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 study-flashcardsgit 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/study-flashcards)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/study-flashcards"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/study-flashcards/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/study-flashcards"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/study-flashcards.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 | $0.00136 | $0.02072 |
| Opus 5.5 | $0.00054 | $0.00829 |
| Sonnet 5.5 | $0.00027 | $0.00414 |
| Haiku 4.5 | $0.00014 | $0.00207 |
Grade A, and why
study-flashcards 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 23d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Reads whatever study material the user provides — notes, a slide deck, a textbook chapter, a PDF, pasted text, or a referenced web page — and produces study aids grounded strictly in that source: a stack of flashcards (front/back) and a practice quiz with a separate answer key. Guide and study guide requests default to the bundled interactive HTML app. Nothing in the output goes beyond what the source material actually says.
When to Use
- The user uploads or references notes, slides, or a document and asks for flashcards, a quiz, or a study guide.
- The user says "create a guide based on this" or otherwise uses "guide" for source-grounded learning material.
- The user names an exam, certification, or class and wants practice material built from specific material they provide.
- The user asks to "quiz me on [topic]" right after sharing or pointing to a document.
When NOT to Use
- Full essay grading, open-ended Socratic tutoring, or free-form Q&A dialogue — use a general writing or tutoring skill instead.
- Building a complete curriculum, syllabus, or multi-week lesson plan — that's course design, not single-session study-aid generation.
- The user wants general knowledge quizzed with no source material of their own — this skill exists specifically to test recall of THEIR material, not trivia.
Core Instructions
Step 1: Locate the Source Material
- If the user attached or uploaded a file, read it directly — PDF, Word doc, slide deck, plain text, or pasted notes all count as source material.
- If the user points to a web page and you cannot open it in this environment, ask them to paste the text or attach the page as a file instead.
- If nothing is attached or pasted, ask the user to provide their notes or attach the file. Do not substitute general knowledge for material the user hasn't actually given you.
- If more than one file is available or the topic scope is unclear, confirm which material and which section/range to build from before generating anything.
What ships with it
3 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.
- 23d ago First seen · 139 lines · 136 tokens per session scan A 4e8003fe42aa
study-flashcards is a skill published in the GitHub repository microsoft/cat-agent-skills (93 stars, last pushed today), licensed MIT. It adds 136 tokens to every session and 2,072 once invoked, about $0.0005 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 2026-10-05.
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