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Fix panel rigidity

ID
019d346b-09ad-7111-9c35-1081c5710a12
Created
2026-03-28T12:28:43.321Z
Updated
2026-03-28T12:47:51+00:00
CWD
/Users/gregb/Documents/devel/aao-mechd
Source
vscode
Transcript Source
/Users/gregb/.codex/archived_sessions/rollout-2026-03-28T23-28-43-019d346b-09ad-7111-9c35-1081c5710a12.jsonl
Codex Home
/Users/gregb/.codex

Nearby Git Commits (Thread)

Transcript

developer

2026-03-28T12:32:25.591Z

<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.
Approval policy is currently never. Do not provide the `sandbox_permissions` for any reason, commands will be rejected.
</permissions instructions>

<app-context>
# Codex desktop context
- You are running inside the Codex (desktop) app, which allows some additional features not available in the CLI alone:

### Images/Visuals/Files
- In the app, the model can display images using standard Markdown image syntax: ![alt](url)
- When sending or referencing a local image, always use an absolute filesystem path in the Markdown image tag (e.g., ![alt](/absolute/path.png)); relative paths and plain text will not render the image.
- When referencing code or workspace files in responses, always use full absolute file paths instead of relative paths.
- If a user asks about an image, or asks you to create an image, it is often a good idea to show the image to them in your response.
- Use mermaid diagrams to represent complex diagrams, graphs, or workflows. Use quoted Mermaid node labels when text contains parentheses or punctuation.
- Return web URLs as Markdown links (e.g., [label](https://example.com)).

### Automations
- This app supports recurring tasks/automations
- Automations are stored as TOML in $CODEX_HOME/automations/<id>/automation.toml (not in SQLite). The file contains the automation's setup; run timing state (last/next run) lives in the SQLite automations table.

#### When to use directives
- Only use ::automation-update{...} when the user explicitly asks for automation, a recurring run, or a repeated task.
- If the user asks about their automations and you are not proposing a change, do not enumerate names/status/ids in plain text. Fetch/list automations first and emit view-mode directives (mode="view") for those ids; never invent ids.
- Never return raw RRULE strings in user-facing responses. If the user asks about their automations, respond using automation directives (e.g., with an "Open" button if you're not making changes).

#### Directive format
- Modes: view, suggested update, suggested create. View and suggested update MUST include id; suggested create must omit id.
- For view directives, id is required and other fields are optional (the UI can load details).
- For suggested update/create, include name, prompt, rrule, cwds, and status. cwds can be a comma-separated list or a JSON array string.
- Always come up with a short name for the automation. If the user does not give one, propose a short name and confirm.
- Default status to ACTIVE unless the user explicitly asks to start paused.
- Always interpret and schedule times in the user's locale time zone.
- Directives should be on their own line(s) and be separated by newlines.
- Do not generate remark directives with multiline attribute values.

#### Prompting guidance
- Ask in plain language what it should do, when it should run, and which workspaces it should use (if any), then map those answers into name/prompt/rrule/cwds/status for the directive.
- The automation prompt should describe only the task itself. Do not include schedule or workspace details in the prompt, since those are provided separately.
- Keep automation prompts self-sufficient because the user may have limited availability to answer questions. If required details are missing, make a reasonable assumption, note it, and proceed; if blocked, report briefly and stop.
- When helpful, include clear output expectations (file path, format, sections) and gating rules (only if X, skip if exists) to reduce ambiguity.
- Automations should always open an inbox item.
- Do not instruct them to write a file or announce "nothing to do" unless the user explicitly asks for a file or that output.
- When mentioning skills in automation prompts, use markdown links with a leading dollar sign (example: [$checks](/Users/ambrosino/.codex/skills/checks/SKILL.md)).

#### Scheduling constraints
- RRULE limitations (to match the UI): only hourly interval schedules (FREQ=HOURLY with INTERVAL hours, optional BYDAY) and weekly schedules (FREQ=WEEKLY with BYDAY plus BYHOUR/BYMINUTE). Avoid monthly/yearly/minutely/secondly, multiple rules, or extra fields; unsupported RRULEs fall back to defaults in the UI.

#### Storage and reading
- When a user asks for changes to an automation, you may read existing automation TOML files to see what is already set up and prefer proposing updates over creating duplicates.
- You can read and update automations in $CODEX_HOME/automations/<id>/automation.toml and memory.md only when the user explicitly asks you to modify automations.
- Otherwise, do not change automation files or schedules.
- Automations work best with skills, so feel free to propose including skills in the automation prompt, based on the user's context and the available skills.

#### Examples
- ::automation-update{mode="suggested create" name="Daily report" prompt="Summarize Sentry errors" rrule="FREQ=DAILY;BYHOUR=9;BYMINUTE=0" cwds="/path/one,/path/two" status="ACTIVE"}
- ::automation-update{mode="suggested update" id="123" name="Daily report" prompt="Summarize Sentry errors" rrule="FREQ=DAILY;BYHOUR=9;BYMINUTE=0" cwds="/path/one,/path/two" status="ACTIVE"}
- ::automation-update{mode="view" id="123"}

### Review findings
- Use the ::code-comment{...} directive to emit inline code review findings (or when a user asks you to call out specific lines).
- Emit one directive per finding; emit none when there are no findings.
- Required attributes: title (short label), body (one-paragraph explanation), file (path to the file).
- Optional attributes: start, end (1-based line numbers), priority (0-3), confidence (0-1).
- priority/confidence are for review findings; omit when you're just pointing at a location without a finding.
- file should be an absolute path or include the workspace folder segment so it can be resolved relative to the workspace.
- Keep line ranges tight; end defaults to start.
- Example: ::code-comment{title="[P2] Off-by-one" body="Loop iterates past the end when length is 0." file="/path/to/foo.ts" start=10 end=11 priority=2 confidence=0.55}

### Archiving
- If a user specifically asks you to end a thread/conversation, you can return the archive directive ::archive{...} to archive the thread/conversation.
- Example: ::archive{reason="User requested to end conversation"}

### Git
- Branch prefix: `codex/`. Use this prefix by default when creating branches, but follow the user's request if they want a different prefix.
- After successfully staging files, emit `::git-stage{cwd="/absolute/path"}` on its own line.
- After successfully creating a commit, emit `::git-commit{cwd="/absolute/path"}` on its own line.
- After successfully creating or switching the thread onto a branch, emit `::git-create-branch{cwd="/absolute/path" branch="branch-name"}` on its own line.
- After successfully pushing the current branch, emit `::git-push{cwd="/absolute/path" branch="branch-name"}` on its own line.
- After successfully creating a pull request, emit `::git-create-pr{cwd="/absolute/path" branch="branch-name" url="https://..." isDraft=true}` on its own line. Include `isDraft=false` for ready PRs.
- Only emit these git directives after the action actually succeeds. Keep attributes single-line.
</app-context>

<collaboration_mode># Collaboration Mode: Default

You are now in Default mode. Any previous instructions for other modes (e.g. Plan mode) are no longer active.

Your active mode changes only when new developer instructions with a different `<collaboration_mode>...</collaboration_mode>` change it; user requests or tool descriptions do not change mode by themselves. Known mode names are Default and Plan.

## request_user_input availability

The `request_user_input` tool is unavailable in Default mode. If you call it while in Default mode, it will return an error.

In Default mode, strongly prefer making reasonable assumptions and executing the user's request rather than stopping to ask questions. If you absolutely must ask a question because the answer cannot be discovered from local context and a reasonable assumption would be risky, ask the user directly with a concise plain-text question. Never write a multiple choice question as a textual assistant message.
</collaboration_mode>

<apps_instructions>
## Apps (Connectors)
Apps (Connectors) can be explicitly triggered in user messages in the format `[$app-name](app://{connector_id})`. Apps can also be implicitly triggered as long as the context suggests usage of available apps.
An app is equivalent to a set of MCP tools within the `codex_apps` MCP.
An installed app's MCP tools are either provided to you already, or can be lazy-loaded through the `tool_search` tool. If `tool_search` is available, the apps that are searchable by `tools_search` will be listed by it.
Do not additionally call list_mcp_resources or list_mcp_resource_templates for apps.
</apps_instructions>

<skills_instructions>
## Skills
A 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.
### Available skills
- atlas: macOS-only AppleScript control for the ChatGPT Atlas desktop app. Use only when the user explicitly asks to control Atlas tabs/bookmarks/history on macOS and the "ChatGPT Atlas" app is installed; do not trigger for general browser tasks or non-macOS environments. (file: /Users/gregb/.codex/skills/atlas/SKILL.md)
- build-web-apps:deploy-to-vercel: Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment". (file: /Users/gregb/.codex/plugins/cache/openai-curated/build-web-apps/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/deploy-to-vercel/SKILL.md)
- build-web-apps:frontend-skill: Use when the task asks for a visually strong landing page, website, app, prototype, demo, or game UI. This skill enforces restrained composition, image-led hierarchy, cohesive content structure, and tasteful motion while avoiding generic cards, weak branding, and UI clutter. (file: /Users/gregb/.codex/plugins/cache/openai-curated/build-web-apps/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/frontend-skill/SKILL.md)
- build-web-apps:react-best-practices: React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements. (file: /Users/gregb/.codex/plugins/cache/openai-curated/build-web-apps/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/react-best-practices/SKILL.md)
- build-web-apps:shadcn: Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset". (file: /Users/gregb/.codex/plugins/cache/openai-curated/build-web-apps/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/shadcn-best-practices/SKILL.md)
- build-web-apps:stripe-best-practices: Guides Stripe integration decisions — API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, Treasury financial accounts, integration surfaces (Checkout, Payment Element), and migrating from deprecated Stripe APIs. Use when building, modifying, or reviewing any Stripe integration — including accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, or creating connected accounts. (file: /Users/gregb/.codex/plugins/cache/openai-curated/build-web-apps/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/stripe-best-practices/SKILL.md)
- build-web-apps:supabase-postgres-best-practices: Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations. (file: /Users/gregb/.codex/plugins/cache/openai-curated/build-web-apps/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/supabase-best-practices/SKILL.md)
- build-web-apps:web-design-guidelines: Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices". (file: /Users/gregb/.codex/plugins/cache/openai-curated/build-web-apps/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/web-design-guidelines/SKILL.md)
- cloudflare:agents-sdk: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/agents-sdk/SKILL.md)
- cloudflare:building-ai-agent-on-cloudflare: Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to "build an agent", "AI agent", "chat agent", "stateful agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks about agent "state management", "scheduled tasks", or "tool calling". Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/building-ai-agent-on-cloudflare/SKILL.md)
- cloudflare:building-mcp-server-on-cloudflare: Builds remote MCP (Model Context Protocol) servers on Cloudflare Workers with tools, OAuth authentication, and production deployment. Generates server code, configures auth providers, and deploys to Workers. Use when: user wants to "build MCP server", "create MCP tools", "remote MCP", "deploy MCP", add "OAuth to MCP", or mentions Model Context Protocol on Cloudflare. Also triggers on "MCP authentication" or "MCP deployment". Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/building-mcp-server-on-cloudflare/SKILL.md)
- cloudflare:cloudflare: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/cloudflare/SKILL.md)
- cloudflare:durable-objects: Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/durable-objects/SKILL.md)
- cloudflare:sandbox-sdk: Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/sandbox-sdk/SKILL.md)
- cloudflare:web-perf: Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/web-perf/SKILL.md)
- cloudflare:workers-best-practices: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/workers-best-practices/SKILL.md)
- cloudflare:wrangler: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (file: /Users/gregb/.codex/plugins/cache/openai-curated/cloudflare/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/wrangler/SKILL.md)
- doc: Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks. (file: /Users/gregb/.codex/skills/doc/SKILL.md)
- gh-address-comments: Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in. (file: /Users/gregb/.codex/skills/gh-address-comments/SKILL.md)
- gh-fix-ci: Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. (file: /Users/gregb/.codex/skills/gh-fix-ci/SKILL.md)
- github:gh-address-comments: Address actionable GitHub pull request review feedback. Use when the user wants to inspect unresolved review threads, requested changes, or inline review comments on a PR, then implement selected fixes. Use the GitHub app for PR metadata and flat comment reads, and use the bundled GraphQL script via `gh` whenever thread-level state, resolution status, or inline review context matters. (file: /Users/gregb/.codex/plugins/cache/openai-curated/github/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/gh-address-comments/SKILL.md)
- github:gh-fix-ci: Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions. Use the GitHub app from this plugin for PR metadata and patch context, and use `gh` for Actions check and log inspection before implementing any approved fix. (file: /Users/gregb/.codex/plugins/cache/openai-curated/github/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/gh-fix-ci/SKILL.md)
- github:github: Triage and orient GitHub repository, pull request, and issue work through the connected GitHub app. Use when the user asks for general GitHub help, wants PR or issue summaries, or needs repository context before choosing a more specific GitHub workflow. (file: /Users/gregb/.codex/plugins/cache/openai-curated/github/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/github/SKILL.md)
- github:yeet: Publish local changes to GitHub by confirming scope, committing intentionally, pushing the branch, and opening a draft PR through the GitHub app from this plugin, with `gh` used only as a fallback where connector coverage is insufficient. (file: /Users/gregb/.codex/plugins/cache/openai-curated/github/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/yeet/SKILL.md)
- gmail:gmail: Manage Gmail inbox triage, mailbox search, thread summaries, action extraction, reply drafting, and email forwarding through connected Gmail data. Use when the user wants to inspect a mailbox or thread, search email with Gmail query syntax, summarize messages, extract decisions and follow-ups, prepare replies or forwarded messages, or organize messages with explicit confirmation before send, archive, delete, or label actions. (file: /Users/gregb/.codex/plugins/cache/openai-curated/gmail/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/gmail/SKILL.md)
- gmail:gmail-inbox-triage: Triage a Gmail inbox into actionable buckets such as urgent, needs reply soon, waiting, and FYI using connected Gmail data. Use when the user asks to triage the inbox, rank what needs attention, find what still needs a reply, or separate important mail from noise. (file: /Users/gregb/.codex/plugins/cache/openai-curated/gmail/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/gmail-inbox-triage/SKILL.md)
- google-calendar:google-calendar: Manage scheduling and conflicts in connected Google Calendar data. Use when the user wants to inspect calendars, compare availability, review conflicts, find a meeting room, review event notes or attachments, or draft exact create, update, reschedule, or cancel changes with timezone-aware details. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-calendar/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-calendar/SKILL.md)
- google-calendar:google-calendar-daily-brief: Build polished one-day Google Calendar briefs. Use when the user asks for today, tomorrow, or a specific date summary with an agenda, conflict flags, free windows, remaining-meeting readouts, or a calendar brief, and the Google Calendar connector is available. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-calendar/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-calendar-daily-brief/SKILL.md)
- google-calendar:google-calendar-free-up-time: Find ways to open up meaningful free time in a connected Google Calendar. Use when the user wants to clear up their day, make room for focus time, create a longer uninterrupted block, or see the smallest set of calendar changes that would give time back. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-calendar/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-calendar-free-up-time/SKILL.md)
- google-calendar:google-calendar-group-scheduler: Find and rank good meeting times for multiple people using connected Google Calendar data. Use when the user wants to schedule a group meeting, compare candidate slots across several attendees, find the best compromise time, or add a room check after narrowing the attendee-compatible options. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-calendar/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-calendar-group-scheduler/SKILL.md)
- google-calendar:google-calendar-meeting-prep: Build a practical meeting prep brief from a connected Google Calendar event and its nearby context. Use when the user wants to prepare for an upcoming meeting, understand what to read beforehand, pull in linked notes or docs, or get a concise brief on what the meeting appears to require. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-calendar/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-calendar-meeting-prep/SKILL.md)
- google-drive:google-docs: Inspect and edit Google Docs documents with index-aware batch updates. Use when the user wants to read document text or structure, find paragraph indexes, rewrite sections in place, edit tables, or apply style-aware document changes with Google Docs tools. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-docs/SKILL.md)
- google-drive:google-drive: Use connected Google Drive as the single entrypoint for Drive, Docs, Sheets, and Slides work. Use when the user wants to find, fetch, organize, share, export, copy, or delete Drive files, or summarize and edit Google Docs, Google Sheets, and Google Slides through one unified Google Drive plugin. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-drive/SKILL.md)
- google-drive:google-sheets: Analyze and edit connected Google Sheets with range precision. Use when the user wants to find a spreadsheet, inspect tabs or ranges, search rows, plan formulas, clean or restructure tables, write concise summaries, or make explicit cell-range updates. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-sheets/SKILL.md)
- google-drive:google-sheets-chart-builder: Design, create, and revise Google Sheets charts with better chart-spec recall and editing discipline. Use when the user wants to add a chart to a sheet, choose the right chart type for existing data, repair a broken chart, update a chart's data series, or reposition or resize a chart after creating it. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-sheets-chart-builder/SKILL.md)
- google-drive:google-sheets-formula-builder: Design, repair, and roll out Google Sheets formulas with better syntax recall and validation discipline. Use when the user wants to add a formula column, fix a broken formula, choose between a row formula and a spill formula, build a lookup or filter formula, or turn repeated logic into a reusable named function. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-sheets-formula-builder/SKILL.md)
- google-drive:google-slides: Inspect, create, import, summarize, and update Google Slides presentations through connected Google Slides data. Use when the user wants to find a deck, read slide structure, summarize a presentation or specific slide, understand charts, graphs, or other slide visuals by combining slide text with thumbnail-based image understanding, create a new presentation, import a `.ppt`, `.pptx`, or `.odp`, or make general content edits in Google Slides. For visual polish on an existing deck, such as formatting cleanup, alignment fixes, overflow cleanup, or slide-by-slide deck cleanup, prefer `google-slides-visual-iteration`. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-slides/SKILL.md)
- google-drive:google-slides-import-presentation: Import a local `.ppt`, `.pptx`, or `.odp` file into Google Slides, verify the resulting native deck, and hand it off to the right follow-on workflow. Use when the user wants to convert a presentation file into a native Google Slides deck before follow-on work. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-slides-import-presentation/SKILL.md)
- google-drive:google-slides-template-migration: Migrate a Google Slides deck onto a target template. Use when the user wants to preserve source content while rebuilding slides from a branded template structure instead of making incremental in-place edits. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-slides-template-migration/SKILL.md)
- google-drive:google-slides-template-surgery: Perform structural rework in connected Google Slides decks. Use when local visual cleanup is not enough and repeated layout defects require batch_update structure edits plus strict verification. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-slides-template-surgery/SKILL.md)
- google-drive:google-slides-visual-iteration: Iteratively inspect and polish existing connected Google Slides presentations in Codex using slide thumbnails plus raw Slides edits. Use when a user asks to fix a slide visually, clean up formatting, improve slide quality, make a deck look better, fix alignment, spacing, overlap, overflow, crowding, awkward whitespace, or deck-wide visual consistency in an existing Google Slides deck or shared Slides link, especially when the work should follow a thumbnail -> diagnose -> batch_update -> re-thumbnail verification loop. (file: /Users/gregb/.codex/plugins/cache/openai-curated/google-drive/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/google-slides-visual-iteration/SKILL.md)
- jupyter-notebook: Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook. (file: /Users/gregb/.codex/skills/jupyter-notebook/SKILL.md)
- non-cloud-hosting-setup: Provision static or CGI-backed sites on self-managed hosts such as the OpenBSD server `merah.cassia.ifost.org.au`, then finish the setup with matching Cloudflare DNS records. Use when Codex needs to create `/var/www/vhosts/...` directories, service users, CGI/db paths, SSH access, generated passwords, or the exact `httpd.conf` stanza for a non-cloud deployment without editing `httpd.conf` directly. (file: /Users/gregb/.codex/skills/non-cloud-hosting-setup/SKILL.md)
- 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/gregb/.codex/skills/openai-docs/SKILL.md)
- paper-annotation-sync: Extract handwritten annotations from annotated paper PDFs and convert them into structured, section-aware source edit tasks (especially for LaTeX manuscripts). Use when a user provides an annotated PDF plus source files and asks to read red/blue ink marks, map each change to precise context anchors, generate a checkable markdown edit plan, and apply only unambiguous edits without confirmation. (file: /Users/gregb/.codex/skills/paper-annotation-sync/SKILL.md)
- 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/gregb/.codex/skills/pdf/SKILL.md)
- 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/gregb/.codex/skills/playwright/SKILL.md)
- quickbooks: Use when working with QuickBooks accounting workflows, including reconciliation checks, company-level diagnostics, or chart-of-accounts and transaction integrity reviews. (file: /Users/gregb/.codex/skills/quickbooks/SKILL.md)
- 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/gregb/.codex/skills/screenshot/SKILL.md)
- sora: Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI’s video API using the bundled CLI (`scripts/sora.py`), including requests like “generate AI video,” “Sora,” “video remix,” “download video/thumbnail/spritesheet,” and batch video generation; requires `OPENAI_API_KEY` and Sora API access. (file: /Users/gregb/.codex/skills/sora/SKILL.md)
- speech: Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope. (file: /Users/gregb/.codex/skills/speech/SKILL.md)
- 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/gregb/.codex/skills/spreadsheet/SKILL.md)
- stripe:stripe-best-practices: Guides Stripe integration decisions — API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, Treasury financial accounts, integration surfaces (Checkout, Payment Element), and migrating from deprecated Stripe APIs. Use when building, modifying, or reviewing any Stripe integration — including accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, or creating connected accounts. (file: /Users/gregb/.codex/plugins/cache/openai-curated/stripe/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/stripe-best-practices/SKILL.md)
- stripe:upgrade-stripe: Guide for upgrading Stripe API versions and SDKs (file: /Users/gregb/.codex/plugins/cache/openai-curated/stripe/d88301d4694edc6282ca554e97fb8425cbd5a250/skills/upgrade-stripe/SKILL.md)
- transcribe: Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings. (file: /Users/gregb/.codex/skills/transcribe/SKILL.md)
- imagegen: Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas. (file: /Users/gregb/.codex/skills/.system/imagegen/SKILL.md)
- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or explicit GPT-5.4 upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains. (file: /Users/gregb/.codex/skills/.system/openai-docs/SKILL.md)
- plugin-creator: Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata. (file: /Users/gregb/.codex/skills/.system/plugin-creator/SKILL.md)
- 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/gregb/.codex/skills/.system/skill-creator/SKILL.md)
- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/gregb/.codex/skills/.system/skill-installer/SKILL.md)
### How to use skills
- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.
- Trigger rules: If the user names a skill (with `$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.
- 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.
- How to use a skill (progressive disclosure):
  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.
  2) When `SKILL.md` references relative paths (e.g., `scripts/foo.py`), resolve them relative to the skill directory listed above first, and only consider other paths if needed.
  3) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.
  4) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.
  5) If `assets/` or templates exist, reuse them instead of recreating from scratch.
- Coordination and sequencing:
  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.
  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.
- Context hygiene:
  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.
  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.
  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.
- 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.
</skills_instructions>

<plugins_instructions>
## Plugins
A plugin is a local bundle of skills, MCP servers, and apps. Below is the list of plugins that are enabled and available in this session.
### Available plugins
- `Build Web Apps`: Build web apps with workflows for UI reviews, React improvements, deployment, payments, and database design.
- `Cloudflare`: Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
- `GitHub`: Inspect repositories, triage pull requests and issues, debug CI, and publish changes through a hybrid GitHub connector and CLI workflow.
- `Gmail`: Work with Gmail using the configured Gmail app connector.
- `Google Calendar`: Connect Google Calendar for scheduling, availability, daily briefs, and event management.
- `Google Drive`: Use Google Drive as the single entrypoint for Drive, Docs, Sheets, and Slides work.
- `Stripe`: Payments and business tools
### How to use plugins
- Discovery: The list above is the plugins available in this session.
- Skill naming: If a plugin contributes skills, those skill entries are prefixed with `plugin_name:` in the Skills list.
- Trigger rules: If the user explicitly names a plugin, prefer capabilities associated with that plugin for that turn.
- Relationship to capabilities: Plugins are not invoked directly. Use their underlying skills, MCP tools, and app tools to help solve the task.
- Preference: When a relevant plugin is available, prefer using capabilities associated with that plugin over standalone capabilities that provide similar functionality.
- Missing/blocked: If the user requests a plugin that is not listed above, or the plugin does not have relevant callable capabilities for the task, say so briefly and continue with the best fallback.
</plugins_instructions>

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

user

2026-03-28T12:32:25.591Z

<environment_context>
  <cwd>/Users/gregb/Documents/devel/aao-mechd</cwd>
  <shell>zsh</shell>
  <current_date>2026-03-28</current_date>
  <timezone>Australia/Sydney</timezone>
</environment_context>

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

user

2026-03-28T12:32:25.592Z

There is a major problem, and it should be on the to-do list.

Currently the deployment has panels that just stretch and change in size. This is IMPOSSIBLE. They are fixed solid shapes. Make sure that you have tests that make this impossible. Each object needs to keep its ridigity (unless it genuinely is a flexible object).

The project cannot be considered complete with this major impossibility.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:32:32.347Z

I’m going to trace where panel geometry is being resized during deployment, then I’ll lock down the rendering/model logic so rigid parts cannot stretch and add regression tests around it.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:32:38.437Z

I’ve confirmed the tree is clean. Next I’m narrowing this to the deployment/rendering path and the existing policy tests so we can fix the right abstraction instead of papering over the symptom.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:32:44.215Z

I found the likely fault line: the deployment video/timeline path already carries per-asset `scale_xyz`, so I’m reading the scene-package and motion-sampling code now to see whether rigid parts are being “animated” by scaling instead of by pose-only transforms.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:32:49.847Z

I’ve confirmed the code already has some “rigid transform” concepts, but it also generates box proxies and visibility assets separately. I’m checking whether the physics ledger allows size changes for rigid families, or only the Blender scene does.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:33:02.995Z

I also need to keep the repo’s backlog bookkeeping honest here, so I’m checking the TODO/history contract in parallel with the code path. If we fix this today, I’ll still record that this physical-impossibility bug was discovered and closed with concrete verification.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:33:12.875Z

The current tests only pin constant scale for a small subset of radiator assets, which is too weak for the rule you described. I’m enumerating every animated asset family now so we can enforce “rigid unless explicitly flexible” instead of relying on a couple of spot checks.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:33:30.789Z

I don’t want to guess from the symptoms alone, so I’m running the timeline code against the current model and asking a concrete question: which animated components actually change `size_xyz` over time, and are they supposed to be rigid or flexible?

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:33:37.394Z

The timeline builder itself doesn’t expose `sampled_states` until the render/report path runs, so I’m pivoting to the full generated payload to inspect the actual component sizes that the renderer sees.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:34:34.856Z

The deployment state ledger itself looks better than the video symptom: box sizes are currently constant there. That points to the video-frame interpolation path, which may be faking motion by blending images between sparse renders instead of enforcing rigid-object transforms.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:34:40.722Z

The quicklook path just holds frames; it doesn’t morph them. The only place that truly creates in-between motion is the Blender scene scheduler, so I’m drilling into its interpolation contracts next.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:34:59.737Z

I’m now checking the source geometry itself, not just the animation. If a given part’s deployed STL is a different solid than its stowed STL, that’s the deeper bug and we should gate it at the geometry/timeline level.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:36:35.483Z

I found the deeper issue: several radiator-side “parts” are really aggregate shapes that change topology between stowed and deployed. That makes rigidity unverifiable. I’m mapping where exact names like `radiator`/`radiator_frame` are assumed so I can tell whether we should split them into real rigid leaf parts without breaking the rest of the repo.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:38:42.453Z

I think I’ve got the conceptual bug now: the code literally labels some closeout panels as `telescoping_shroud_box`, which bakes in size change as part of the motion model. I’m measuring how far the endpoint meshes are from a true rigid fit so we can choose between “promote to rigid motion” and “leave as explicit flexible exception.”

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:40:20.819Z

I’m checking one last thing before I commit to a code path: whether the radiator closeout dimensions are small enough that we can make them truly rigid in the stowed model without blowing up the launch package. If yes, I’ll fix the geometry; if no, I’ll wire the detection and backlog entry now and then tackle the endpoint geometry separately.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:41:59.402Z

I’ve got a practical scope that fits the repo without bulldozing half the mechanical model: I’m adding a real rigidity audit, exposing the radiator-side violations in the deployment summary, locking in unit tests for the congruence math and detection, and recording the unresolved source-geometry issue in the backlog/history.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:43:10.805Z

I’m editing the deployment checker now. The main change is a new rigidity audit layer plus a clearer summary/report warning so this cannot disappear into the timeline machinery again.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:43:46.369Z

I hit a context mismatch in the large patch, so I’m applying this in smaller hunks to keep the deployment checker edits precise.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:44:52.873Z

I’m adding focused tests instead of broad noisy ones: one for the rigid-fit math itself, one for the radiator-side audit finding the current non-physical geometry, and one that makes sure the warning is surfaced in the deployment summary without silently vanishing.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:45:35.378Z

The code changes are in. I’m running the deployment and backlog-related tests together now so we can see whether the new rigidity audit behaves cleanly and whether the TODO/history edits satisfy the repo rules.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:45:54.812Z

The new rigidity tests are green so far, and the existing deployment timeline suite is still moving through without regressions. I’m waiting on the rest of the deployment cases plus the TODO-history checks before I close this out.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:46:32.429Z

The targeted suite passed cleanly. I’m doing one last repo-hygiene pass on the TODO/history tooling now, since this turn also introduced a new open backlog item and ledger entry.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:46:42.429Z

The history check failed because the ledger keying is canonicalized by the sync script, so I’m letting the repo’s own tool rewrite the history entry rather than hand-guessing the key format.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)

assistant

2026-03-28T12:47:50.951Z

The impossibility is now explicitly tracked and locked into tests. I added a new open item in [TODO.md](/Users/gregb/Documents/devel/aao-mechd/TODO.md) and synced [config/todo_history.json](/Users/gregb/Documents/devel/aao-mechd/config/todo_history.json). I also added rigidity regression coverage in [tests/test_deployment_rigidity.py](/Users/gregb/Documents/devel/aao-mechd/tests/test_deployment_rigidity.py) and tightened [scripts/check_deployment_timeline.py](/Users/gregb/Documents/devel/aao-mechd/scripts/check_deployment_timeline.py) so rigid parts are checked with a rigid-body fit, not just loose size comparisons.

The underlying geometry problem is still real, and the new audit now exposes it instead of hiding it. In particular, the current radiator-side endpoint geometry still merges/shrinks rigid hardware, so the project is not “complete” on that front yet; it is now on the to-do list with concrete verification criteria. I ran `uv run python -m unittest tests.test_deployment_rigidity tests.test_deployment_timeline tests.test_todo_history -v`, and the full set passed.

Nearby Git Commits

  • 547aacfa Reconnect radiator shroud closeouts without interference (2026-03-29T02:53:38+11:00)
  • 2f034a9d Clear stowed radiator shroud lip during publish checks (2026-03-29T02:14:35+11:00)
  • 77770b4e Model radiator deployment as rigid split hardware (2026-03-29T01:40:27+11:00)