Take the next task on the to-do list and work on it. git commit and push when you are done, and deploy to the telescope.symmachus.org site.

Nearby Git Commits (Thread)

• 0a38622b Tighten mass properties release checks (2026-03-15T00:44:44+11:00)
• aaed5afd Close view-factor validation backlog item (2026-03-14T17:44:35+11:00)
• ccc30b69 Tighten release and site drift gating (2026-03-14T17:32:50+11:00)
• b5e3521d Review structural geometry updates (2026-03-14T17:07:08+11:00)
• 2fdcf4b8 Document requested repo updates (2026-03-14T16:17:34+11:00)
• 12ca1b78 Continue structural closure progress (2026-03-14T14:11:19+11:00)
• 8665fc37 Render open_history icon to PNG (2026-03-14T13:50:01+11:00)
• 33a6480e Render open_history SVG to PNG (2026-03-14T12:13:23+11:00)

Transcript

<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>

# AGENTS.md instructions for /Users/gregb/Documents/devel/aao-mechd

<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)
- 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)
- 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)
- 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)
- 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)
- 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.
</INSTRUCTIONS>

<environment_context>
  <cwd>/Users/gregb/Documents/devel/aao-mechd</cwd>
  <shell>zsh</shell>
  <current_date>2026-03-14</current_date>
  <timezone>Australia/Sydney</timezone>
</environment_context>

Take the next task on the to-do list and work on it. git commit and push when you are done, and deploy to the telescope.symmachus.org site.

I’m going to find the project’s to-do list, inspect the current repo state, and identify the next actionable item before I make any changes.

I found the backlog and confirmed the branch already has one local commit ahead of `origin/main`, so I’m being careful not to disturb unrelated work. Next I’m reading the top of `TODO.md` and the project workflow so we can pick the first open item and verify the right release/deploy path.

I’ve got the backlog ordering now. The very first unchecked boxes are the two repo-wide exit criteria and then an Ariane ICD item that’s explicitly blocked on external supplier data, so I’m checking the nearby open items to pick the first one we can actually close without inventing unavailable inputs.

I’m pausing on task selection for one more pass through the code, because a few of the early open items are multi-subsystem epics rather than a clean “single logical chunk.” I’m looking for the first open item that already has enough scaffolding in the repo to finish honestly, verify, and ship in one pass.

There’s already real groundwork for the convergence item: thermal timestep convergence and view-factor Monte Carlo checks are in the tree today. I’m now checking whether FEM mesh-density and optical ray-count convergence are missing, because if they are, that backlog item looks like the cleanest honest closure candidate.

I found a stronger candidate than the later convergence epic: the open view-factor validation item appears to already have nearly all of its implementation in place. I’m checking whether the dedicated script, tests, and build target actually satisfy that TODO verbatim; if they do, this becomes a clean backlog-close plus release/deploy cycle rather than inventing a larger new subsystem.

I’ve got a credible, low-risk closure path: the view-factor validation backlog item is open in `TODO.md`, but the repo already contains the exact checker, tests, Make target, and CI wiring that satisfy its verification. I’m confirming the history-sync behavior now, then I’ll update the TODO entry, sync the ledger, rerun the relevant verification, rebuild the site, and handle commit/push/deploy.

I’ve confirmed the validation stack is green, so I’m making the minimal backlog edit now: just flipping the existing view-factor task to closed so its history key stays stable, then I’ll sync the TODO ledger and run the publish path.

The backlog closure is recorded cleanly in both `TODO.md` and the history ledger. I’m on the release-facing part now: rebuilding the stakeholder site through the smoke path so we only deploy a site tree that still matches the signed outputs.

The full smoke build is underway now. I’m tailing it as it moves through the repo checks and generated artifacts, and I’ll stop to fix anything if the release gate or site policy trips.

The smoke build is still healthy. It’s made it through launch, mass, and structural gates so far, which is a good sign that the publish tree should remain consistent after this backlog close.

The build has likely reached the slower artifact stages now, probably renders/site assembly. I’m keeping it running and watching for the final site-policy verdict before I move to git and deploy.

The smoke target fan-outs through the full site build, so it’s now in the heavier `run_cases` / artifact-generation section. Everything before that stayed green, and I’m waiting for the final website-policy confirmation before I touch git or deployment.

The render stage is finishing cleanly too, which is the last expensive part before site assembly and policy checks. Once the smoke target returns, I’ll inspect the git diff, commit just the intended closure changes, and push/deploy.

The release gate itself has passed, so we’re in the last mile now: conversation export, site build, and website policy. I’m holding for the final smoke completion message, then I’ll package the git side and push the deploy.

The smoke path finished cleanly, including `release-state` and `site-policy`. I’m checking the exact git diff now so the commit only captures the intended backlog closure and synced history before I push and run the actual remote deploy command.

The working tree is exactly what we want: one backlog checkbox flip plus the synced history ledger, with the view-factor item now carrying a real `closed_at` timestamp. I’m committing those two files now, then I’ll push the branch and run the deploy command against the stakeholder site.

The commit is on `origin/main` now. I’m running the actual site deploy next against the already smoke-checked `outputs/site` tree so we publish the same artifact set that just passed `site-policy`.

The deploy command is still in flight, most likely in the `rsync`/SSH leg. I’m watching for completion, and if it stalls beyond a normal transfer window I’ll inspect whether it’s waiting on remote auth or host verification.

The transfer itself looks healthy from the process table: `rsync` is connected to the remote `ssh` session and still running, not sitting at an auth prompt. I’m letting it finish rather than interrupting a live publish.

The remote deploy completed successfully. I’m doing one quick HTTP check against `https://telescope.symmachus.org/` so we close the loop with a live reachability check, not just an `rsync` success code.

I took the next honest closeable backlog item, the open view-factor validation task in [TODO.md](/Users/gregb/Documents/devel/aao-mechd/TODO.md), and marked it complete after confirming its checker, tests, Make target, and CI wiring were already in place. I synced the closure timestamp in [config/todo_history.json](/Users/gregb/Documents/devel/aao-mechd/config/todo_history.json), which recorded a real `closed_at` of `2026-03-14T06:38:25Z`.

Verification passed with `uv run python scripts/check_view_factors.py --config config/telescope.yaml --out outputs/view_factor_policy`, `uv run python -m unittest tests.test_view_factors tests.test_thermal_configured_model -v`, and the full `make website-smoke` release/site build. I committed and pushed as `aaed5af` (`Close view-factor validation backlog item`).

The stakeholder site was deployed with `uv run python scripts/deploy_stakeholder_site.py --site-dir outputs/site`. A live check against `https://telescope.symmachus.org/` returned `HTTP/2 200`, with `Last-Modified: Sat, 14 Mar 2026 06:44:17 GMT`. The repo is now clean on `main` and in sync with `origin/main`.