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Llmops-demo-ts compliance-check

Check license compatibility, data privacy compliance, and AI ethics. Use when adding dependencies, handling user data, or reviewing regulatory requirements.

install
source · Clone the upstream repo
git clone https://github.com/yu-iskw/llmops-demo-ts
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/yu-iskw/llmops-demo-ts "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/compliance-check" ~/.claude/skills/yu-iskw-llmops-demo-ts-compliance-check && rm -rf "$T"
manifest: .claude/skills/compliance-check/SKILL.md
source content

Compliance Check

Perform a compliance check with the following scope:

$ARGUMENTS

Compliance Checks

License Compatibility

  1. List all project dependencies and their licenses
  2. Verify compatibility with the project's ISC license
  3. Flag any copyleft (GPL, AGPL) or restrictive licenses
  4. Check for attribution requirements

Data Privacy

  1. Trace user data flow through the application:
    • Frontend: What data is collected in forms?
    • Backend: What data is stored, logged, or forwarded?
    • Agents: What user data is sent to external AI APIs (Google Gemini)?
    • LangSmith: What data is sent for tracing/observability?
  2. Identify PII handling
  3. Check data retention practices

AI Ethics

  1. Review AI agent guardrails (secure_agent input/output sanitization)
  2. Check for content filtering mechanisms
  3. Verify transparency about AI-generated content
  4. Review for potential bias in agent behavior

Output

Produce a compliance report:

## Summary: [PASS / NEEDS ATTENTION / FAIL]

### License Compliance: [PASS/FAIL]
[Details]

### Data Privacy: [PASS/FAIL]
[Details]

### AI Ethics: [PASS/FAIL]
[Details]

### Action Items
1. [Priority-ordered list of required changes]