菜单
Comprehensive AI security verification using OWASP AI Security Verification Standard (AISVS) framework. Provides structured checklist to verify security and ethical considerations across 13 categories of AI-driven applications, from training data governance to human oversight.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/OWASP/secure-agent-playbook --skill ai-security-verification命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | ai-security-verification |
| description | Comprehensive AI security verification using OWASP AI Security Verification Standard (AISVS) framework. Provides structured checklist to verify security and ethical considerations across 13 categories of AI-driven applications, from training data governance to human oversight. |
| allowed-tools | Read, Grep, Glob, Bash, WebFetch, Agent |
Conduct comprehensive security verification of AI-driven applications using the OWASP AI Security Verification Standard (AISVS) framework's 13-category structured checklist.
Training Data Governance & Bias Management — Assess data quality, provenance, bias detection, and governance controls throughout the data lifecycle.
User Input Validation — Evaluate input sanitization, prompt injection defenses, adversarial input detection, and boundary validation mechanisms.
Model Lifecycle Management & Change Control — Review model versioning, deployment controls, rollback capabilities, and change management processes.
Infrastructure, Configuration & Deployment Security — Examine deployment security, container hardening, network controls, and infrastructure configuration.
Access Control & Identity — Verify authentication mechanisms, authorization controls, privilege management, and identity governance.
Supply Chain Security for Models, Frameworks & Data — Assess third-party model security, dependency management, and supply chain integrity.
Model Behavior, Output Control & Safety Assurance — Evaluate output validation, safety guardrails, behavior monitoring, and harmful content prevention.
Memory, Embeddings & Vector Database Security — Review vector database security, embedding protection, memory isolation, and context management.
Autonomous Orchestration & Agentic Action Security — Assess agent coordination security, tool access controls, and autonomous decision-making safeguards.
Adversarial Robustness & Attack Resistance — Test resilience against adversarial examples, evasion attacks, and model extraction attempts.
Privacy Protection & Personal Data Management — Verify privacy controls, data minimization, consent management, and regulatory compliance.
Monitoring, Logging & Anomaly Detection — Evaluate security monitoring, audit logging, anomaly detection, and incident response capabilities.
Human Oversight and Trust — Assess human-in-the-loop controls, explainability mechanisms, and trust calibration measures.
Use the finding format from templates/finding.md. Produce:
