OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill compliancegit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-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/leoyeai/openclaw-master-skills/compliance)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/compliance"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/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/skills/leoyeai/openclaw-master-skills/compliance"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/compliance.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 | $0.00102 | $0.02033 |
| Opus 5.5 | $0.00041 | $0.00813 |
| Sonnet 5.5 | $0.00020 | $0.00407 |
| Haiku 4.5 | $0.00010 | $0.00203 |
Grade A, and why
agent-bom-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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-bom-compliance — 92% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-bom-compliance — AI Compliance & Policy Engine
Evaluate AI infrastructure scan results against 14 security and regulatory frameworks. Enforce policy-as-code rules. Generate SBOMs in standard formats. Run AISVS v1.0 and CIS benchmark checks.
Install
pipx install agent-bom
agent-bom agents -f compliance-export # run agents scan with compliance export
agent-bom generate-sbom # generate CycloneDX SBOM
When to Use
- "compliance report" / "run compliance"
- "NIST" / "NIST AI RMF" / "NIST CSF" / "NIST 800-53"
- "SOC 2" / "SOC2"
- "ISO 27001"
- "OWASP" / "OWASP LLM Top 10" / "OWASP Agentic Top 10"
- "EU AI Act"
- "AISVS" / "AI Security Verification Standard"
- "CMMC" / "FedRAMP"
- "generate SBOM" / "CycloneDX" / "SPDX"
- "policy check" / "policy enforcement"
Tools (5)
| Tool | Description |
|---|---|
compliance |
OWASP LLM/Agentic Top 10, EU AI Act, MITRE ATLAS, NIST AI RMF |
policy_check |
Evaluate results against custom security policy (17 conditions) |
cis_benchmark |
Run CIS benchmark checks against cloud accounts |
generate_sbom |
Generate SBOM (CycloneDX or SPDX format) |
aisvs_benchmark |
OWASP AISVS v1.0 compliance — 9 AI security checks |
Supported Frameworks (14)
- OWASP LLM Top 10 (2025) — prompt injection, supply chain, data leakage
- OWASP MCP Top 10 — MCP-specific security risks
- OWASP Agentic Top 10 — tool poisoning, rug pulls, credential theft
- OWASP AISVS v1.0 — AI Security Verification Standard (9 checks)
- MITRE ATLAS — adversarial ML threat framework
- NIST AI RMF — govern, map, measure, manage lifecycle
- NIST CSF 2.0 — identify, protect, detect, respond, recover
- NIST 800-53 Rev 5 — federal security controls (CM-8, RA-5, SI-2, SR-3)
- FedRAMP Moderate — derived from NIST 800-53 controls
- EU AI Act — risk classification, transparency, SBOM requirements
- ISO 27001:2022 — information security controls (Annex A)
- SOC 2 — Trust Services Criteria
- CIS Controls v8 — implementation groups IG1/IG2/IG3
- CMMC 2.0 — cybersecurity maturity model (Level 1-3)
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.
- 2mo ago First seen · 193 lines · 102 tokens per session scan A bb5f23dbb9b7
agent-bom-compliance is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,168 stars, last pushed 3d ago), licensed MIT. It adds 102 tokens to every session and 2,033 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.
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