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 exam-prep-learning-plan-buildergit 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/exam-prep-learning-plan-builder)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/exam-prep-learning-plan-builder"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/exam-prep-learning-plan-builder/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/exam-prep-learning-plan-builder"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/exam-prep-learning-plan-builder.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 | $0.00146 | $0.02426 |
| Opus 5.5 | $0.00058 | $0.00970 |
| Sonnet 5.5 | $0.00029 | $0.00485 |
| Haiku 4.5 | $0.00015 | $0.00243 |
Grade A, and why
exam-prep-learning-plan-builder 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exam Prep Learning Plan Builder
Compatibility
If Code Interpreter is available, populate assets/plan-app-template.html with the plan JSON and return it as a downloadable .html file. If Code Interpreter isn't available, present the plan as formatted chat text instead.
Step 1: Gather the inputs
Before building anything, get these four things (plus preferred study time if they want calendar events). If the person hasn't given them, ask (use a lightweight elicitation tool if one is available, otherwise just ask directly in plain language):
- Exam date — this sets the total runway and whether the plan needs to be in triage mode (see below).
- Syllabus or topic list — the domains or chapters the exam covers. If the person doesn't have an official breakdown, help them reconstruct one from the exam's public objectives (search if you have the ability to) or ask them to list what they remember the exam covering.
- Weekly study time available — realistic hours per week, not aspirational ones. If they give a number that seems very high for someone with a job or a life, gently sanity-check it rather than just taking it at face value.
- Self-rated confidence per topic — ask them to rate each topic Low / Medium / High. Don't skip this step even if the person seems eager to get straight to a schedule. This is the single input that makes the plan personalized instead of generic, and it's worth the extra thirty seconds it takes them to answer.
If the person gives you a big pasted syllabus, don't ask them to rate every single sub-bullet. Group it into a sane number of topics (roughly 6-15) and have them rate at that level.
- Preferred study time (optional) — a rough time of day works fine, "evenings around 7" or "lunch breaks." This only matters for the
.icsfile (see Step 4), since calendar events need an actual time, not just a date. If the person doesn't give one, default to a reasonable early-evening block (e.g. 7:00-8:00 PM) and say plainly in the plan that the times are placeholders they should adjust to fit their real schedule.
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 First seen · 103 lines · 146 tokens per session scan A 7a00f2931fee
exam-prep-learning-plan-builder is a skill published in the GitHub repository microsoft/cat-agent-skills (93 stars, last pushed today), licensed MIT. It adds 146 tokens to every session and 2,426 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 2026-08-30.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.