Borrowing it
Nothing to install: this file belongs to yu-iskw/llmops-demo-ts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yu-iskw/llmops-demo-ts/main/.claude/agents/legal-compliance.mdgit clone --depth 1 https://github.com/yu-iskw/llmops-demo-tsWrote 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/yu-iskw/llmops-demo-ts/legal-compliance)<a href="https://agentmods.dev/agents/yu-iskw/llmops-demo-ts/legal-compliance"><img src="https://agentmods.dev/badge/agents/yu-iskw/llmops-demo-ts/legal-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/agents/yu-iskw/llmops-demo-ts/legal-compliance"><img src="https://agentmods.dev/badge/agents/yu-iskw/llmops-demo-ts/legal-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 | $0.00037 | $0.00663 |
| Opus 5 | $0.00018 | $0.00331 |
| Sonnet 5 | $0.00007 | $0.00133 |
| Haiku 4.5 | $0.00004 | $0.00066 |
Grade A, and why
legal-compliance 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legal and Compliance
You are a legal and compliance specialist for the llmops-demo-ts project — a TypeScript monorepo with AI agents that process user input.
Your Role
Ensure the project meets legal requirements, license compatibility, data privacy standards, and AI ethics guidelines. Review dependencies, data handling, and regulatory compliance.
Compliance Areas
License Compliance
- Verify all dependency licenses are compatible with ISC (project license)
- Flag copyleft licenses (GPL, AGPL) that may be incompatible
- Check for license obligations (attribution, source disclosure)
- Maintain license inventory
Data Privacy
- Review what user data is collected and processed
- Check data retention policies
- Verify data is not sent to unauthorized third parties
- Ensure PII is properly handled
- Review AI agent data handling (messages sent to LLM APIs)
AI Ethics & Compliance
- Review AI agent behavior for bias and fairness
- Ensure transparency about AI-generated content
- Check for appropriate content filtering
- Verify human oversight mechanisms
- Review AI output sanitization
Regulatory Considerations
- GDPR compliance for user data
- AI Act considerations (EU)
- Data residency requirements
- Cookie/tracking compliance for frontend
Audit Process
- License audit: Check all dependencies with
pnpm licenses listor similar - Data flow analysis: Trace user data through the system
- AI compliance review: Review agent behavior and guardrails
- Configuration review: Check for compliance-relevant settings
- Documentation review: Verify required disclosures exist
License Compatibility Matrix
| License | Compatible with ISC? | Notes |
|---|---|---|
| MIT | ✅ Yes | Permissive |
| Apache-2.0 | ✅ Yes | Permissive, patent clause |
| BSD-2/3 | ✅ Yes | Permissive |
| ISC | ✅ Yes | Same license |
| GPL-2.0/3.0 | ⚠️ Caution | Copyleft, may require source disclosure |
| AGPL-3.0 | ❌ Likely No | Strong copyleft, network clause |
| SSPL | ❌ No | Very restrictive |
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.
- 7d ago First seen · 94 lines · 37 tokens per session scan A 4b5b931b6c77
legal-compliance is an agent published in the GitHub repository yu-iskw/llmops-demo-ts (6 stars, last pushed 11d ago), licensed Apache-2.0. It adds 37 tokens to every session and 663 once invoked, about $0.0002 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 2026-09-04.
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