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Take the next task on the to-do list and work on it. Confirm that all tests pass. Review your work for sanity (e.g. by looking at images and considering what to see there as well as reading reports) and add any new tests that would be needed for those sanity checks. When you have reached a suitable stopping point, git add, commit and push; then deploy to merah.

ID

019cf8eb-2c37-74a0-8518-e0342961ae77

Created

2026-03-16T23:11:27.810Z

Updated

2026-03-16T23:29:12+00:00

CWD

/Users/gregb/Documents/devel/aao-mechd

Source

exec

Transcript Source

/Users/gregb/.codex/sessions/2026/03/17/rollout-2026-03-17T10-11-27-019cf8eb-2c37-74a0-8518-e0342961ae77.jsonl

Codex Home

/Users/gregb/.codex

<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>2026-03-17</current_date>
  <timezone>Australia/Sydney</timezone>
</environment_context>

Take the next task on the to-do list and work on it. Confirm that all tests pass. Review your work for sanity (e.g. by looking at images and considering what to see there as well as reading reports) and add any new tests that would be needed for those sanity checks. When you have reached a suitable stopping point, git add, commit and push; then deploy to merah.

I’m picking up the next item from the project’s to-do list, then I’ll trace the relevant code and test/deploy workflow so we can carry it through cleanly end to end.

I’ve found the repo to-do list and confirmed the worktree is clean, so next I’m reading the task ordering plus the project’s test and deploy conventions before I touch code.

The first unchecked backlog item is an Ariane ICD dependency that may be externally blocked, so I’m checking the repo history and surrounding tooling to see whether “next task” here means “first actionable item” versus a genuinely available launcher update.

I’m doing one quick reality check against official/public Ariane sources, because if those ICD-controlled launch-interface values have actually become available, that really would be the next task to close.

The Ariane ICD item still looks blocked by public data: I found the March 2021 Ariane 6 user manual, but not a newer official document with the exact ICD-controlled LPSS bolt-pattern values. I’m moving to the first actionable engineering item right after the recent geometry-completeness work and mapping the existing geometry/checks around the launch restraint hardware to see where the cleanest closure path is.

I’ve narrowed this to the stowed-launch hardware task: the repo already has launch-restraint geometry and a consistency checker, but I need to inspect whether the released geometry, manufacturing package, and mechanical model are actually tied together tightly enough to satisfy the TODO verification and be safe to close.

The current launch-hardware checker is close but not all the way there: it verifies count/radii/OD/wall/rotation, yet it doesn’t prove the released manifest carries the phased attach layout or that the manufacturing interface/BOM definitions stay aligned with the geometry families. I’m digging into the assembly and manufacturing checks next so I can close the actual gap rather than just rename it.

I found a concrete consistency gap worth fixing: the `launch_restraint_interface` currently references the bus and the launch hardware BOM rows, but not the telescope-side platform structure that the platform clevises actually attach to. I’m updating the release data and checks around that, along with adding the per-restraint phased layout data the checker still lacks.

I’ve got the shape of the fix now: I’m adding explicit per-restraint layout data to the launch proxy and stowed launch manifest, correcting the launch-restraint interface to include the telescope-side platform attachment, and then tightening the consistency checker and regression tests around those artifacts.

I’m in the middle of the checker rewrite now. The main thing I’m being careful about is keeping the new release contract independent: the checker will read back the actual exported stowed STL parts, not just compare two JSON files that were written by the same step.

I’ve finished the code edits and I’m running the focused regression set first to catch any wiring mistakes quickly before I do the full suite and rebuild.

The focused tests are mostly green so far. I’m waiting on the slower manufacturing-package cases to finish, then I’ll either fix the remaining issue or move straight into the full verification/rebuild.

The full unit test suite is running now. After that I’m going to regenerate the release artifacts, read the launch-hardware report, and inspect the stowed render so we’re not relying on tests alone.

The full suite is in its slower artifact-backed section, so I’m letting it finish rather than interrupting it. Once it clears, I’ll run the release gate and inspect the fresh stowed imagery/report output from this launch-hardware change.

The code-level verification is clean: the focused tests and the full 306-test suite both passed. I’m moving into the release-artifact side now so we can sanity-check the actual launch-hardware report and the stowed imagery before I close the TODO and ship it.

The artifact rebuild is in the heavy geometry/render stage now. I’m letting that run through so the sanity pass is based on fresh outputs from the exact code we’ve just tested.

The rebuild completed cleanly, including the fresh launch-hardware report and stowed smoke renders. I’m reading the generated report and looking at the labeled stowed views now to sanity-check the phased restraint hardware placement around the hexapod.

The report and the fresh stowed smoke renders both look sane: six launch restraints are phased 60 degrees apart with the 30-degree offset, the named clevis/actuator hardware is present, and the labeled views show the restraint hardware sitting clear of the hexapod cluster rather than collapsing onto it. I’m closing the backlog item and syncing the TODO history now, then I’ll run the release/site/deploy steps on that final state.

The targeted release artifact checks are clean and the TODO ledger is synced. I’m doing the full release/state and website-smoke path next so the eventual deploy is based on the same gated output set the repo expects.

The release-state and website-smoke path both passed, so the repo is in a deployable state now. I’m doing one last quick diff review on the changed files before I stage, commit, push, and publish to `merah`.

I noticed the history sync treated the newly closed TODO as a brand-new entry because the closed timestamp becomes part of the item text. I’m fixing that one ledger row to preserve the original first-seen/addition history before I stage the final state.

The history ledger is consistent again. I’m doing a quick final git sanity check, then I’ll stage, commit, push, and run the actual deploy command to `merah`.

The commit is on `origin/main` now. I’m deploying the already smoke-checked `outputs/site` tree directly to `merah` so we publish the exact site build that just passed the local release and site gates.

The deploy is still in flight, most likely in the `rsync` transfer stage. I’m waiting it through so I can confirm whether the site actually landed or if there’s an SSH/remote-side problem we need to surface.

The first open Ariane ICD item is still externally blocked, so I took the next actionable TODO and closed it: the stowed-launch restraint proxy is now backed by explicit released launch hardware data. The change adds per-restraint phased layout records, fixes the launch-restraint manufacturing interface so it includes both the bus-side and platform-side attachments, and makes the launch-hardware gate read back the actual exported stowed STL geometry instead of only cross-checking JSON.

Sanity looked good in [outputs/launch_hardware_consistency/report.md](/Users/gregb/Documents/devel/aao-mechd/outputs/launch_hardware_consistency/report.md), [outputs/render_smoke/stowed/labeled_hero_iso.png](/Users/gregb/Documents/devel/aao-mechd/outputs/render_smoke/stowed/labeled_hero_iso.png), and [outputs/render_smoke/stowed/labeled_exploded_iso.png](/Users/gregb/Documents/devel/aao-mechd/outputs/render_smoke/stowed/labeled_exploded_iso.png): six restraints are phased 60 degrees apart with the 30 degree offset and sit clear of the hexapod cluster. `uv run python -m unittest discover -s tests -p 'test_*.py' -q` passed with 306 tests, and `make release-state website-smoke` passed.

Committed as `516ea8a` with message `Add explicit stowed launch hardware release data`, pushed to `origin/main`, and deployed the smoke-checked site to `merah` at `https://telescope.symmachus.org/`.