Borrowing it
Nothing to install: this file belongs to ershu-lab/ershu-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/ershu-lab/ershu-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/ershu-lab/ershu-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/ershu-lab/ershu-mcp/agents-md)<a href="https://agentmods.dev/instructions/ershu-lab/ershu-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ershu-lab/ershu-mcp/agents-md/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/instructions/ershu-lab/ershu-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ershu-lab/ershu-mcp/agents-md.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 | $0.00432 | $0.00432 |
| Opus 5 | $0.00216 | $0.00216 |
| Sonnet 5 | $0.00086 | $0.00086 |
| Haiku 4.5 | $0.00043 | $0.00043 |
Grade A, and why
ershu-mcp AGENTS.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 9d 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
Ershu MCP
本仓库发布 ershu-mcp，负责 MCP 协议、工具入口、传输安全和 MCP 输出整理。
- 只能依赖
ershu-core，不得依赖 API 或 Worker。 - MCP 请求处理、启动检查、DNS 防护和输出格式必须留在本仓库。
- 共享查询应直接使用 Core，不得绕经 API。
- 提交涉及公开工具或返回内容的改动时，必须说明受影响的调用方和需要重新分析的仓库。
- 本仓库测试必须能在没有 API、Worker 和部署仓库源码的情况下运行。
- Python 命令使用 UV；提交前执行格式检查、静态检查、构建和相关测试。
接管开发前
后续开发者和智能体不能假定自己能看到其他仓库。开始修改前，必须先连接正在运行的 Ershu MCP，并按下面的顺序了解全貌：
- 用
get_server_info核对运行中 MCP 的构建提交和关键导航能力。 - 用
list_projects和resolve_project确认项目，再用list_project_repositories核对组件、分支和对应提交。 - 用
get_project_overview、list_repository_documents和get_document阅读已有项目资料。 - 用
list_repository_tree和list_repository_code_index查看目标仓库的目录和代码索引。 - 只有在资料与索引不足以确认行为时，才用
read_code_context读取必要源码。
每一步都要检查返回的新鲜度、分支和提交是否对应当前目标。资料缺失、过期、工作区有未记录改动或提交不一致时，先明确报告，再更新目录、代码索引和知识关系；不得用本机恰好存在的兄弟目录猜测其他组件。MCP 读取和这些自动更新不得顺带触发 AI 文档重写。
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.
- 9d ago First seen · 23 lines · 432 tokens per session scan A ba939d1204d2
ershu-mcp AGENTS.md is an instructions file published in the GitHub repository ershu-lab/ershu-mcp (0 stars, last pushed 28d ago), licensed Apache-2.0. It adds 432 tokens to every session, about $0.0022 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.
Other instructions, from other repositories
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langchain AGENTS.md
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deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.