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Detect hardcoded credentials, API keys, tokens, and secrets in source code and configuration files. Use when reviewing code for leaked secrets before commit/merge, auditing a repository for credential exposure, or setting up secret detection.
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 secrets-scan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。
Security-focused review of native Android and iOS mobile app source code against OWASP MASVS v2.1.0. Use when reviewing mobile codebases, mobile PR diffs, or auditing a mobile module.
Audit AI agent configurations for security risks — excessive permissions, prompt injection surfaces, data exfiltration paths, and missing guardrails. Use when reviewing CLAUDE.md files, MCP configs, agent orchestration code, or any AI agent setup.
Assess agentic AI applications against the OWASP Top 10 for Agentic Applications 2026. Use when reviewing autonomous AI agents, multi-agent systems, or agentic workflows for security risks including goal hijacking, tool misuse, privilege abuse, and rogue agent behavior.
基于 SOC 职业分类
正在显示 SKILL.md
| name | secrets-scan |
| description | Detect hardcoded credentials, API keys, tokens, and secrets in source code and configuration files. Use when reviewing code for leaked secrets before commit/merge, auditing a repository for credential exposure, or setting up secret detection. |
| license | CC-BY-4.0 |
Detect hardcoded secrets by following the full procedure in plays/secrets-scan.md.
Run Automated Scanner — Use available tools in preference order:
trufflehog filesystem --directory=<path> --json (recommended)trufflehog git file://<repo> --json (includes git history)gitleaks detect --source=<path> --report-format=jsondetect-secrets scan <path> --all-filesManual Pattern Analysis — Search for high-confidence patterns:
AKIA...), OpenAI (sk-...), Anthropic (sk-ant-...), GitHub (ghp_...), Slack (xoxb-...), Stripe (sk_live_...), SendGrid (SG.)://user:pass@host).env, docker-compose*.yml, *.tfvars, terraform.tfstate, kubeconfig, .npmrc, .pypircContextual Analysis — For each detection: Is it real (not a placeholder/test fixture)? Is it active? What's the blast radius (service, permissions, prod vs dev, exposure duration)?
Check Preventive Controls — Verify: .gitignore covers sensitive files, pre-commit hooks for secret scanning, CI pipeline scanning, secrets management documentation.
Important: Never include actual secret values in findings. Show redacted versions only (e.g., AKIA****EXAMPLE). Active production secrets require immediate rotation.
Scan summary, findings using templates/finding.md, preventive controls checklist, and immediate rotation actions if needed.