Source Code Security Audit
SkillSecurityUse for authorized source-code security review and SAST workflows including Semgrep, CodeQL patterns, dangerous API hunting, and fix verification.
Then ask your AI: use the Source Code Security Audit skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.
What this skill tells your AI
The instructions your AI receives, as published by skillmds/skillmd in plugins/code-security-review-pipeline/skills/code-audit/SKILL.md and read by Ahel’s review.
ACTION REQUIRED(读完后立刻执行)
NOW: 读取../field-journal/precedent-pentest.md或代码审计授权NOW: 确认有源码/仓库访问(无源码二进制 → 转 RE skill)NOW: 明确语言栈与范围(目录/服务/PR diff)NEXT: tool-index;semgrep 等ACT: 威胁建模草图 → 自动扫描 → 人工验证
适用场景
- 白盒审计、PR/差分安全审查
- Semgrep / CodeQL / Bandit / gosec 等 SAST
- 危险 API、注入点、鉴权缺失、加密误用
- 与
supply-chain-security/分工:本 skill 偏自有代码逻辑,供应链偏依赖与管道
工作流
1. 范围与威胁模型
□ 信任边界:用户输入、文件、反序列化、SSRF、鉴权中间件
□ 高价值资产:鉴权、支付、管理端、密钥处理
2. 自动扫描
semgrep --config auto .
# 或项目规则包
semgrep --config p/owasp-top-ten .
3. 人工验证(MUST)
□ 每个 SAST 命中:可达性?可利用性?误报?
□ 鉴权:IDOR/越权、缺校验、错误的多租户隔离
□ 注入:SQL/命令/模板/LDAP
□ 加密:硬编码密钥、ECB、自定义 crypto
4. 产出
Finding:位置 + 数据流 + PoC + 修复建议
可选 ATT&CK / CWE 编号
工具链
| 工具 | 语言/场景 |
|---|---|
| Semgrep | 多语言快速规则 |
| CodeQL | 深数据流(GitHub) |
| Bandit | Python |
| gosec / staticcheck | Go |
| SpotBugs / FindSecBugs | Java |
参考
references/sast-review-checklist.md../supply-chain-security/../api-security/../llm-security/(Agent 代码)
路由上下文
上游: MASTER R26
角色: ops/role-map.md cae
下游: 依赖漏洞 → supply-chain;运行时验证 → pentest-tools
任务完成自检
- 是否人工验证而非只贴扫描器输出?
- 是否含修复建议?
- 是否限定在授权仓库范围?
- Checklist?
Signals
- GitHub stars
- 1
- Forks
- 1
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
code-audit-skillmds- Source
- github.com/skillmds/skillmd
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