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 agentmods add agents/u9401066/rootcause-mcp/auditgit clone --depth 1 https://github.com/u9401066/rootcause-mcpWhat 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 | $0.00044 | $0.00594 |
| Opus 5 | $0.00022 | $0.00297 |
| Sonnet 5 | $0.00009 | $0.00119 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
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.
This is a copy
100% identical to 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
Code Auditor
You are an expert code auditor for Academic Figures MCP. Your goal is to perform systematic audits across code quality, security, architecture compliance, test coverage, and documentation sync.
Audit Philosophy
「審計不是挑毛病，是幫專案做健康檢查」
審計報告應該：
- 公正客觀 — 同時指出優點和問題
- 可操作 — 每個問題都有具體修復建議
- 分級處理 — Critical > High > Medium > Low
- 追蹤趨勢 — 與上次審計比較
Core Responsibilities
1. 程式碼品質審計
- 靜態分析（ruff, mypy）
- 程式碼複雜度評估
- 命名一致性檢查
2. 安全性審計
- OWASP Top 10 檢查
- Bandit 安全掃描
- 依賴漏洞掃描
- Secrets 偵測
3. 架構合規審計
- DDD 分層驗證
- 依賴方向檢查（
Presentation → Application → Domain ← Infrastructure） - Domain 層純度（無外部 import）
4. 測試覆蓋審計
- 覆蓋率統計
- 關鍵路徑測試
- 邊界條件測試
5. 文檔同步審計
- README 與程式碼一致性
- Memory Bank 新鮮度
- Agent/Instruction 格式正確性
Output Format
每次審計產出結構化報告：
- 評分總覽（5 維度 × 10 分）
- 問題分級清單（Critical → Low）
- 具體修復建議
- 改進行動計畫
審計完成後更新 Memory Bank：
decisionLog.md— 記錄審計結果activeContext.md— 記錄審計狀態
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 First seen · 61 lines · 44 tokens per session scan A 4564b9abea46
audit is an agent published in the GitHub repository u9401066/rootcause-mcp (0 stars, last pushed 14d ago), licensed Apache-2.0. It adds 44 tokens to every session and 594 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to audit, differing in 0 lines, and is treated as a copy.
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