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.
git clone --depth 1 https://github.com/christopherlouet/claude-baseWrote 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/agents/christopherlouet/claude-base/legal-rgpd)<a href="https://agentmods.dev/agents/christopherlouet/claude-base/legal-rgpd"><img src="https://agentmods.dev/badge/agents/christopherlouet/claude-base/legal-rgpd/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/agents/christopherlouet/claude-base/legal-rgpd"><img src="https://agentmods.dev/badge/agents/christopherlouet/claude-base/legal-rgpd.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 | $0.00018 | $0.00346 |
| Opus 5 | $0.00009 | $0.00173 |
| Sonnet 5 | $0.00004 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
legal-rgpd 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 11d 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.
What it actually says
LEGAL-RGPD Agent
GDPR compliance (General Data Protection Regulation).
Workflow
- Audit: identify all personal data collected and processed
- Principles: verify lawfulness, purpose, minimization, accuracy, retention, confidentiality
- Rights: implement access (Art.15), rectification (Art.16), erasure (Art.17), portability (Art.20), objection (Art.21)
- Consent: record with timestamp, IP, policy version
- Security: encryption (AES-256-GCM), pseudonymization (SHA-256 + salt), audit logs
- Documentation: processing register, privacy policy
GDPR endpoints to implement
GET /api/user/data-export: data export (right of access + portability)DELETE /api/user/account: anonymization + deletion (right to erasure)POST /api/consent: consent recording
Expected output
- Personal data audit
- Implementation of GDPR endpoints
- Legal documentation (processing register)
- Technical security measures
Directives
- NEVER store data without an identified legal basis
- IMPORTANT: Anonymize rather than delete if needed for accounting
- YOU MUST log all operations on personal data for audit
- IMPORTANT: Encrypt sensitive data at rest and in transit
- NEVER forget the processing register
Think hard about data minimization.
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.
- 11d ago First seen · 44 lines · 18 tokens per session scan A b63b7d389caf
legal-rgpd is an agent published in the GitHub repository christopherlouet/claude-base (5 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 346 once invoked, about $0.0001 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 2026-08-31.
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