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/skills/compliance-check/SKILL.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/skills/yu-iskw/llmops-demo-ts/compliance-check)<a href="https://agentmods.dev/skills/yu-iskw/llmops-demo-ts/compliance-check"><img src="https://agentmods.dev/badge/skills/yu-iskw/llmops-demo-ts/compliance-check/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/yu-iskw/llmops-demo-ts/compliance-check"><img src="https://agentmods.dev/badge/skills/yu-iskw/llmops-demo-ts/compliance-check.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 | $0.00030 | $0.00347 |
| Opus 5 | $0.00015 | $0.00173 |
| Sonnet 5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
compliance-check 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 6d 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
Compliance Check
Perform a compliance check with the following scope:
$ARGUMENTS
Compliance Checks
License Compatibility
- List all project dependencies and their licenses
- Verify compatibility with the project's ISC license
- Flag any copyleft (GPL, AGPL) or restrictive licenses
- Check for attribution requirements
Data Privacy
- 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?
- Identify PII handling
- Check data retention practices
AI Ethics
- Review AI agent guardrails (secure_agent input/output sanitization)
- Check for content filtering mechanisms
- Verify transparency about AI-generated content
- 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]
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.
- 6d ago First seen · 60 lines · 30 tokens per session scan A 3268b1759751
compliance-check is a skill published in the GitHub repository yu-iskw/llmops-demo-ts (6 stars, last pushed 10d ago), licensed Apache-2.0. It adds 30 tokens to every session and 347 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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