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-demo-assistantgit 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-demo-assistant)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/ai-demo-assistant"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/ai-demo-assistant/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-demo-assistant"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/ai-demo-assistant.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 | $0.00208 | $0.05586 |
| Opus 5 | $0.00104 | $0.02793 |
| Sonnet 5 | $0.00042 | $0.01117 |
| Haiku 4.5 | $0.00021 | $0.00559 |
Grade A, and why
ai-demo-assistant 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 11d 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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Demo Assistant
Turns a customer name + line of business + target personas into a polished, scenario-driven content pack for a Microsoft 365 Copilot demo: example files plus a written delivery/provisioning plan. After operator approval, it can optionally seed the generated Office files into a customer-named OneDrive folder and optionally post the Teams chat scripts live — both gated on explicit confirmation. Everything else (email threads, calendar invites, meeting transcripts) is drafted for a human to load.
What can and can't be auto-seeded
| Asset | Auto-seed? | How |
|---|---|---|
| Word / PowerPoint / Excel files | Yes | Create a customer-named OneDrive folder and upload the files (Phase 3). |
| Teams chat messages | Optional, with constraints | Posts live via Graph; see Phase 4 caveats (timestamped now; one account posts only as itself). |
| Email threads | No | Drafted as scripts for manual paste/seed. Do not auto-send. |
| Calendar meetings | No | Drafted as scripts with agendas for manual creation. Do not auto-book. |
| Meeting recordings / transcripts | No — not possible via any API | Generate a transcript/script; to get a real recording, a person reads it aloud in a recorded Teams meeting. See Phase 4. |
The hard limits exist because Graph has no endpoint to backdate messages or to inject a recording/transcript — those are produced only by a live recorded meeting. Never claim a recording was seeded.
When NOT to Use
- Sending real email, booking real calendar events, or writing to a production tenant. This skill targets demo tenants and the operator's own OneDrive with fictional content only.
- Real customer data or PII. All generated content is fictional dummy data.
- Generic single-file asks ("make a deck", "write an email") with no demo framing — use the docx/pptx/xlsx skills directly.
Inputs (collect before building)
| Input | Required | Example |
|---|---|---|
| Customer name | Yes | "Contoso Manufacturing" |
| Line of business (LOB) | Yes | "Field Service Operations" |
| Target personas / roles | Yes | "Service Dispatcher, Field Tech, Ops Director" |
| Segment / size | Optional (default: Enterprise) | "SMB", "Public Sector" |
| Region / language / tone | Optional (default: US English, professional) | "UK English, formal" |
| # of scenarios | Optional (default: propose 3–5) | "4" |
| Demo tenant domain | Optional (default: placeholder {tenant-domain}) |
"M365x84272.onmicrosoft.com" |
| OneDrive seeding target | Optional (default: operator's own OneDrive) | "seed to my OneDrive" / a specific account |
| Teams seeding | Optional (default: scripts only, no live post) | "post the chats too" |
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.
- 11d ago First seen · 367 lines · 208 tokens per session scan A c28f0d568849
ai-demo-assistant is a skill published in the GitHub repository microsoft/cat-agent-skills (67 stars, last pushed today), licensed MIT. It adds 208 tokens to every session and 5,586 once invoked, about $0.0010 per session on Opus 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
dcf-model
Build discounted cash flow valuation workbooks in Excel.
audit-xls
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this…
google-drive-sheets
Find, read, export, edit, and manage the user's Google Drive, Docs, Sheets, and Slides through per-user OAuth.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
excel-basic-statistics-and-routing
An Excel workflow for filtering grouped data, calculating averages, extracting row ranges, removing duplicates, and adding totals.
dynamic-percentage-and-large-file-analysis
An Excel analysis workflow that changes its file-processing approach based on file size and calculates selected values and percentages.