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-source-routergit 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-source-router)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/knowledge-source-router"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/knowledge-source-router/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-source-router"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/knowledge-source-router.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 | $0.00079 | $0.01206 |
| Opus 5.5 | $0.00032 | $0.00482 |
| Sonnet 5.5 | $0.00016 | $0.00241 |
| Haiku 4.5 | $0.00008 | $0.00121 |
Grade A, and why
knowledge-source-router 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 1mo 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Source Router
Route country-specific questions through SharePoint metadata before searching document content. A country identifies which documents apply; it is not a keyword to search for inside those documents.
Follow this workflow in order. The content search depends on URLs returned by the metadata filter, so it cannot run in parallel with metadata discovery.
1. Discover the Country metadata
Start with a broad metadata call:
sharepoint_metadata_filter(includeColumns: ["*"])
Read availableColumns as the authoritative list of library metadata.
- If
Countryexists, use that exact column name and its recorded values. - If
Countryis absent, state that the library does not track Country and stop. - If the request does not identify a specific country, inspect the available Country values before asking the user to choose one.
Do not infer a file's country from its title, folder, contents, or general knowledge.
2. Establish the complete country set
First inspect the whole library:
sharepoint_metadata_filter(groupByColumn: "Country")
Use the returned groups, totalMatched, and blankCount directly. The
expected relationship is:
sum(groups) + blankCount == totalMatched
Do not pre-filter this call with keyword. A keyword would reveal only files
about that term, not every file assigned to the country.
Then enumerate all files for the requested country:
sharepoint_metadata_filter(
columnFilter: { column: "Country", operator: "eq", value: "<recorded value>" },
includeColumns: ["*"]
)
For a comparison, retrieve the countries together:
sharepoint_metadata_filter(
columnFilter: {
column: "Country",
operator: "in",
values: ["<recorded value 1>", "<recorded value 2>"]
},
includeColumns: ["*"]
)
Match the library's recorded values rather than silently normalizing, expanding, or substituting them. Include every returned file, including underscore-prefixed files and index files.
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.
- 1mo ago Changed · +134 lines · +32 tokens per session ac8defd50c46
- 1mo ago First seen · 24 lines · 47 tokens per session scan A 82106480cf8e
knowledge-source-router is a skill published in the GitHub repository microsoft/cat-agent-skills (93 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,206 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 2026-08-30.
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