Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jjmartres/ai-coding-agentsnpx agentmods add skills/jjmartres/ai-coding-agents/astro-dso-docWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jjmartres/ai-coding-agents/astro-dso-doc)<a href="https://agentmods.dev/skills/jjmartres/ai-coding-agents/astro-dso-doc"><img src="https://agentmods.dev/badge/skills/jjmartres/ai-coding-agents/astro-dso-doc/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jjmartres/ai-coding-agents/astro-dso-doc"><img src="https://agentmods.dev/badge/skills/jjmartres/ai-coding-agents/astro-dso-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00311 | $0.15980 |
| Opus 5.5 | $0.00124 | $0.06392 |
| Sonnet 5.5 | $0.00062 | $0.03196 |
| Haiku 4.5 | $0.00031 | $0.01598 |
Grade A, and why
astro-dso-doc scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 28d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Astro DSO Documentation Generator
Generates up to six deliverables for a deep-sky object (DSO) astrophotography project:
- Project structure +
rig.json— the on-disk directory skeleton (raw/,processing/,finals/) and a schema-validated JSON file describing the rig, site, and per-filter acquisition sequences, built primarily by reading FITS headers directly out ofraw/light,raw/dark,raw/flatrather than by manual entry. project.json— a flat JSON file containing the PixInsight project description data (copy thedescriptionfield value into the Description box of.xosm). Derived automatically fromrig.jsonwhen the project was bootstrapped (Step 0b).doc/index.html— a rich, self-contained HTML documentation page (path goes into the Documentation field of.xosm), using the Catppuccin flavor palette with a theme switcher.doc/processing-checklist.html— an interactive step-by-step PixInsight processing checklist adapted to the target's filter set (LRGB, HOO, SHO, RGB-only, etc.), using the same Catppuccin design system.astrobin.json— a structured JSON file containing all AstroBin image post fields, ready to copy-paste into the AstroBin upload form.Process Icons - <common_name> - <workflow_type> workflow.xpsm— a PixInsight process icon set tailored to the detected workflow (LRGB, RGB, HOO, SHO), generated from the processing checklist phases.
A project can be a smart telescope (single pre-stacked file per session — see Edge Cases) or, more commonly now, an own rig shooting raw calibrated-later frames (light/dark/flat) — the default assumption throughout this skill.
Workflow
Step 0 — Bootstrap Project (Directory Structure + rig.json)
Run this step first whenever the user asks to bootstrap/initialize/setup a project, or whenever the working directory contains only a raw/ folder and no rig.json yet. It replaces manual data entry (Step 2) whenever real acquisition data is available in FITS headers. It produces the on-disk skeleton and a validated rig.json — the source of truth for every other step in this skill.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 28d ago Changed · +264 lines · +67 tokens per session a8dd2eb5d8d7
- 1mo ago First seen · 899 lines · 244 tokens per session scan A 39b3c3187e81
astro-dso-doc is a skill published in the GitHub repository jjmartres/ai-coding-agents (48 stars, last pushed 2d ago), licensed MIT. It adds 311 tokens to every session and 15,980 once invoked, about $0.0012 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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