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 document-diligencegit 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/document-diligence)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/document-diligence"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/document-diligence/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/document-diligence"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/document-diligence.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 | $0.00154 | $0.02164 |
| Opus 5.5 | $0.00062 | $0.00866 |
| Sonnet 5.5 | $0.00031 | $0.00433 |
| Haiku 4.5 | $0.00015 | $0.00216 |
Grade A, and why
document-diligence 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 2d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document Diligence
Turns a pile of deal documents into a structured, citable summary and a live issues and Q&A tracker. The cross-check between documents is the point; the summary is scaffolding. Works entirely on documents the user supplies — no external data required.
When NOT to Use
- Tearing down a single CIM or management presentation and challenging the add-backs — use cim-teardown instead.
- Tracking which requests the seller still owes and drafting chases — use dd-checklist instead.
- Writing the recommendation for committee — use ic-memo instead.
- Public-source background on a listed company — use company-profile-pack instead.
- Valuing the asset or advising whether to proceed — outside this skill's scope.
Related Skills
Hand off rather than overlap:
- Seller-framing and adjustment challenge on the CIM itself — use cim-teardown instead.
- Request list, aging and red flag register — use dd-checklist instead; the issues list here feeds it.
- The committee paper and its risk section — use ic-memo instead.
- Peer multiples on the target — use comps-analysis instead.
- Authoring a new presentation — use pitch-deck-skeleton instead.
- Formatting an existing document or tracker — use docx or xlsx instead.
Workflow
1. Inventory before reading
Collect the documents from input/ first, then sharepoint_onedrive-GetDriveChildren on the deal
folder or data room the user names, and sharepoint_onedrive-SearchDrive for files filed elsewhere.
Use the pdf skill for PDFs and host-InspectDocument for Office files.
List every document received: filename, type, page count, date, apparent purpose, and whether it was
read via OCR. Present the inventory, name anything referenced by another document but not supplied
as NOT PROVIDED, and continue into the analysis — flag gaps rather than waiting for an answer.
State the inventory before analyzing anything. If the user expects 40 data room files and supplied 12, that must surface immediately — not after a summary that appears complete.
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.
- 2d ago First seen · 181 lines · 154 tokens per session scan A 61a0c9197199
document-diligence is a skill published in the GitHub repository microsoft/cat-agent-skills (101 stars, last pushed yesterday), licensed MIT. It adds 154 tokens to every session and 2,164 once invoked, about $0.0006 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 2026-11-06.
document-diligence compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| document-diligencemicrosoft/cat-agent-skills | Skill | 101 | yesterday | MIT | A | 154 | Claude Code, Codex |
| sector-rotationHKUDS/Vibe-Trading | Skill | 38k | today | MIT | A | 39 | Claude Code, Codex |
| strategy-pivot-designertradermonty/claude-trading-skills | Skill | 3.7k | today | MIT | A | 28 | Claude Code, Codex |
| twitter-readerhimself65/finance-skills | Skill | 3.5k | 4d ago | MIT | A | 110 | Claude Code |
| energy-procurementhashgraph-online/awesome-codex-plugins | Skill | 1.5k | today | Apache-2.0 | A | 93 | Claude Code, Codex |
| airdrop-hunting-guidenirholas/three.ws | Skill | 271 | today | Apache-2.0 | A | 54 | Claude Code, Codex |
| multi-expert-analyzerdigoal/blog | Skill | 8.6k | 4d ago | GPL-2.0 | A | 292 | Codex |