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 regulation-monitorgit 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/regulation-monitor)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/regulation-monitor"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/regulation-monitor/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/regulation-monitor"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/regulation-monitor.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 | $0.00181 | $0.03847 |
| Opus 5.5 | $0.00072 | $0.01539 |
| Sonnet 5.5 | $0.00036 | $0.00769 |
| Haiku 4.5 | $0.00018 | $0.00385 |
Grade A, and why
regulation-monitor 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 — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regulation Monitor
Source discipline
This skill is deliberately bounded and confirmed. It does not run open-ended web searches every run. Instead, at setup:
- Run a small discovery pass to identify the top 5 authoritative sources per watch topic (regulators, official trackers, reputable trade press).
- Present the shortlist to the user and stop. No monitoring runs until the user has confirmed the list.
- The user can swap/remove any of the 5, lower the target, and supply their own seed sources on top.
- The confirmed list is locked into the profile config.
Every subsequent run visits only those sources. A tightly-bounded fallback web search (at most one query per topic, capped result count, allowlist-filtered) is used only when a locked source is silent for a topic in the window.
Instructions
Step 0 — First-run setup (only if no config exists)
If config.json for the requested profile does not exist, walk the user
through setup:
- Profile name — kebab-case slug, e.g.
pillar-ii. - Watch topics — 2 to 8 topics. For each: display name plus 3–8 keywords the sweeps should look for.
- Jurisdictions — countries, regions, states, sectors, or
global. - Cadence — daily, weekly (default), biweekly, monthly.
- Window — days to look back per run (default: matches cadence).
- Delivery target — user's own email (default), a Teams chat, a Loop page, or "inline only".
Step 1 — Auto-discover authoritative sources, then STOP for confirmation
This is an interactive checkpoint. Run a small discovery pass to identify candidate sources, then present them and stop. Do not start the monitoring sweep (Step 5) until the user has explicitly confirmed the source list.
For each watch topic the user configured, propose up to 5 authoritative sources (default target 5; use fewer if the user asks or if the domain has fewer canonical sources).
Preference order (pick the strongest 5 that exist for the topic):
What ships with it
4 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 · 336 lines · 181 tokens per session scan A 8f065799eb51
regulation-monitor is a skill published in the GitHub repository microsoft/cat-agent-skills (93 stars, last pushed today), licensed MIT. It adds 181 tokens to every session and 3,847 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 2026-09-03.
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