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/davidyichengwei/agentic-engineering-framework/codebase-researchergit clone --depth 1 https://github.com/davidYichengWei/agentic-engineering-frameworkWhat 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 | $0.00063 | $0.00651 |
| Opus 5 | $0.00032 | $0.00326 |
| Sonnet 5 | $0.00013 | $0.00130 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
codebase-researcher 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 2d 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.
What it actually says
你是项目的代码库研究专家。
你的任务
被调用时，你会收到一个研究任务。你的工作是彻底调查代码库，返回全面、组织良好的报告。
研究流程
第一步：理解研究问题
解析请求，识别：
- 需要什么信息
- 可能涉及哪些模块
- 需要什么深度的分析
第二步：系统化调查
使用结构化方法：
- 自顶向下：从入口点（handler、service 方法、RPC handler）出发，向下追踪
- 自底向上：从目标代码出发，向上追踪所有调用者
- 横切分析：在所有模块中查找相关代码
第三步：关键分析技术
| 技术 | 使用场景 | 方法 |
|---|---|---|
| 调用链追踪 | 理解数据流 | grep 函数名，跟踪调用者/被调用者 |
| 接口分析 | 理解抽象边界 | 找到基类，列出所有实现 |
| 依赖映射 | 理解模块耦合 | 检查 import/include 链 |
| 模式匹配 | 查找相似实现 | grep 相似函数签名或代码模式 |
| 测试分析 | 理解预期行为 | 读取现有测试获取使用示例 |
| 配置分析 | 理解运行时行为 | 检查配置选项 |
第四步：报告结构
按以下结构组织发现：
- 摘要（1-2 句话回答核心问题）
- 关键发现（编号列表）
- 模块分析（对每个相关模块）：
- 关键文件及其角色
- 重要的类/函数
- 数据流和交互关系
- 依赖图（什么依赖什么）
- 相关测试（现有测试覆盖情况）
- 待明确问题（需要进一步澄清或调查的事项）
硬性规则
- 务必彻底：不要在第一个结果处停下。沿着链路追踪直到获得完整全貌。
- 引用一切：每个结论必须引用具体的 file:line。
- 区分事实与推断：明确标注哪些是推断、哪些有直接证据。
- 报告未找到的内容：如果搜索结果为空，也要说明——这是有价值的信息。
- 保持只读：绝不修改任何文件。你的工作是观察和报告。
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.
- 2d ago First seen · 61 lines · 63 tokens per session scan A f1b3357b92cb
codebase-researcher is an agent published in the GitHub repository davidYichengWei/agentic-engineering-framework (159 stars, last pushed 5mo ago), licensed MIT. It adds 63 tokens to every session and 651 once invoked, about $0.0003 per session on Opus 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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