Borrowing it
Nothing to install: this file belongs to slb-cn/cyberquant-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/slb-cn/cyberquant-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/slb-cn/cyberquant-mcpWrote 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/instructions/slb-cn/cyberquant-mcp/claude-md)<a href="https://agentmods.dev/instructions/slb-cn/cyberquant-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/slb-cn/cyberquant-mcp/claude-md.svg" alt="Measured on agentmods" 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 | $0.00543 | $0.00543 |
| Opus 5 | $0.00271 | $0.00271 |
| Sonnet 5 | $0.00109 | $0.00109 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
cyberquant-mcp CLAUDE.md 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 5d 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
CLAUDE.md
项目定位
cyberquant-mcp 是数据共享平台的 MCP Server,作为 API Gateway 的客户端,通过 stdio 向 AI 模型暴露数据访问能力。
架构:AI 客户端 → MCP Server (本项目) → API Gateway
技术栈
TypeScript (ESM) + Node.js >= 20 + @modelcontextprotocol/sdk + zod + tsup + pnpm
常用命令
pnpm install # 安装依赖
pnpm build # tsup 构建 → dist/
pnpm dev # tsx 开发运行
关键约束
- 日志只能写 stderr — stdout 用于 MCP stdio 通信,绝对不能污染
- 所有 API 请求必须带
X-Client-Type: mcpheader - pageSize 上限 1000 — 超过时不发请求,直接返回警告提示
- CSV 格式返回数据 — 表头取首条数据字段名,节省 token
- 不自动翻页 — hasMore 时用自然语言引导 AI 缩小查询范围,不暴露 cursor
- 自然语言引导 — 所有返回(数据、错误、警告)均附带清晰提示
- 无第三方 HTTP 库 — 使用 Node 20+ 原生 fetch
- 重试:仅 429/503,最多 3 次,尊重 Retry-After,指数退避上限 10s
- 与 cyberquant-cli 共用配置 —
~/.cyberquant/config.json,MCP 从mcp字段读取专有配置
仓库结构
src/
├── index.ts # stdio 入口
├── server.ts # MCP 服务器(注册 Tools + Resources)
├── tools/query.ts # query_data — CSV 数据查询
├── tools/list.ts # list_routes — 路由列表
├── tools/clear-routes-cache.ts # clear_routes_cache — 清除路由元数据缓存
├── resources/ # user-profile / routes
├── lib/api-client.ts # API Gateway HTTP 客户端(含重试+超时)
├── lib/config.ts # 配置管理
├── lib/errors.ts # 错误类型
└── types/index.ts # 类型定义
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.
- 5d ago First seen · 48 lines · 543 tokens per session scan A c045b9ea599c
cyberquant-mcp CLAUDE.md is an instructions file published in the GitHub repository slb-cn/cyberquant-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 543 tokens to every session, about $0.0027 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 2026-08-31.
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