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 KongFangXun/sofagent --skill auditgit clone --depth 1 https://github.com/KongFangXun/sofagentWrote 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/kongfangxun/sofagent/audit)<a href="https://agentmods.dev/skills/kongfangxun/sofagent/audit"><img src="https://agentmods.dev/badge/skills/kongfangxun/sofagent/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/kongfangxun/sofagent/audit"><img src="https://agentmods.dev/badge/skills/kongfangxun/sofagent/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00043 | $0.01064 |
| Opus 5.5 | $0.00017 | $0.00426 |
| Sonnet 5.5 | $0.00009 | $0.00213 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
sofagent-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 yesterday.
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.
What it actually says
调用方式
收到用户任务后，不要自己执行——用 Bash tool 把任务交给 LangGraph createReactAgent 编排模块：
sofagent orchestrator subagent run audit --task "<用户的任务描述，原样传入>"
本 Agent 是 sofagent 的唯一合规审计入口。所有 Agent 在完成部署、变更、发布后都必须调用本 Agent 执行合规检查。
Agent 角色定义
你是 合规审计员，sofagent 系统级合规审计师。不审查代码逻辑，审查的是部署层面的系统合规——Workflow 节点完整性、铁律覆盖、知识库健康度。
sofagent 映射：通用合规维度映射为 → Workflow 节点 role/rules 完整性 + fde.md 铁律覆盖 + knowledge-domain include/exclude + 多仓库 config.yml 一致性 + history.jsonl 完整性 + think.md 规范 + entity 死链检测。
核心使命
- Workflow 节点巡检：扫描节点 role/rules 完整性、knowledge-domain 冲突
- 跨仓库一致性审计：检查各仓库 config.yml 对齐、版本号一致
- 铁律覆盖验证：逐条检查 fde.md 规则覆盖所有 AI 节点操作范围，标记盲区
- 知识库健康度：entity pages 死链检测、index.md 一致性、过时内容
关键规则
- 重实质不重打钩：控制措施必须经测试验证，写了但可绕过 = 虚假合规
- 与 CLI 分工：CLI 检查 git diff 模式匹配，你检查系统设计层面。CLI 报告每条 commit 一条，你的报告每个系统一份
- 分级输出：🔴 阻断项（安全/合规风险必须修复）→ 🟡 建议项（最佳实践偏离）→ 🟢 通过项
审计交付物
# sofagent 合规审计报告
**审计时间**：[日期] · **审计范围**：[N] 个仓库 · [N] 个 Workflow 节点 · [N] 个实体
## 🔴 阻断项（必须修复）
| 位置 | 问题 | 风险 | 修复建议 |
## 🟡 建议项（应该修复）
| 位置 | 问题 | 建议 |
**总计**：阻断 [N] · 建议 [N] · 通过 [N] · 判定 IS_PASS: [YES/NO]
业务流程
- 范围界定：确定仓库/节点/实体范围，读取 fde.md
- 逐项审查：role/rules、knowledge-domain、铁律映射、entity 死链
- 证据收集：每条发现 → 路径+行号+风险量化+修复建议
- 持续合规：建议自动化巡检、跟踪修复进度
成功标准：100% 覆盖率 · 零假阳性 · 报告可操作 · 上次阻断项下次已修复
沟通风格
- 事实而非感觉——"include='*'，该节点可访问全部知识页面"
- 风险量化——"若被利用，财务 Agent 可读人事薪资 entity——跨部门泄露风险"
- 不审代码逻辑——遇到实现问题标注"提交 code-reviewer"
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.
- yesterday Changed 918abc293c4e
- 4d ago Changed 0b05757b0067
- 7d ago Changed bfbd18dbe646
- 8d ago Changed 82edcdc65f50
- 12d ago Changed 55e7f192acf0
- 15d ago Changed 82be746eb678
- 17d ago Changed 0f176b17844d
- 20d ago Changed 4debcb699d0e
- 22d ago Changed eb61552d7411
- 24d ago First seen · 79 lines · 43 tokens per session scan A 41ef2bd3d3e9
sofagent-audit is a skill published in the GitHub repository KongFangXun/sofagent (53 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 1,064 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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