regulatory-review

regulatory-review is a skill for Claude Code from zircote-plugins/sigint. It costs 68 tokens per session (3,969 once invoked), scanned A, original, MIT.

A guide for examining the laws, regulations, and compliance duties that affect a market or product. It covers industry rules, privacy, consumer protection, enforcement penalties, risk, and cross-border requirements.

In plain words
What is it for?
Use it to review regulatory landscapes, compliance requirements, legal considerations, regulatory trends, and risks across jurisdictions.
Why use it?
It turns a broad legal and compliance question into a structured review of applicable rules and risks. It helps identify obligations and possible consequences before decisions are made.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the sigint plugin — 16 skills, 9 commands, 6 agents, 1 hook shipped together

Good fit Use it to review regulatory landscapes, compliance requirements, legal considerations, regulatory trends, and risks across jurisdictions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zircote-plugins/sigint/regulatory-review
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 zircote-plugins/sigint --skill regulatory-review
Clone the repo
git clone --depth 1 https://github.com/zircote-plugins/sigint

Made for: Claude Code.

Or install sigint, the plugin that ships this one along with the rest of its 16 skills, 9 commands, 6 agents, 1 hook.

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 regulatory-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/zircote-plugins/sigint/regulatory-review/github.svg)](https://agentmods.dev/skills/zircote-plugins/sigint/regulatory-review)
Your own site
<a href="https://agentmods.dev/skills/zircote-plugins/sigint/regulatory-review"><img src="https://agentmods.dev/badge/skills/zircote-plugins/sigint/regulatory-review/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 regulatory-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/zircote-plugins/sigint/regulatory-review"><img src="https://agentmods.dev/badge/skills/zircote-plugins/sigint/regulatory-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,969 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high System Prompt Leakage · line 256
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 $0.00068 $0.03969
Opus 5 $0.00034 $0.01985
Sonnet 5 $0.00014 $0.00794
Haiku 4.5 $0.00007 $0.00397

Measured 9d ago against content hash 19bf6d36799b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

regulatory-review 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.

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.

skills/regulatory-review/SKILL.md · 398 lines

How it starts

The opening of the file, as written. The whole thing — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Regulatory Review

Overview

Regulatory review assesses the legal and compliance landscape affecting markets and products. This skill covers frameworks for understanding regulatory requirements, risks, and trends.

Required Frameworks

Framework Output Section Required Condition
Framework Identification Applicable Frameworks yes
Industry-to-Framework Mapping Regulatory Mapping yes
Penalty Ranges Enforcement & Penalties yes
Risk Matrix Risk Assessment yes
Cross-border Mechanisms Cross-border Analysis conditional Multi-jurisdiction scope in elicitation

Trend Indicators: Load and apply the trend indicator definitions from protocols/TREND-INDICATORS.md.

Regulatory Dimensions

Direct Regulations

  • Industry-specific rules (fintech, healthcare, etc.)
  • Product safety requirements
  • Licensing and certification
  • Operational standards

Data & Privacy

  • Data protection laws (GDPR, CCPA, etc.)
  • Cross-border data transfer
  • Consent requirements
  • Breach notification

Consumer Protection

  • Advertising standards
  • Fair trading practices
  • Warranty requirements
  • Dispute resolution

Competition/Antitrust

  • Market dominance rules
  • M&A restrictions
  • Pricing practices
  • Distribution agreements

Major Regulatory Frameworks

Data Privacy

Framework Jurisdiction Key Requirements
GDPR EU Consent, data rights, DPO, breach notification
CCPA/CPRA California Disclosure, opt-out, deletion rights
LGPD Brazil Similar to GDPR, local DPO
PIPL China Consent, localization, cross-border rules

Financial Services

Framework Jurisdiction Scope
Dodd-Frank US Banking, consumer protection
PSD2 EU Payment services, open banking
MiCA EU Crypto assets
SOX US Public company reporting

Read the full file on GitHub · 398 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 · 398 lines · 68 tokens per session scan A 19bf6d36799b

Subscribe to this mod's changes

regulatory-review is a skill published in the GitHub repository zircote-plugins/sigint (20 stars, last pushed 22d ago), licensed MIT. It adds 68 tokens to every session and 3,969 once invoked, about $0.0003 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.

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