regulation-monitor

regulation-monitor is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 181 tokens per session (3,847 once invoked), scanned A, original, MIT.

A controlled monitor for tracking changes to laws, regulations, and official guidance. It first helps choose trusted sources, then checks only the approved sources on later runs.

In plain words
What is it for?
Setting up recurring watches for regulatory topics, jurisdictions, and keywords, then checking what changed during a defined period.
Why use it?
It reduces the risk of relying on broad, unfiltered searches or missing which sources were used. The source list is confirmed before monitoring begins.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Setting up recurring watches for regulatory topics, jurisdictions, and keywords, then checking what changed during a defined period.

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Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/regulation-monitor
About the project

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.

microsoft/cat-agent-skills · 69 stars · on GitHub

Install

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.

Any agent
npx skills add microsoft/cat-agent-skills --skill regulation-monitor
Clone the repo
git clone --depth 1 https://github.com/microsoft/cat-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for regulation-monitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/regulation-monitor/github.svg)](https://agentmods.dev/skills/microsoft/cat-agent-skills/regulation-monitor)
Your own site
<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.

agentmods 80×15 button for regulation-monitor

Your own site · 80×15
<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>
Per session 181 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,847 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00181 $0.03847
Opus 5 $0.00090 $0.01924
Sonnet 5 $0.00036 $0.00769
Haiku 4.5 $0.00018 $0.00385

Measured 9d ago against content hash 8f065799eb51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/build_dashboard.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

submissions/regulation-monitor/SKILL.md · 336 lines

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:

  1. Run a small discovery pass to identify the top 5 authoritative sources per watch topic (regulators, official trackers, reputable trade press).
  2. Present the shortlist to the user and stop. No monitoring runs until the user has confirmed the list.
  3. The user can swap/remove any of the 5, lower the target, and supply their own seed sources on top.
  4. 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:

  1. Profile name — kebab-case slug, e.g. pillar-ii.
  2. Watch topics — 2 to 8 topics. For each: display name plus 3–8 keywords the sweeps should look for.
  3. Jurisdictions — countries, regions, states, sectors, or global.
  4. Cadence — daily, weekly (default), biweekly, monthly.
  5. Window — days to look back per run (default: matches cadence).
  6. 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):

Read the full file on GitHub · 336 lines

Files

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.

Changes

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.

  1. 9d ago First seen · 336 lines · 181 tokens per session scan A 8f065799eb51

Subscribe to this mod's changes

regulation-monitor is a skill published in the GitHub repository microsoft/cat-agent-skills (69 stars, last pushed today), licensed MIT. It adds 181 tokens to every session and 3,847 once invoked, about $0.0009 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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