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 Asaiuta/reverse-workbench-skill --skill code-auditgit clone --depth 1 https://github.com/Asaiuta/reverse-workbench-skillWrote 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/asaiuta/reverse-workbench-skill/code-audit)<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/code-audit"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/code-audit/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/asaiuta/reverse-workbench-skill/code-audit"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/code-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00031 | $0.00676 |
| Opus 5.5 | $0.00012 | $0.00270 |
| Sonnet 5.5 | $0.00006 | $0.00135 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
code-audit 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 1mo 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.
This is a copy
100% identical to code-audit — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Source Code Security Audit
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？
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 82 lines · 31 tokens per session scan A 122dafd86828
code-audit is a skill published in the GitHub repository Asaiuta/reverse-workbench-skill (4 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 676 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to code-audit, differing in 0 lines, and is treated as a copy.
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