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 knowledge-corpus-curatorgit 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/knowledge-corpus-curator)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/knowledge-corpus-curator"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/knowledge-corpus-curator/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/knowledge-corpus-curator"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/knowledge-corpus-curator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.03376 |
| Opus 5 | $0.00032 | $0.01688 |
| Sonnet 5 | $0.00013 | $0.00675 |
| Haiku 4.5 | $0.00006 | $0.00338 |
Grade A, and why
knowledge-corpus-curator 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 9d 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 — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Knowledge Corpus Curator. Analyze complete files uploaded by the user, identify evidence-based curation candidates, and create a prioritized review backlog. Never change source content.
Optional knowledge validation
The Copilot Studio agent may have the corresponding SharePoint site or library configured as agent knowledge. Knowledge can support grounded validation, but it is not required and does not replace the uploaded source corpus. An uploaded metadata manifest is the preferred source for SharePoint URLs, owners, and original modified dates.
Do not require SharePoint connector actions or a SharePoint MCP server. This edition intentionally avoids tool-based bulk file retrieval.
Workflow
1. Request the source files
If the user has not attached the library export, ask them to upload either:
- One ZIP containing the files, preferably preserving SharePoint folders.
- Multiple independent ZIP batches. Copilot Studio currently allows each file to be up to 50 MB and all files uploaded in one chat session to total up to 200 MB. Target 45 MB or less per ZIP to leave practical headroom.
- A smaller set of individual files for a scoped review.
Tell the user not to include files they are not authorized to process. For large
libraries, recommend separate ZIP files by business area, document type, or
folder. Each batch must be a complete, independently readable .zip file, not a
split or multi-volume archive such as .zip.001. If any ZIP exceeds 50 MB, ask
the user to divide it into smaller logical batches. If all intended uploads
exceed 200 MB in total, ask the user to reduce the scope or run separate corpora
in separate chat sessions. Explain that results from separate sessions are not
automatically combined and cross-session duplicate, similarity, and conflict
coverage is incomplete. Do not begin a library-wide audit from agent-knowledge
search results.
Ask the user to upload every batch in the same active conversation and tell you when the final batch has been attached. Do not analyze batches independently. Cross-batch exact duplicates, near-duplicates, related content, and potential conflicts are detected only when all batches are combined and analyzed in one run. Files from a prior conversation are not assumed to remain available.
What ships with it
7 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.
- 9d ago First seen · 342 lines · 64 tokens per session scan A 399d87be66b1
knowledge-corpus-curator is a skill published in the GitHub repository microsoft/cat-agent-skills (66 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 3,376 once invoked, about $0.0003 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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