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.svg" alt="Measured on agentmods" 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 | $0.00244 | $0.12145 |
| Opus 5 | $0.00122 | $0.06073 |
| Sonnet 5 | $0.00049 | $0.02429 |
| Haiku 4.5 | $0.00024 | $0.01214 |
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 8d 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 — 899 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Astro DSO Documentation Generator
Generates five deliverables for a deep-sky object (DSO) astrophotography project:
project.json— a flat JSON file containing the PixInsight project description data (copy thedescriptionfield value into the Description box of.xosm)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.
Workflow
Step 1 — Identify the Target
Extract the DSO name/catalog number from the user's message. If ambiguous or missing, ask for it before proceeding.
Common catalog prefixes: NGC, IC, M (Messier), Sh2 (Sharpless), B (Barnard), vdB, LBN, LDN, Ced, RCW.
Step 2 — Collect Acquisition Data (interactive)
Ask the user the following questions one block at a time (don't dump all at once). Wait for answers before proceeding.
Block A — Instrument:
What instrument did you use?
(e.g. telescope model, focal length, f-ratio, camera, built-in filter)
Block B — Site:
Where did you image from?
(location name, lat/lon if known, approximate altitude)
Block C — Session files:
Please provide the path to the folder or list of session files.
(e.g. /path/to/sessions/ or paste filenames directly)
If the user gives a directory path, scan it with Bash:
ls -1 /path/to/sessions/ | grep -iE '\.(tiff?|fits?|xisf|cr2|nef|dng|raf|jpg|jpeg|png)$' | sort
What ships with it
2 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.
- 8d 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 (45 stars, last pushed 2mo ago), licensed MIT. It adds 244 tokens to every session and 12,145 once invoked, about $0.0012 per session on Opus 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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