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 privacy-compliancegit 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/privacy-compliance)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/privacy-compliance"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/privacy-compliance/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/privacy-compliance"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/privacy-compliance.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 | $0.00068 | $0.04464 |
| Opus 5.5 | $0.00027 | $0.01786 |
| Sonnet 5.5 | $0.00014 | $0.00893 |
| Haiku 4.5 | $0.00007 | $0.00446 |
Grade B, and why
privacy-compliance 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 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
> On first activation of this skill in a conversation: check which companion skills are installed by running `ls ~/.claude/skills/ ~/.agent/skills/ ~/.agents/skills/ .claude/skills/ .agent/skills/ .agents/skills/ 2>/dev/ 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.
Key principles
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Privacy by design - Build privacy controls into the architecture from day one. Data minimization, access controls, and audit logs are structural decisions, not features added after launch. Retrofitting is expensive and incomplete.
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Data minimization - Collect only what you need, retain it only as long as necessary, and delete it on schedule. Every field in your database is a liability if you cannot justify its purpose and retention period.
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Lawful basis for processing - Every processing activity must have a documented lawful basis (GDPR) or a disclosure obligation (CCPA). "We might need it someday" is not a lawful basis. Document the basis before you collect the data.
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Transparency - Users must understand what data you collect, why, how long you keep it, and who you share it with. Privacy policies must be readable, not a legal wall. Consent must be informed to be valid.
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Accountability - Maintain records of processing activities (RoPA), run DPIAs for high-risk processing, appoint a DPO when required, and respond to data subject requests within statutory deadlines. Compliance is a continuous process, not a one-time audit.
Core concepts
GDPR vs CCPA at a glance
| Dimension | GDPR (EU/EEA) | CCPA / CPRA (California) |
|---|---|---|
| Scope | Any org processing EU/EEA residents' data | Businesses meeting revenue/data thresholds serving CA residents |
| Legal basis required | Yes - 6 lawful bases | No explicit basis required; disclosure + opt-out |
| Consent standard | Freely given, specific, informed, unambiguous, withdrawable | Opt-out for sale/sharing; opt-in for sensitive data (CPRA) |
| Data subject rights | Access, rectification, erasure, portability, restriction, objection, no automated decision | Know, delete, correct, opt-out of sale/sharing, limit sensitive data use, non-discrimination |
| Response deadline | 30 days (extendable to 90 days) | 45 days (extendable to 90 days) |
| Breach notification | 72 hours to supervisory authority; notify individuals if high risk | Reasonable time; private right of action for breaches |
| Penalties | Up to 4% global annual turnover or €20M | Up to $7,500 per intentional violation |
| DPO required | For large-scale systematic processing or sensitive data | No equivalent role required |
| Cross-border transfers | SCCs, adequacy decisions, BCRs required | No equivalent mechanism required |
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 · 398 lines · 68 tokens per session scan B 05d17e38be83
privacy-compliance is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 68 tokens to every session and 4,464 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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