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 pattern-radargit 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/pattern-radar)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/pattern-radar"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/pattern-radar.svg" alt="Measured on agentmods" 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 | $0.00092 | $0.01264 |
| Opus 5 | $0.00046 | $0.00632 |
| Sonnet 5 | $0.00018 | $0.00253 |
| Haiku 4.5 | $0.00009 | $0.00126 |
Grade A, and why
pattern-radar 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 4d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pattern Radar
Find recurring patterns in the user's recent work signals that could be turned into leverage — a blog post (the user keeps explaining the same thing) or an automation (the user keeps doing the same manual, multi-step task). Give blog and automation candidates equal weight; bias toward automation candidates, since offloading repetitive work is usually the bigger win.
Default lookback window: the last 7 days from the current date/time. Treat the provided current datetime as authoritative — never reason from training-data dates.
Tool names. This skill refers to Microsoft 365 tools as
m365_*. If your host exposes them under different names, map them to the equivalent capability.
Inputs — collect breadth, not depth
- Email — list Inbox and Sent from the last 7 days (subjects + first-line previews only; do not open bodies). Pay special attention to Sent items: they reveal the user's own repeated outbound actions (forwards, intros, status pings, FYIs, "looping in X" handoffs, RSVPs, reschedules).
- Active chats — list recent chats; for each chat the user has posted in over the last ~30 days, fetch the last 7 days of messages. Strip @-mention noise.
- Active channels — for channels the user has posted in over the last ~30 days, fetch the last 7 days of messages. Skip silent channels.
- Calendar — list events from the last 7 days (subjects only — no bodies, no attendee lists). Look for repeated reschedules, repeated tentative responses, recurring conflict patterns, and meeting-prep cadences.
Clustering — what counts as a pattern
A signal qualifies only if it appears ≥3 times across ≥2 distinct people / chats / customers / threads / events in the window. Be ruthless — one-offs are noise.
Blog cluster types
- Repeated explanation — the user answers the same question or explains the same concept to 3+ different people. → blog candidate.
- Recurring FAQ — the same question shows up in 3+ chats/channels from different askers. → blog / FAQ candidate.
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.
- 4d ago First seen · 111 lines · 92 tokens per session scan A 7cf94614efff
pattern-radar is a skill published in the GitHub repository microsoft/cat-agent-skills (64 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 1,264 once invoked, about $0.0005 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 2026-09-03.
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