microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add microsoft/cat-agent-skills --skill spec-ingestgit clone --depth 1 https://github.com/microsoft/cat-agent-skillsWrote 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/microsoft/cat-agent-skills/spec-ingest)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/spec-ingest"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/spec-ingest/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/microsoft/cat-agent-skills/spec-ingest"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/spec-ingest.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 | $0.00083 | $0.00621 |
| Opus 5.5 | $0.00033 | $0.00248 |
| Sonnet 5.5 | $0.00017 | $0.00124 |
| Haiku 4.5 | $0.00008 | $0.00062 |
Grade A, and why
spec-ingest 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 today.
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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec Ingest
Purpose
Turn the lot's raw documents into structured contract inputs: a characteristics table (with tolerances AND criticality, including note-derived criticality), a normalized measurements table, and the certificate's claims.
When to use
Start of every Quality Inspection & Nonconformance run.
Inputs
- Part spec / drawing extract (PDF or text): characteristic IDs, nominals, tolerances, notes.
- Inspection plan (text/PDF): which characteristics are checked, sample plan.
- Measurement export (CSV/XLSX from CMM or gauges): per-part values.
- Certificate of conformance (text/PDF), if supplied. Emits inputs for contract mfg.quality-inspection.v1 (schema in contracts/).
Steps
- Verify part number and revision match across drawing, plan, results and CoC. A mismatch blocks the run (disposition-rules.md #4.4).
- Extract characteristics: name, unit, nominal, lower/upper tolerance, rework note, citation (drawing characteristic ID + revision) - AND criticality. Criticality can come from a table column or from a drawing NOTE (e.g., a note marking a surface fatigue-critical); carry the note as criticality_source. Missing this is how critical defects get graded cosmetic.
- Extract the CoC's conformity claims into coc{} - each claim lists the characteristics it covers, verbatim claim text, and the certificate citation. Claims are supplier declarations, not verification (ISO 9001 8.4.3).
- Normalize measurements to rows of {part_serial, characteristic, value}; keep the source file and row as the citation trail.
- Write characteristics.json, measurements.csv, coc.json.
Output
characteristics.json + measurements.csv + coc.json - the contract's input hop.
Grounding requirements
Every characteristic cites its drawing ID + revision (and note number when criticality is note-derived); CoC claims cite the certificate document ID.
Constraints
- Never guess or interpolate a tolerance; missing tolerance -> not_evaluated, escalate.
- Never proceed on a part-number or revision mismatch.
- Never drop or soften a drawing note - notes carry criticality.
- No deviation math here - that is tolerance-check's job.
What ships with it
4 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.
- today First seen · 38 lines · 83 tokens per session scan A 26d89ae4b676
spec-ingest is a skill published in the GitHub repository microsoft/cat-agent-skills (93 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 621 once invoked, about $0.0003 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 2026-10-28.
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