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 OneWave-AI/claude-skills --skill compliance-checkergit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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/onewave-ai/claude-skills/compliance-checker)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/compliance-checker"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/compliance-checker/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/onewave-ai/claude-skills/compliance-checker"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/compliance-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.01085 |
| Opus 5 | $0.00039 | $0.00543 |
| Sonnet 5 | $0.00015 | $0.00217 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
compliance-checker 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 12d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compliance Checker
Perform thorough regulatory compliance audits against one or more frameworks, identify gaps, and produce actionable remediation guidance with evidence requirements suitable for certification preparation.
Contents
references/frameworks.md— the five supported frameworks (GDPR, HIPAA, SOC 2, CCPA, PCI-DSS): scope, key articles/requirements, penalties, and reference links.references/scan-patterns.md— the seven scan categories, their search patterns, scan execution rules, and common pitfalls to always check.references/classification.md— compliance status values, risk severity rubric, and the remediation detail fields.references/cross-framework-mapping.md— control-area-to-framework mapping and the glossary.references/output-template.md— the fullcompliance-report.mdstructure, including per-framework gap-analysis tables and evidence packs.
Workflow
Run the full methodology for every audit. Do not skip steps.
Phase 1: Discovery and Scoping
- Identify the target: codebase, infrastructure configuration, business process documentation, or a combination.
- Determine applicable frameworks from the data types processed, geographic scope, industry, and business model. See
references/frameworks.md. When none are specified, assess all five and note applicability. - Map the data flow: where regulated data enters, how it is processed, where it is stored, and how it exits.
- Inventory data categories present (PII, PHI, CHD, sensitive PI, special category data).
Phase 2: Scanning and Evidence Collection
- Scan each of the seven categories — PII/sensitive data, data retention, encryption, access controls, audit logging, consent management, and data transfer. Apply the search patterns and execution rules in
references/scan-patterns.md. Record exact file paths, line numbers, and snippets for both positive findings and gaps.
Phase 3: Gap Analysis
- Map each finding to specific framework requirements, assign a compliance status, and assign a risk severity to every non-compliant or partial finding. Use the rubric in
references/classification.md.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 59 lines · 77 tokens per session scan A 0269f3247d30
compliance-checker is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 1,085 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
juristischer-argumentationskern
Schaltet sich ein, wenn in Agb Recht Prüfer ein juristisches Arbeitsprodukt tragfähig begründet werden muss; verbindet konkrete Aktenfundstellen mit Tatbestandsmerkmal, Beweislast, stärkster Gegenposition und Rechtsfolge.
begriff-vorformuliert-digitalen-produkten-iso
Für AGB Begriff Vorformuliert 305: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: begriff-vorformuliert-digitalen-produkten-iso.
aenderungsvorbehalt-308
Für Änderungsvorbehalt 308: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
agb-begriff-vorformuliert-305
Für AGB Begriff Vorformuliert 305: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: agb-begriff-vorformuliert-305.
battle-forms-bau-vob-beweislast-zugang
Für Battle of Forms AGB Kollision: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Beweislast- und Substantiierungsmatrix.
battle-of-forms-agb-kollision
Für Battle of Forms AGB Kollision: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.