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 ThomasMoreAI/legal-skills-open --skill regulatory-compliance-oimiragieogit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/regulatory-compliance-oimiragieo)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/regulatory-compliance-oimiragieo"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-compliance-oimiragieo/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/thomasmoreai/legal-skills-open/regulatory-compliance-oimiragieo"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-compliance-oimiragieo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00052 | $0.03115 |
| Opus 5 | $0.00026 | $0.01558 |
| Sonnet 5 | $0.00010 | $0.00623 |
| Haiku 4.5 | $0.00005 | $0.00312 |
Grade B, and why
regulatory-compliance-oimiragieo scanned grade B with 1 finding 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat .claude/context/memory/learnings.md How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regulatory Compliance Skill
Overview
Assess systems, processes, and artifacts against major regulatory frameworks:
- GDPR/CCPA — Data privacy compliance for EU and California/US state laws
- Privacy-by-Design — Proactive privacy embedding following Ann Cavoukian's 7 principles
- ADA/WCAG — Web and software accessibility under ADA and WCAG 2.1/2.2 AA standards
- DPA Validation — Data Processing Agreement completeness and correctness checks
- Regulatory Monitoring — Guidance on tracking regulatory changes across jurisdictions
Output is structured as PASS / CONDITIONAL / FAIL with severity-rated findings and actionable remediation tasks.
When to Use
- Before deploying any feature that collects, processes, or stores personal data
- During architecture review for systems touching PII or user data
- When validating third-party vendor agreements and DPAs
- Before launching products in EU, California, or any jurisdiction with active privacy law
- When auditing accessibility compliance for public-facing interfaces
- As part of CI compliance gates for data pipelines and APIs
Iron Laws
- NEVER report PASS on partial compliance — if any item fails, the result is CONDITIONAL or FAIL; partial compliance masks violations.
- ALWAYS include remediation tasks with specific owning agents — vague findings don't produce fixes; every FAIL/CONDITIONAL must specify who fixes it and how.
- NEVER skip multi-jurisdiction check — GDPR, CCPA, and 20+ US state laws may all apply; document scope clearly.
- ALWAYS verify privacy-by-design at design time — retrofitting privacy after deployment is significantly more costly and less effective.
- NEVER treat accessibility as optional — ADA/WCAG compliance carries active litigation risk (ADA lawsuits up 37% H1 2025); all public interfaces must be validated.
- ALWAYS document regulation version and date assessed — regulatory guidance evolves; stamp every report with the regulation version and assessment date.
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.
- 9d ago First seen · 299 lines · 52 tokens per session scan B f93ff99ce31b
regulatory-compliance-oimiragieo is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 3,115 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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