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 ai-rollout-educationgit 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/ai-rollout-education)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/ai-rollout-education"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/ai-rollout-education/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/ai-rollout-education"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/ai-rollout-education.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 | $0.00166 | $0.02294 |
| Opus 5.5 | $0.00066 | $0.00918 |
| Sonnet 5.5 | $0.00033 | $0.00459 |
| Haiku 4.5 | $0.00017 | $0.00229 |
Grade A, and why
ai-rollout-education 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Rollout and Role-Based Training
Overview
Runs a multi-wave AI enablement programme: who is in each cohort, what they must complete first, which learning path fits their role, what communications go out when, and whether support capacity is sufficient to open the next wave.
When to Use
- Planning or running a phased AI rollout across roles, sites, or sectors (school-age or higher education)
- The user asks about wave readiness, cohort status, prerequisites, or academic-calendar fit
- A request may put the capability in front of learners and needs referring out (Step 6 tripwire)
- Adjusting the programme between waves based on feedback and capacity
When NOT to Use
- Approving or risk-reviewing the AI tools — use governance-review-for-education
- A single announcement or update message — use stakeholder-comms
- Individual staff performance or competency judgments, including appraisal and lesson observation
- Authoring the academic-integrity or AI-use policy itself — that is a drafting task
- Planning or gating a learner-facing wave, or determining any consent requirement
Shared Skill Contract
This skill follows the institution's shared contract for every run:
- Intent check — confirm outcome, audience, timeframe, and format before working.
- Source plan — show the sources selected, their date ranges, access gaps, and freshness.
- Clarification gate — ask only for missing information that would change the result.
- Staged execution — keep discovery, synthesis, creation, review, and finalization separate.
- Reviewable output — separate facts, interpretation, recommendations, assumptions, and open questions.
- Human approval — require confirmation before sending, publishing, or changing any record.
- Reusable state — carry accepted decisions forward without silently reusing stale assumptions.
- Quality check — run the checks below before presenting final output.
- Telemetry — log workflow signals only; never sensitive content.
- Failure behavior — explain missing access, unsupported sources, uncertainty, and partial completion.
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 · 144 lines · 166 tokens per session scan A 57dba8846f16
ai-rollout-education is a skill published in the GitHub repository microsoft/cat-agent-skills (101 stars, last pushed yesterday), licensed MIT. It adds 166 tokens to every session and 2,294 once invoked, about $0.0007 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.
ai-rollout-education compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-rollout-educationmicrosoft/cat-agent-skills | Skill | 101 | yesterday | MIT | A | 166 | Claude Code, Codex |
| hr-onboardingnexu-io/open-design | Skill | 107k | today | Apache-2.0 | A | 62 | Claude Code, Codex |
| book-mirrorgarrytan/gbrain | Skill | 32k | today | MIT | A | 138 | Claude Code |
| exam-forecastanthropics/claude-for-legal | Skill | 9.9k | yesterday | Apache-2.0 | A | 73 | Claude Code |
| lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | today | MIT | A | 81 | Claude Code |
| eli5companion-inc/feynman | Skill | 10k | yesterday | MIT | A | 63 | Claude Code, Codex |
| deck-course-modulenexu-io/html-anything | Skill | 9.5k | today | Apache-2.0 | A | 25 | Claude Code, Codex |