md so the primary quick start and dogfood guidance push live CodexScope usage on the real repo. Remove demo seeding from the main onboarding path, but keep a short note that demo seed is a dev-only fallback. Make the smallest clear edit set and do not commit.","images":[],"local_images":[],"text_elements":[]}}
{"timestamp":"2026-03-12T22:07:44.927Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n - summary and trust signal first\n - reviewer phases second\n - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n - say when capture starts\n - say what was captured\n - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n - intent\n - validation/tests\n - changed files\n - replay location\n - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-12T22:07:45.280Z","type":"event_msg","payload":{"type":"token_count","info":null,"rate_limits":{"primary":{"used_percent":8.0,"window_minutes":300,"resets_at":1773354253},"secondary":{"used_percent":24.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-12T22:07:48.939Z","type":"response_item","payload":{"type":"reasoning","summary":[],"content":null,"encrypted_content":"gAAAAABpszk0fqQmhUT_rtmxjY-XoeZY53mAU6suRGAxt6RwpdvcBn03oeCOnYtWEQmjZRK8UxQolRW2i20lx-l9p2Tw5HUWAdrzqzfGN2o79YYkAoVyUPChvDDKNfhAkhU7_Mg3htzR2nm3ipONsPmBs36u0A_my6QaQM3GFEa7RgiT9CbkaLthv5r1XB2_yivU4OL9HKK2R5cU-t4mdzjl-LvgVCQn8PhgPhtSAuyXxBmIjf3E79vXSeiXPbWig7R7TEIqkwC5XEPUs9M09h2yh-OsiQYQ08SIPSnR6blR76DUaiGsDnljaem1HKrYtbDrWjDv5bDDamRDvaKYFucUT4db7AgqBAKHpSwLoEpemTkZUG3aL70nxh11JgEQzIpBFkbsBXH-ZMph7Y1d_gGR_xb_E5vm2UVsZ9L-WY33IQ2kIuyN4y3v-e0O_7XHpM1vJsj8i1vQa4tT3893-5aE1W0qMKUoGAoTlM3sRH3BGnsxKI_ZPf2j3hAnHbk9On8l2yciYsmQkuiktTrtflcjjLHKFpCdyclSM-DhEgznuMKDo2BJL0j9Q9tTU9cmwsbOPi3JKP6z8bXT2i5tcAcggC97HqJ6oF-ClrPuvmwT1LXQ7jHpM2SLKUN2DwGKgXeIAsg9zk81Lb2SLqyAqERifMoecdlwwUqYMtLKlwORwn35M_Ffa6FmJ6iBmqlP8D9v6w2x9IJZ17HA2DUpbXkqEtnv4ymLQD2dyAwVwTKB0QxYKjGKgUdSEziWUFLCUGdO4kOKPJCFUJj5ZFZA6vry1hlnl3wr-51O4IdtZ3cpSLho4L_frLpboMMeQrfmeQ5RkR0uRKaZAFrnWkUimHzqn77_aadxMmf2tMsMzwFGgNJweySKPwmWLIOCD4xk0SZmCtwluN5o6j0Nlc0TTymn5qx49qEVROeRucflrmAIk4WzsxF3EheBVe0ZQSSUHCcOn9TPR2JR9DfVCHdCJzdJAixdQ6x4bQ-zpZH7GIicxvVKCJVZ4Awzkde25EBPY04ePBGhE7vB9vy1u7Oq-tVH2RZsrc2Zm7Gk68NkPllSiKDTV5w1_jSCPTLDyq-SXmNEcxSme15xfsSJPbcIQQLYJbiQ-5dV6ZRogQcfOzTL25QCKcWucw2xWL9OjbyGHD91FDT_QK34u8xGlQpDuM1YXRM0MCQzgEQIrblEXr6n4uTMYJoYZ0LCGlvU-FgCyGmJsCPdDvV-3QEr4DMsSJpjpd-j3cLuFFWF-RSh5H_lwuP41jws4M5CKnKgf8bQt-UiJHFQRdYbzhz6h1iDSCdrxPTEOYo1glH_7eclmraEoTHPLStzQOfiBWEOi2lYs8rGVPW2_lZrRCEM7f8Co41iyNKRSs_g8rPatG6NMnKmjE95K2C0ySE0CMYSFpTQT9yDGKfFq_V2EQSkcfi-mIR-PAxRoFqzeg3goE06ZhOgaCp3urnSC6Ia6uz6-kAB3orAvopSQFCjqaASNkA9n6GH4nYiYYCRudQgI2cUy-Usy15lhzq52GY="}}
{"timestamp":"2026-03-12T22:07:48.967Z","type":"event_msg","payload":{"type":"agent_message","message":"I’ll inspect the README and find the current onboarding flow."}}
{"timestamp":"2026-03-12T22:07:48.968Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"I’ll inspect the README and find the current onboarding flow."}]}}
{"timestamp":"2026-03-12T22:07:49.890Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"rg -n \\\"demo|seed|quick start|dogfood|README|Getting Started|Quick Start\\\" README.md && sed -n '1,260p' README.md\"],\"workdir\":\"/Users/admin/dev/codexscope\",\"timeout_ms\":10000}","call_id":"call_fplMMvn1Sj6UQIV8NMlmcUKu"}}
{"timestamp":"2026-03-12T22:07:49.904Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":8257,"cached_input_tokens":0,"output_tokens":204,"reasoning_output_tokens":107,"total_tokens":8461},"last_token_usage":{"input_tokens":8257,"cached_input_tokens":0,"output_tokens":204,"reasoning_output_tokens":107,"total_tokens":8461},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":8.0,"window_minutes":300,"resets_at":1773354253},"secondary":{"used_percent":24.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-12T22:07:49.919Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_fplMMvn1Sj6UQIV8NMlmcUKu","output":"{\"output\":\"47:5. Or seed a demo replay:\\n50: pnpm seed:demo\\n61:The intended dogfood path is the real repo at [cfregly/codexscope](https://github.com/cfregly/codexscope).\\n# CodexScope\\n\\nDeveloper-first SaaS for Codex provenance.\\n\\nThis monorepo contains:\\n\\n- `apps/web`: Next.js app with ingestion routes, GitHub webhook handling, and the replay UI\\n- `packages/cli`: `codexscope` CLI wrapper used to launch Codex and upload replay data\\n- `packages/shared`: shared schemas, types, and replay heuristics\\n- `AGENTS.md`: contributor guardrails and near-term product boundaries\\n- `PLAN.md`: detailed product thesis, assumptions, requirements, and deferred scope\\n\\n## Quick start\\n\\n1. Install dependencies:\\n\\n ```bash\\n pnpm install\\n ```\\n\\n2. Start the web app:\\n\\n ```bash\\n pnpm dev:web\\n ```\\n\\n3. Build and login with the CLI:\\n\\n ```bash\\n pnpm --filter @codexscope/cli build\\n packages/cli/dist/index.js login --url http://127.0.0.1:3000\\n ```\\n\\n That opens a browser so you can approve the CLI login.\\n If you are on SSH or another headless terminal, use:\\n\\n ```bash\\n packages/cli/dist/index.js login --url http://127.0.0.1:3000 --device-auth\\n ```\\n\\n4. Launch Codex through the wrapper:\\n\\n ```bash\\n packages/cli/dist/index.js run -- codex\\n ```\\n\\n5. Or seed a demo replay:\\n\\n ```bash\\n pnpm seed:demo\\n ```\\n\\nService-account and CI uploads can still use a manual token:\\n\\n```bash\\npackages/cli/dist/index.js login --url http://127.0.0.1:3000 --token dev-token\\n```\\n\\n## Dogfood on GitHub\\n\\nThe intended dogfood path is the real repo at [cfregly/codexscope](https://github.com/cfregly/codexscope).\\n\\n1. Configure the GitHub App env below in the CodexScope web app runtime.\\n2. Install the GitHub App on `cfregly/codexscope`.\\n3. Run `packages/cli/dist/index.js login --url <your-codexscope-app>` once.\\n4. From a checkout of `cfregly/codexscope`, run `packages/cli/dist/index.js run -- codex`.\\n5. Open a PR and review the replay comment plus hosted replay UI.\\n\\nGitHub App env for the hosted install loop:\\n\\n```bash\\nexport GITHUB_APP_ID=...\\nexport GITHUB_APP_PRIVATE_KEY='-----BEGIN PRIVATE KEY-----\\\\n...\\\\n-----END PRIVATE KEY-----'\\nexport GITHUB_WEBHOOK_SECRET=...\\nexport NEXT_PUBLIC_APP_URL=http://localhost:3000\\n# optional: set if you want to skip GitHub App metadata lookup\\nexport GITHUB_APP_SLUG=...\\n```\\n\\nThe wrapper captures Codex session transcripts from `~/.codex/sessions`, enriches them with git context, and uploads a replay payload into the web app.\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-12T22:07:49.922Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n - summary and trust signal first\n - reviewer phases second\n - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n - say when capture starts\n - say what was captured\n - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n - intent\n - validation/tests\n - changed files\n - replay location\n - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-12T22:07:50.295Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":8257,"cached_input_tokens":0,"output_tokens":204,"reasoning_output_tokens":107,"total_tokens":8461},"last_token_usage":{"input_tokens":8257,"cached_input_tokens":0,"output_tokens":204,"reasoning_output_tokens":107,"total_tokens":8461},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":8.0,"window_minutes":300,"resets_at":1773354253},"secondary":{"used_percent":24.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-12T22:08:05.525Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Updating README instructions**\n\nI need to make a quick and clear edit to the README file. It looks like I should focus on pushing the real CodexScope usage in the primary quick start path and use the actual repository. I'll remove demo seeding from the main onboarding process but keep a note that it's just a dev fallback. I might need to adjust step 4 to emphasize cloning the real repo and opening a pull request. Let’s clarify everything efficiently!"}}
{"timestamp":"2026-03-12T22:08:05.525Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Refining README steps**\n\nI need to edit Quick Start step 4 and remove step 5 that mentions the demo replay. Instead, I’ll add a note after the live run step to indicate that users should work from a checkout of the cfregly/codexscope repo and open a PR for review. Maybe I'll rename the Dogfood heading and clarify that step 1 should prompt the user to open this repo, which is indeed the same. I also want to ensure any edits are minimal and inspect if the README exceeds 260 lines."}}
{"timestamp":"2026-03-12T22:08:05.525Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Designing README patch**\n\nI might just show a git diff to clarify changes rather than a full plan, and I need a preamble for the patch. I'll mention tightening the README to focus on live dogfooding. When applying the patch, I should consider referencing file changes with line numbers, using the `nl -ba` command. For the potential edits, the Quick Start now looks like this: 1. Install; 2. Start the web app; 3. Build & login to CLI; 4. Launch Codex through the wrapper from a checkout of `cfregly/codexscope`; 5. Open a PR and review comments."}}
{"timestamp":"2026-03-12T22:08:05.525Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Processing onboarding adjustments**\n\nThe user asked to remove demo seeding from the main onboarding path but keep a short note to clarify that it's a developer-only fallback. I think a single sentence note would work well after the service account section. I might say something like: \"Dev-only fallback: `pnpm seed:demo` creates a local sample replay for UI development data without a live Codex session.\" It makes sense to ensure it isn’t in the onboarding list. So, yes, let’s patch this!"}}
{"timestamp":"2026-03-12T22:08:05.525Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Updating README instructions**\n\nI need to make a quick and clear edit to the README file. It looks like I should focus on pushing the real CodexScope usage in the primary quick start path and use the actual repository. I'll remove demo seeding from the main onboarding process but keep a note that it's just a dev fallback. I might need to adjust step 4 to emphasize cloning the real repo and opening a pull request. Let’s clarify everything efficiently!"},{"type":"summary_text","text":"**Refining README steps**\n\nI need to edit Quick Start step 4 and remove step 5 that mentions the demo replay. Instead, I’ll add a note after the live run step to indicate that users should work from a checkout of the cfregly/codexscope repo and open a PR for review. Maybe I'll rename the Dogfood heading and clarify that step 1 should prompt the user to open this repo, which is indeed the same. I also want to ensure any edits are minimal and inspect if the README exceeds 260 lines."},{"type":"summary_text","text":"**Designing README patch**\n\nI might just show a git diff to clarify changes rather than a full plan, and I need a preamble for the patch. I'll mention tightening the README to focus on live dogfooding. When applying the patch, I should consider referencing file changes with line numbers, using the `nl -ba` command. For the potential edits, the Quick Start now looks like this: 1. Install; 2. Start the web app; 3. Build & login to CLI; 4. Launch Codex through the wrapper from a checkout of `cfregly/codexscope`; 5. Open a PR and review comments."},{"type":"summary_text","text":"**Processing onboarding adjustments**\n\nThe user asked to remove demo seeding from the main onboarding path but keep a short note to clarify that it's a developer-only fallback. I think a single sentence note would work well after the service account section. I might say something like: \"Dev-only fallback: `pnpm seed:demo` creates a local sample replay for UI development data without a live Codex session.\" It makes sense to ensure it isn’t in the onboarding list. So, yes, let’s patch this!"}],"content":null,"encrypted_content":"gAAAAABpszlFd4BKPFyXmkuL3Y0vemDFk2k55pg5WFKcQS3OycU93Qk0mzARF5vJW4ivUAq13bhYoIxR8GCo3QjpefNOHYId7NPEqON03BWwkV2xGwHuE9zV3kCFnhTgQJR8YPgoxX_x2wzQqeXL6IoXAmODA6EE0gI1NqJbzD7-lW8tMmKTUgR_LarFa8D3vCMCS-uevgUHXfcU8u6mQiQKIi5mastB4IP18YqJyKUUnJSEA8aDHT2bHpguGwROdN25SnqUIKAFETau5iwe-H4VmN5KFXTiAjn-UwMm-t5aSVPsLVTQK1heFsavXihesJmQov3oWiz2qP6SLooFM374Je41WtMSosdnvVtl38_3-EMnIalTcm8Wg26snXHEX5PHbtGpIWJG66c_vbl259hxYALqHxDYDgr2O1mYJvN3fzp7dOrpLivpUBnle8OkZ4FmshiSAwekMQSvdxOG3GxErBXs1RRsVGq0ZQQUT7KZtFiLI2Maszf3VXrhDVuhPZxBeaZkLCvoA76EB0u-hKGq_zrI4YPzdnj43TqmaC9y7qosfvanDM8MfwE3oKzXjBA7BpIpNdw_rABnmu_sG7oKd9VIwBSHfqX2v50haQspk-Z_sst2S1Zf-5-qqndus3v-AH-ZFjxQHtYZ3FYk845_ikT7HIUwmdAaL68-liExcjPhHb3V8CQBCfSXBPJal-7bmh82CqmQHw0eTubXQWMGPjUWVZ9Av0XGbOo3t3jzlY4iG_j_OJl3olrGw-DDl7ywmxhP4t0PTNJutU5QXvftlBK8yvIkNt48-WkaLlfrxIcIdrhv6t9lSTY--podzJEBReXq2VijKha5lk1k7Yqv4JN5mEXt4_qKBxUMoNfVPXmBq9QFPLRLpsrUTvXIchWvD_ONLDSMEJpPB5N6Z3Pk0p7fjABN5sIdnqHoqsNWOmVC6d5cOS0eTn5RoI336vAdhdh_QcV6nfukPcTVNCqhpJOudxf9SxBib_QUhWDo6S-eit9gmuXCH9iUSELq7xP7VZtvxolQ4ghOoXM2G3pXlTOTTG7TR3xx0CT8MfBs0y9MSKIQPv290f5PvvCZctXww94YYuZkbC-SwsyRTP-2bg7lWDkSTkd2NPVtEYR8Q2ZbnaAVfGKrsxF6No39XxQJk9ZozkBG5N4EJfi3sR8X7j1ToX99-SFNlwfYSAtA8XhrrSfO_VxU5XORUbz_OUNHuY4pC7wn020cuggzRfOqYafpcZIPEBeaf2SdZKqduYO08UjCceCTr6rclH67nDueX-Y6DgVbfPTSZpuIX-R-7qR1r-vFOiiYgiIi38SDArDIxIaIHluiXcTiV_P8-c9FzjUHYJz56RQYcqmpwMK3jcABy1sJ5pMXReFD964ahV2NrXIdOj-PZoCTnrgTCICqUitVgwlR2Pa6Hy--U7BhGRbb9uK_a4Z0Vpq9hzucXcnJ7P6mpOkqpv75rd3o8lzWInBggMxsJXOB7vp5o4IwKP47S9jTeCU6fFn887omPf4otHElh9sz-GqXXz5RPe2nswb8SPEXxDgWbR2V9uPb4iDI5t6VVgy-U6G_LOkM0phXhWR17KWe9sFBBCybfX3Qnuwov5FE_gyLWUYGBkQHcF0FJG2KjHLH7rnElTA-MD5EHRMkFCritPOCuyirOzaQlvSucAe7-no29ijIZRhFN2bZaBBKnQL6anI5JVq7faC0va3WbkQnWN0spx2vCyIz-BAPsEjptN9y30VRwPyUkbu5pBoAZF6vJnDdwpajzPkqrbHld74AwJFXfZ4fU2cVC01V6FNK2T8-2P1uvYcbxlmuIq1Kq2MAvtTDowtP8wdjyu0nwvIP5WE7AtXbopA5NBmLamq50nXt-qWZuOtCt3bzmUYjJ4eqD4iz80aSWMYnmSAlpocZiX8J_f_Dx4zk0DPaSO0pCprYYybcWFCDHSYQ5DMsWJIgQ3jfQcThkDdv2Q8Qtc-8DpmFHo_NyiohIEpYgyTORayGQabUhP3dFnM9y_4YNlSVDJ5T3pmAZc-nlv-sHDgJLl2aese6Oqk2-WbgS_kGU6HpYSsZuj1f-9vZa74o6oS33lDftdB3r-V8CqCKC895Uf59IHCf13QlZ08YEnHzVKHl0mmRPpr0hL9_fZkVHDB58-VNg3Llbk1lPAX9XphcfRx6KA9ducjHgbkuFpgOPCIEg-sAWWWf6ZUxbEUBQJDGtMuBo3RXSYPi0EUwZXx805QRwdiaGuuwsxd2s6A7TlqVmH3_WlbKcDmvhUTQfNoFOg0s3DyrEZM4_lz0gNdQ-JZSiaG-IRksW11TZsqU1-4EXmA5P3ah0KPxUvn0wxL76r22wTAqVZrFmIdk844JKPxVzDI2igw6l0j4wBPlv2_pbATb0jb865dL8iJrgk0J8q0iVwlvXX9M9Vx-CIdZns8DmY8Ld1V11rMznvnbVXYDgFDF_uK14_oKPrSAM9EYTvr5ljxIgg2GOwILfVtgJhcJSQAt1gRl7K8zBjkiOxlT-LdNL6G6_T-kFy8ru22jv6AcUUm77mOX2LuZ8GKd0-SfusWjTL_B-Ta6RYqVVAYCcsAxdwzLvvfBVPLtVxhmcHJOYe-I2aAPf996PYFucKSZGtE1h7q0MrUePWod3IiZ9D_3S3dTMrsRcaEBdl3xQ267s8wlY3Sx8MrcNq7_0Z6Mh4dVeu6vd0OTIN31pnmsB9Stcfxqbdo2kxUwSnYIvh8lF_rEzW-x6eslaQZNheMOzwwjucdUzxPyhTdW1jvI9YhBNFsxeBRKnduxjDmpCgsA8iYaAjIwWDwMjaTrR6bSJWT26DwG9dwaiH9pZyXAEFwb3U9NMsqS-a2waIezkCCbJFVL5dzhpsm2VAZyBNy6eIPm-Vp755BP2AuestDegEdILyyBK626T34YN4zllco-EVSiV08OTzkwS6a2kuJIksxRh0NdwDDkkIaR-bu0SFQh4Ar3agOLPN3fq4Qih2yfsTUyuat3USMzqJRJmSDmpRJeWCwVekzL0wBAqdFJQGbXuKkvPRErzrQ1y8mAqNXv8ZpCH6TBGwxAA1w5LNE7izJjzs0mPFq-fHhH6b5n89ADtGjMoFo0akBa0quXtdWkDK8ARY6IiYG5Vt84NyCcmoZ031GA6ZfQ1lI1__1zV9Z-i-2urpdBfOJkhaQPzW19g3-iPnhiREr5G3nbIQpbAN_DeHKDLIHbGO4Vjn0Jf6PzaNEqxT_Sd6Bk-uvs7CR3SfiU690XT20MMUy10NhGLfyEMuGqHqw4FqRJxdbdrHLsPPg_w30N1CK8jmHcn5bdA76rDaXI0pWnu_hf6tsDhdCmJkAoi2x1sKGD2JsliyGeu1ECjUvQQa4a3aZRry0sMVpqnGmRa9fBuEuR6UrV0OUwEMmD8KiZkGKuYCJTxSWStBOp7a4Ss-_2jA9ZLmojOD50qzYDXiq6Yzf3YNcJWZm7x449PN9Z18VlEtwP5w3vDKLvQjXnj6QsJ-kLYb1b-z4Ql3GX2QFt_-DcGEVBl1l5iRwcuD5nmarQSLei_IiPyLcM_wUhDw9-2CkxtlkjDD4H6bw5Cw_hqouk6ISoB-plqpg4PQ4jyyQqaL6JrgOsgqSvufEJF-rVvS8P6r64ZTtW8Jp9V4BBHcI3kfV80jlpEGqPPf-9Q2wfa-6le47xTzJ2DzY7xn0_rZoKXnTZy_bMtMrwSAkbLpQsW6CllCTOueD2KSLiYwurJeIgi0K-lv0HyCu_LIQouXqBfwXv0-ENUAiPXje8lSa-jl2TTbl-jRJbJtbHTUKxj4iF73REDSsMFCmuD7vmf3xD-kVyHl3zSQ76IhKVQzit3QvwTExG3Pt9sPnzvYhTTCF-ApXyvq50tE3CQHdFHfHcaGaUmNZLqn2qXbnTKqgKa2qqwLFEWzroqxUkNqAkpEIfsSzYYIIblCtht-RRdJ0UkkNpHa_q97AnCf5x8UnOnzwYBxWzXqWxtkMGA4BlpxecvPndpgqvNse-lLRjAkrRHeNKQt8oQ833JhzV3pTX8mTaNB_rx7ftYjJ9s35HOQuf0xGC6I3Z0SQtz111cK5B5tnpNfrrr98-FtSjp-TnuPtqlAqwnJQ_hsqE7sfuWfHyRzugWK6-4vf8xtWcanLA6DbRU64cwE-jVoLfs9sJx7sH7FnRYv-EF2BAT062Il7Jgnx3qq_Ds8D7SoAK4agdDd1s41hl6jamEJ138tbqxE4a7wkbzZ0mu9L6eRUv_9irvIJwAkO48CKGzbBjNw1L1FcXMS65O7340YHkToraqG6tdOhFCph9ZcF7xPdo_ZR3LgWB4eSQgXzIc1--cdG_e8lCtfv0WkdInhCMKYNF7Ei-DxWZOn5RrBN4bmCZZuWGvW9QEV-fuB6iYN3PqDFEIxkUC4093LRSj7_FVBF_G530HuMP5DqxvP0N68WQKFg6EVRb-0T4zcqHBeIDECzGsAXW76ujLOFHanq8tDp4YhFeb7nKjtbyYN1-KwNPzxqBz1-6HYgEUDXrZoGJghY_Jnr7Sh-YXne1AiU1rO4dzorq7-kCuiKLQLwMNzSPmwW7Ay4bptlZ8JRH-PRszF9e5uOn20Ck8xIQOHouN-r_yGgkiFn8f5gGLJiJwQnFTVAc3_8hCpJIf-X7GwKzUGQ0lbfr9leqlzUfuVxMFBxQPJ40xhxVzgDBwS1xwEMWM4vYCgtLznCeo6IwGws5xOMq5qkKEnZuR-dCgQ7PalP5NHwwlbxF-pMpMpb1SwNSsO5nLUI0CEHcMCiLfXXu44fZXEk273LJpaFEtd6j0G5_zey_rmlK7AmzD_AgO1OvtVfXgU8NbfY8CvrN17Fu6aWz2hmhk4Fut1V7OzN0AhidFtPVsjGStP1TXt8GkaNz01IODCLs5iLQ070jW_4cFJLX7xkJKjER-9acp_P8rEcMk2bhNY7EqOYPag8c-ctjSLJ4j4Wy8f7ht7ggAN1bwi6k7RYrRwFqJaaxjvJ9wIOHjAboCtjlt2EVYMlIRlk9LBHUo4wPu016SCI_3RstMNCSIzmluPfbD2Ie4uV1xxGLCCiGBEfsY7pEbUeUXeC3o-iwu3a7ovDk_WFPb0oC0sjW9sLLwaDehfdE5wHED1ss4_eGcc9Avw4KKhF32q2koptHGsXruEcIfWOu04Gcj6DP8D_iAJgxRZhIFgp3lBGXsfP_gF7SqRmrlDImRYW1Fu0UqgBgz1TVtZM3XPz-pxAJ7vlGq79bZ9cvn_9zgmkZTDEWuk-rOUPrQYQfEwUOaMsIjfVdXQMaxU0daRkfP95Qr_uJNauqZFgBO9U83AmzCeMI-yftdR2hE-QWRyezZFYAq2vCvm8xeV47Jy-xNMJpTu72thY61Qp5adfGWeERRs0KRsD9tJqOepkf2z5cR6mQUHBTdrG19Hm43bGmuZyDKfg82ROf5E4k9qybu8Bw4ktFzEjsr5E1jbNCmkvfqLWNbOCIIZPXRsURXdSdQ_e9e3Cecx5pJT5yY1Sl_j16E_jf2NVVJtGaiUOlMiaJPZFFCNAxJOkMrbHH5TMcTqQHXfnT_ZN1594Vov8Vvs9vZTRQHshFgdoaGTMV-_vY8ep6ZhwFazxXgPDrGd6OJad1lCqPZzd6hEVg0JWycGq3grYzf5j8cthMvYd4FTjSzvwm4YAm5iC9tTyVKlgQpJwCaBFZo1V_QRSowjPZPq6e4gcbfyL_suVL1wJVGdDCfhtgF-nC1hDKJnz1acA_Rv7RACKYSHxdz1LZ9IRycGNmrHGO8w33eCzr6URsCPTCQ_Vsef2JwE6e4jworWboTBlYwCjtDLfc_A26eFbBmuSBAAEQe76d7XNgKkJjju4VMyWgXmGrJ3AWw2yrRBr7ceaZzDcrHNxzmoG_2cb1LiU_v1sKsETjUZj_8Ko_ZGfm1ai88IVYpfrUCxsGunceB6PKK6XGklu4E-LdQl-qcYTfvUO8gXH7VGLQmahirpqIhyrfEC_YzbkKNcUx5UC1lhpWxJx6kSyjKs75lHFGNfZN7LoyWOl_-EyZJ82KxAobrSjiSU88CqVyo9yDwb34DQ=="}}
{"timestamp":"2026-03-12T22:08:05.558Z","type":"event_msg","payload":{"type":"agent_message","message":"I found the demo path; now tightening the README toward live dogfooding."}}
{"timestamp":"2026-03-12T22:08:05.558Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"I found the demo path; now tightening the README toward live dogfooding."}]}}
{"timestamp":"2026-03-12T22:08:08.167Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"apply_patch\",\"*** Begin Patch\\n*** Update File: README.md\\n@@\\n-4. Launch Codex through the wrapper:\\n+4. From a checkout of the real [cfregly/codexscope](https://github.com/cfregly/codexscope) repo, launch Codex through the wrapper:\\n \\n ```bash\\n packages/cli/dist/index.js run -- codex\\n ```\\n \\n-5. Or seed a demo replay:\\n-\\n- ```bash\\n- pnpm seed:demo\\n- ```\\n+5. Open a PR and review the replay comment plus hosted replay UI.\\n@@\\n Service-account and CI uploads can still use a manual token:\\n \\n ```bash\\n packages/cli/dist/index.js login --url http://127.0.0.1:3000 --token dev-token\\n ```\\n+\\n+Dev-only fallback: run `pnpm seed:demo` if you need a local sample replay without running a live Codex session.\\n \\n ## Dogfood on GitHub\\n \\n-The intended dogfood path is the real repo at [cfregly/codexscope](https://github.com/cfregly/codexscope).\\n+The primary dogfood path is live end-to-end usage on the real repo at [cfregly/codexscope](https://github.com/cfregly/codexscope).\\n*** End Patch\"],\"workdir\":\"/Users/admin/dev/codexscope\",\"timeout_ms\":10000}","call_id":"call_Lah8j1dLBWq5npt4P6B9XqMf"}}
{"timestamp":"2026-03-12T22:08:08.167Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"Warning: apply_patch was requested via shell. Use the apply_patch tool instead of exec_command."}]}}
{"timestamp":"2026-03-12T22:08:08.170Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":17475,"cached_input_tokens":8320,"output_tokens":1376,"reasoning_output_tokens":911,"total_tokens":18851},"last_token_usage":{"input_tokens":9218,"cached_input_tokens":8320,"output_tokens":1172,"reasoning_output_tokens":804,"total_tokens":10390},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":8.0,"window_minutes":300,"resets_at":1773354253},"secondary":{"used_percent":24.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-12T22:08:08.198Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_Lah8j1dLBWq5npt4P6B9XqMf","output":"{\"output\":\"Success. Updated the following files:\\nM README.md\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-12T22:08:08.211Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n - summary and trust signal first\n - reviewer phases second\n - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n - say when capture starts\n - say what was captured\n - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n - intent\n - validation/tests\n - changed files\n - replay location\n - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-12T22:08:08.686Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":17475,"cached_input_tokens":8320,"output_tokens":1376,"reasoning_output_tokens":911,"total_tokens":18851},"last_token_usage":{"input_tokens":9218,"cached_input_tokens":8320,"output_tokens":1172,"reasoning_output_tokens":804,"total_tokens":10390},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":8.0,"window_minutes":300,"resets_at":1773354253},"secondary":{"used_percent":24.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-12T22:08:12.745Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Inspecting tool usage**\n\nI need to clarify my previous approach: I should use the apply_patch tool instead of exec_command. Actually, it seems the developer allows shell commands through the apply_patch function, but I got a warning from the harness, which makes me think there might be an issue. I should definitely inspect the result and check the line numbers. Since the documentation changed, maybe I need to run a git diff to ensure everything matches correctly. A preamble before the tool call is essential too."}}
{"timestamp":"2026-03-12T22:08:12.745Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Inspecting tool usage**\n\nI need to clarify my previous approach: I should use the apply_patch tool instead of exec_command. Actually, it seems the developer allows shell commands through the apply_patch function, but I got a warning from the harness, which makes me think there might be an issue. I should definitely inspect the result and check the line numbers. Since the documentation changed, maybe I need to run a git diff to ensure everything matches correctly. A preamble before the tool call is essential too."}],"content":null,"encrypted_content":"gAAAAABpszlMA8ZANNiZTuqRYgXHy7KnWAOsHnVqOGOrEKdkFUXuSWwrwwU-R8ti3Ee8XhcklUgG9Og4xpzVgs5191xC5MGIylTEvsfhKTO-EntdJEoY2Ie8uPINkxnLVydqOvKOwe5GcN7kNSJc74RwuQgfR-j-ccqgZULF9bhrgc28qHSzZinON4ikEbGIoVuowSIv7eVXH22kTmUfcY_wDJFuzS78x_s1uFtI8lUFGu44VXgSsgcNArYWYhtdzuprxmpCKi5nazLNOJBwmvQvcEGdYDTXFXQ52vquw2C3v-RY0jqIYH2yxeAZnLkqn19oBhy9tdQZr4MNTLVHd7R1gBdrqqEFlPmevfHsHJ-dWq3XAeNfkFnTVxOHKbZq7KjrDgMLL9ch7iEYEkHVUB8W1sMeSkiAN_CtD-wKJoQ3SUWtaGMibJuy8rIqxQ5diRUKQFoVH-7m-d8gGW_xyviba6kPbuHKwDY0hW5TL_kNlJIfH0dJU-YdcCDdex3AfBR7isyug6TnG2MWRfhEC6XqGGt1sHx7LeHlDHvb6I2SJkbatfjNeEsTRNYG0skbb8gN8rlhsxmjUr20PhmtAloN_GS39-CSYx0cdxFMW-fKp3CRmcT_JTcSUnY_j4kB8tPtuiC0uFp3ZnyuLwGftz4ybvmJh03NqUwZUpGtGwALRZYRLZ7YcJ5nblla-5uvk5rMPQEsz4_UuhNP2YVr0eeHm7J-3P4D1aKbzqa_9m3JwIT9qZNVIXzj1KoG2XGWE3sjrtd5L8Q5HjyfHbzKKZDteHIKEIn_B38-9dWPLI8dA4rxcH0u22NqysXtLdfO55-FuOS2sKtp3N8oeezB-Ug-UTE8kpCPHEpwdYKYahjl4dqZMbZmSvb-fV1kd1PkWTAS1zsSB0lyRDokZpKJl5aIRAM0_IGHtoD5gY8retlJD_XZhgft2sQ6BsBu9l7pg6V9PzBqXoY_8eD_9NEbXsu52WC6AdBXw_WrSVUJ7v1MHebsuIIGDL_oomUJuSDxcV82jGZzukfcIwTBeyG8_3MU84WK00xmdAirVw9rGxkbG8gs8LJbVehgi9Rn0PRSQy6CF1JcIuAR8lXFf5lTzqF57imaS0oRkpqK2R1vlBEbwVHjKNXA5JTX7qv8k-XkezAIxqiq8uoVlEWIws7d1cAX1_Rd3qhi1-YYLefIXZYrvS8CxU7WQWqRXe9xX-m1oISBMDQm8mrA7XJZQequhGMFCq7AUxQ6AvSk7fJesUGP4UzorfkxYFH3B9nVLJQIae7Zz-dvl6HxXU8Vi6NscmJpQ62b9BPFY-2Ro7PzBnsDgk272lkoEiMtA22_desWIR8Xfm6_NFKbiy42A4nzjM6Tn8HucIEaPPqhwYS6tNUdWp7OCPMWzN4jjvP1LAz64t4p5QglpuxX"}}
{"timestamp":"2026-03-12T22:08:12.769Z","type":"event_msg","payload":{"type":"agent_message","message":"The edit is in; I’m checking the diff and line numbers."}}
{"timestamp":"2026-03-12T22:08:12.769Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"The edit is in; I’m checking the diff and line numbers."}]}}
{"timestamp":"2026-03-12T22:08:12.915Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"git diff -- README.md && printf '\\\\n---\\\\n' && nl -ba README.md | sed -n '1,120p'\"],\"workdir\":\"/Users/admin/dev/codexscope\",\"timeout_ms\":10000}","call_id":"call_qkbYaMNZGO45ovx9DRaj8fAI"}}
{"timestamp":"2026-03-12T22:08:12.926Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":27928,"cached_input_tokens":18560,"output_tokens":1558,"reasoning_output_tokens":1001,"total_tokens":29486},"last_token_usage":{"input_tokens":10453,"cached_input_tokens":10240,"output_tokens":182,"reasoning_output_tokens":90,"total_tokens":10635},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":8.0,"window_minutes":300,"resets_at":1773354253},"secondary":{"used_percent":24.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-12T22:08:12.945Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_qkbYaMNZGO45ovx9DRaj8fAI","output":"{\"output\":\"diff --git a/README.md b/README.md\\nindex 8348a96..2527ca0 100644\\n--- a/README.md\\n+++ b/README.md\\n@@ -38,17 +38,13 @@ This monorepo contains:\\n packages/cli/dist/index.js login --url http://127.0.0.1:3000 --device-auth\\n ```\\n \\n-4. Launch Codex through the wrapper:\\n+4. From a checkout of the real [cfregly/codexscope](https://github.com/cfregly/codexscope) repo, launch Codex through the wrapper:\\n \\n ```bash\\n packages/cli/dist/index.js run -- codex\\n ```\\n \\n-5. Or seed a demo replay:\\n-\\n- ```bash\\n- pnpm seed:demo\\n- ```\\n+5. Open a PR and review the replay comment plus hosted replay UI.\\n \\n Service-account and CI uploads can still use a manual token:\\n \\n@@ -56,9 +52,11 @@ Service-account and CI uploads can still use a manual token:\\n packages/cli/dist/index.js login --url http://127.0.0.1:3000 --token dev-token\\n ```\\n \\n+Dev-only fallback: run `pnpm seed:demo` if you need a local sample replay without running a live Codex session.\\n+\\n ## Dogfood on GitHub\\n \\n-The intended dogfood path is the real repo at [cfregly/codexscope](https://github.com/cfregly/codexscope).\\n+The primary dogfood path is live end-to-end usage on the real repo at [cfregly/codexscope](https://github.com/cfregly/codexscope).\\n \\n 1. Configure the GitHub App env below in the CodexScope web app runtime.\\n 2. Install the GitHub App on `cfregly/codexscope`.\\n\\n---\\n 1\\t# CodexScope\\n 2\\t\\n 3\\tDeveloper-first SaaS for Codex provenance.\\n 4\\t\\n 5\\tThis monorepo contains:\\n 6\\t\\n 7\\t- `apps/web`: Next.js app with ingestion routes, GitHub webhook handling, and the replay UI\\n 8\\t- `packages/cli`: `codexscope` CLI wrapper used to launch Codex and upload replay data\\n 9\\t- `packages/shared`: shared schemas, types, and replay heuristics\\n 10\\t- `AGENTS.md`: contributor guardrails and near-term product boundaries\\n 11\\t- `PLAN.md`: detailed product thesis, assumptions, requirements, and deferred scope\\n 12\\t\\n 13\\t## Quick start\\n 14\\t\\n 15\\t1. Install dependencies:\\n 16\\t\\n 17\\t ```bash\\n 18\\t pnpm install\\n 19\\t ```\\n 20\\t\\n 21\\t2. Start the web app:\\n 22\\t\\n 23\\t ```bash\\n 24\\t pnpm dev:web\\n 25\\t ```\\n 26\\t\\n 27\\t3. Build and login with the CLI:\\n 28\\t\\n 29\\t ```bash\\n 30\\t pnpm --filter @codexscope/cli build\\n 31\\t packages/cli/dist/index.js login --url http://127.0.0.1:3000\\n 32\\t ```\\n 33\\t\\n 34\\t That opens a browser so you can approve the CLI login.\\n 35\\t If you are on SSH or another headless terminal, use:\\n 36\\t\\n 37\\t ```bash\\n 38\\t packages/cli/dist/index.js login --url http://127.0.0.1:3000 --device-auth\\n 39\\t ```\\n 40\\t\\n 41\\t4. From a checkout of the real [cfregly/codexscope](https://github.com/cfregly/codexscope) repo, launch Codex through the wrapper:\\n 42\\t\\n 43\\t ```bash\\n 44\\t packages/cli/dist/index.js run -- codex\\n 45\\t ```\\n 46\\t\\n 47\\t5. Open a PR and review the replay comment plus hosted replay UI.\\n 48\\t\\n 49\\tService-account and CI uploads can still use a manual token:\\n 50\\t\\n 51\\t```bash\\n 52\\tpackages/cli/dist/index.js login --url http://127.0.0.1:3000 --token dev-token\\n 53\\t```\\n 54\\t\\n 55\\tDev-only fallback: run `pnpm seed:demo` if you need a local sample replay without running a live Codex session.\\n 56\\t\\n 57\\t## Dogfood on GitHub\\n 58\\t\\n 59\\tThe primary dogfood path is live end-to-end usage on the real repo at [cfregly/codexscope](https://github.com/cfregly/codexscope).\\n 60\\t\\n 61\\t1. Configure the GitHub App env below in the CodexScope web app runtime.\\n 62\\t2. Install the GitHub App on `cfregly/codexscope`.\\n 63\\t3. Run `packages/cli/dist/index.js login --url <your-codexscope-app>` once.\\n 64\\t4. From a checkout of `cfregly/codexscope`, run `packages/cli/dist/index.js run -- codex`.\\n 65\\t5. Open a PR and review the replay comment plus hosted replay UI.\\n 66\\t\\n 67\\tGitHub App env for the hosted install loop:\\n 68\\t\\n 69\\t```bash\\n 70\\texport GITHUB_APP_ID=...\\n 71\\texport GITHUB_APP_PRIVATE_KEY='-----BEGIN PRIVATE KEY-----\\\\n...\\\\n-----END PRIVATE KEY-----'\\n 72\\texport GITHUB_WEBHOOK_SECRET=...\\n 73\\texport NEXT_PUBLIC_APP_URL=http://localhost:3000\\n 74\\t# optional: set if you want to skip GitHub App metadata lookup\\n 75\\texport GITHUB_APP_SLUG=...\\n 76\\t```\\n 77\\t\\n 78\\tThe wrapper captures Codex session transcripts from `~/.codex/sessions`, enriches them with git context, and uploads a replay payload into the web app.\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-12T22:08:12.961Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n - summary and trust signal first\n - reviewer phases second\n - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n - say when capture starts\n - say what was captured\n - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n - intent\n - validation/tests\n - changed files\n - replay location\n - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-12T22:08:13.343Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":27928,"cached_input_tokens":18560,"output_tokens":1558,"reasoning_output_tokens":1001,"total_tokens":29486},"last_token_usage":{"input_tokens":10453,"cached_input_tokens":10240,"output_tokens":182,"reasoning_output_tokens":90,"total_tokens":10635},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":8.0,"window_minutes":300,"resets_at":1773354253},"secondary":{"used_percent":24.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-12T22:08:21.779Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Finalizing the response**\n\nI need to keep my final response concise and mention that no tests were run since it’s just a docs-only update. I should reference files with line numbers and note that no commit was made. Maybe I could ask the user if they want further tightening of the README, though it might not be necessary. I should include paths with start lines in bullet points, keeping everything within about 10 lines. Each reference should stand alone."}}
{"timestamp":"2026-03-12T22:08:21.779Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Finalizing README updates**\n\nI've made a few updates to the README. I updated `README.md:41` to ensure the quick start now uses the live `cfregly/codexscope` repo and leads to opening a real PR. I moved demo seeding out of onboarding and noted it as a dev-only fallback at `README.md:55`. The dogfood guidance has been reframed around live end-to-end usage on the real repo at `README.md:59`. No tests were run and no commit was made. Should I ask the user if they want to align homepage copy?"}}
{"timestamp":"2026-03-12T22:08:21.780Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Finalizing the response**\n\nI need to keep my final response concise and mention that no tests were run since it’s just a docs-only update. I should reference files with line numbers and note that no commit was made. Maybe I could ask the user if they want further tightening of the README, though it might not be necessary. I should include paths with start lines in bullet points, keeping everything within about 10 lines. Each reference should stand alone."},{"type":"summary_text","text":"**Finalizing README updates**\n\nI've made a few updates to the README. I updated `README.md:41` to ensure the quick start now uses the live `cfregly/codexscope` repo and leads to opening a real PR. I moved demo seeding out of onboarding and noted it as a dev-only fallback at `README.md:55`. The dogfood guidance has been reframed around live end-to-end usage on the real repo at `README.md:59`. No tests were run and no commit was made. Should I ask the user if they want to align homepage copy?"}],"content":null,"encrypted_content":"gAAAAABpszlVzJXylrARCEEpLdjoGzke59hp7IsUoVKnOFIwHL9_1HYw6KwlpEGR9Fzvj436Kr1zprHys8W3jK1maX9MfdErJrc_DFCafRS3_xmWFSw4DAv5uR2XUfcBpY1mEHA7ve4AaKurmyz8TMg6Fn6oLSC6OKXQvZ8-6V3uSh1pRdAc9yyC5eqBxwIKrnosbw5WFijmufRCOzycA6Dn9GGXRPDWlaJjSv2ySM-I8lWxc29i4yRxrERO4RRl61Wdu4Hd-_TfV6Q0lf0bc0T6eJ1dbXx0kFWFnstM8zdVNpo3M-T6KWckuLuC4FGxyXzjDSYR-8LwBn4r0tizh3fnTPFulU3EQzpZV8zsTg0IC4Tl6dD6L69Sdbl7xXExBAtLR5WoKUPSEmsa6XeGKHx4YA7s9zZJmJaxtVTyL5M3IHpL5NbvqVoNxVTp94Bo9k3nBkxx1SIOxC2LGEVA3GwH4XSJNREXaA3MdccbiWNHimfMKAMFsy_mhZX6dfzPFSsDPWMDr0AKDmePZ5kiwY-fLDtrBKcZUeZ8oqL5j7_f9oKUJAGxHfrHez17p7h30UZ3mtckY2_HrRdyGgjP1OgosBua6Xz0sPeZecLPt4Hhs8b7LTCtNtTr_mtKOjOBe52jXiqrvHBekicrkkeA84HPXosASKKLtRxSfkNYQWO8Hrkys6S-MH-dIvxQs03tfqeKRLxF_xb_ZMNXJWE1BIk8J3iKdQvy-UGsY7ydJ_4DF4zbIX7rIYaUtp0RcNb3hX0xIccmebY2W0SMInfyOblJEehW4kBRFvuSbOp2IhtbIvl1NEogMzqQnVoegbqtaT30wVfgB5IrUficSOZo7SSa64s5fOskWOVWO-EyI6nzCi0nFcempX6W7XIS3kpsEQHqqXR_A1FzyS2L2-rInEIZ4-pDtjj9uRJ4NQchZhthoElDA5lCYMjEK07gqS-YomTSpkvcicJm8aE0rot_TAl9LyZgt4ds43-Hu0w7zoiCnZOB4U1pR7MHlzqXNKTYDUrBX_P8YgLjqE1Z7HRqk3NItEqbbODInEScJbl3yClM9kNKS1ujsx-gLMmFXVb4qlu4ycRP8D1cZVLTtl23RqCshUXzRBFsZINLQIV-of7pfnOK2hP2GpugnYxiTBODVJ54lWeIi10MpcotcLzUqFq0JKMqhqLnh-cZDktIEMdZ5cOjNv6E0UMx5azLhs2hkyTcH_xOF44IGf9MOfDZogRwQ_fttpxrOs_MAGYJVIXR-TYK-k2NtnSOt8a8A6qhUhqyisVvHIr3okRzZZj_EgjByaDABhSMirBnw7DJ-eAXM7GQfQGP7sfBiWT_FDWaHs1zNfGQusuDHVVDhBehyDDFSIPQ6WWyaMt9DD41fDbnsvh3bAIKU52EdJyXs3ebz-wsI1HriLkCK1QAo0GfundcW_D0KcE9v2FcOCrWIZQQZ_WXD9F5Ter8I8J_8_ahLrGbDzDuEd-PolGBio_nH3Q-WxxJrBoXa96VI83_Npf6jueiGgelIaUPYcCGfD3pDCIohawaMR3slAvHqF3z0dDKT5KvBTc3gqY6BwwsY6xxY9jFQqaAwZe3J929EMHBXKKI-Boz26A-HlohX9vx0AN1pUqXWEFgklGLtnQFDcXv1nEQVRrlX2Hr8mQJsJvWOYbjeJmth7MBesy-6ePiDviz5_RkmLWPOp-Oh5nMsr-2jeHPB5SGgKxOIUzFyFCnelwQNFCazxmdh9PYPVMyY5iJgsI2wmJWxVhTMv4EvzzjkF0HQu13OOcufxVALUtFg3M2qpc91z3bmH0E1Kv6c7DB_6JanIzTRQdyNENum4AwVmiTRa2bpz5A4JYYSlEQjRIwm-WfluSmQxrBIce2EW_MCp1CbN_RTkNPMmirKTezGoq1Mi0aWcSQWCzVMrkG2zTryVYVVq2juFxi3OewAKNT3ItAOGW99MeTSuyaU3DO3b3pPd5q66pm2hDl2t-b7EpgAftQQTiiALsb2LXpsPtPBwzhp6AOt6IewzCJJEb6JBbvJoVbXM2AdwHvV7aoLICZ7XkMw2y5szOFGpmKgytT5IBPoK1axzR7ZMVOdeUeH6jeXnKlsHkPMzhCMOA1wCF0cpQgR-hXuZJSF9v0rINanYg385N3xmV5M3-CvVFgJsJKCifxRvzR_AuQkRJ738E5_vfRPcfJKrxN4EIWLaGpejT0prgrf_fS7Q5XdNiwFPMzp96p-zjvJBJlfN3ayo7KYFUKLBNGjIWfL8NWYmZ3GOKZusbJO3dQo2cszdYJyal3vyVplELchyJhR7u2dMAPdJzR3w8Gz3d4UKfPqpqzP3FSze0NN8tHkXOQsl9apTN5SYHkoWhhFdn_6vtqUA9tacBxvJa9QzL_-9MS5SPR5micaGPMfX62LJO16h8SsFR-OPXRe3T2cbBHtK0OnnxbTMpw_7_GZUdIu6RnaGfwbb2DMHuvHl9cRDbPVmdt93NEDn4BwdpmdfYgpVbH6aFy2PALOD9O"}}
{"timestamp":"2026-03-12T22:08:22.045Z","type":"event_msg","payload":{"type":"agent_message","message":"Updated the README with the smallest clear doc-only edit set.\n\n- `README.md:41` now makes the primary quick start run CodexScope from the real `cfregly/codexscope` repo.\n- `README.md:47` now ends the onboarding path with opening a PR and reviewing the replay, instead of demo seeding.\n- `README.md:55` keeps `pnpm seed:demo` as a short dev-only fallback note.\n- `README.md:59` reframes the dogfood section around live end-to-end usage on the real repo.\n- No tests run; this is a docs-only change.\n- No commit made."}}
{"timestamp":"2026-03-12T22:08:22.045Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"Updated the README with the smallest clear doc-only edit set.\n\n- `README.md:41` now makes the primary quick start run CodexScope from the real `cfregly/codexscope` repo.\n- `README.md:47` now ends the onboarding path with opening a PR and reviewing the replay, instead of demo seeding.\n- `README.md:55` keeps `pnpm seed:demo` as a short dev-only fallback note.\n- `README.md:59` reframes the dogfood section around live end-to-end usage on the real repo.\n- No tests run; this is a docs-only change.\n- No commit made."}]}}
{"timestamp":"2026-03-12T22:08:22.060Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":40080,"cached_input_tokens":29056,"output_tokens":1982,"reasoning_output_tokens":1285,"total_tokens":42062},"last_token_usage":{"input_tokens":12152,"cached_input_tokens":10496,"output_tokens":424,"reasoning_output_tokens":284,"total_tokens":12576},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":8.0,"window_minutes":300,"resets_at":1773354253},"secondary":{"used_percent":24.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}