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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Applies the AI SAFE2 framework to security reviews, code reviews and compliance mapping for AI agents, RAG pipelines and MCP servers. | CyberStrategyInstitute/ | 147 | — | ~1.2k | Automated safety check: Pass | Unknown | yesterday |
| 2 | 按中国法规(网安法 / PIPL / 等保2.0 / 数据出境 / AI生成内容标识)审计一个 AI 项目的代码仓库,产出每条都带 文件:行 取证、经独立复核、经脚本校验的合规报告。当用户问「这个项目上线合不合规」「调用了 OpenAI/Claude 算不算数据出境」「要不要做 AI 标识」「帮我做合规自查/等保/PIPL 检查」时使用。Audit an AI project's… | jnMetaCode/ | 140 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 3 | 3.Sail Apply the SAIL (Secure AI Lifecycle) V2 framework by Pillar Security to secure AI applications and agents. | pillar-labs/ | 113 | — | ~5.1k | Automated safety check: Pass | Unknown | 3 mo ago |
| 4 | Guide for writing eval conversation JSONs and running them through policy engines | open-bias/ | 143 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | 4 days ago |
| 5 | Plans and runs material repository changes with the AI SAFE2 method: classify delivery shape and risk, isolate the work, collect test evidence and finish with a completion receipt. | CyberStrategyInstitute/ | 147 | — | ~833 | Automated safety check: Pass | Unknown | yesterday |
| 6 | Applies the AI SAFE2 v3.1 governance framework to designing, building, auditing and testing AI agents, RAG pipelines, MCP and tool integrations and AI infrastructure. | CyberStrategyInstitute/ | 147 | — | ~2.7k | Automated safety check: Pass | Unknown | yesterday |
| 7 | AI governance, EU AI Act compliance, OWASP LLM security, responsible AI practices for GitHub Copilot agents | Hack23/ | 239 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 8 | Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. | alirezarezvani/ | 28k | — | ~2k | Automated safety check: Pass | MIT | 1 mo ago |
| 9 | Runs NVIDIA garak probe suites (jailbreak, prompt injection, data leakage, toxicity, and more) against an LLM endpoint - Hugging Face models, OpenAI-compatible APIs, or Bedrock - then interprets the… | mukul975/ | 34k | — | ~2.9k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 10 | AI compliance and policy engine — evaluate scan results against OWASP, NIST, SOC 2, ISO 27001, CMMC, EU AI Act, AISVS v1.0, and related frameworks. | LeoYeAI/ | 2.2k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 11 | Assess AI-system risk from architecture, intended use, affected actors, model limitations, data lineage, autonomy, human oversight, monitoring, and failure consequences. | cyberful/ | 135 | — | ~566 | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |