Borrowing it
Nothing to install: this file belongs to zbvxbb622-code/wechat-mcp-friend-automation. 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/zbvxbb622-code/wechat-mcp-friend-automation/main/AGENTS.mdgit clone --depth 1 https://github.com/zbvxbb622-code/wechat-mcp-friend-automationWrote 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/zbvxbb622-code/wechat-mcp-friend-automation/agents-md)<a href="https://agentmods.dev/instructions/zbvxbb622-code/wechat-mcp-friend-automation/agents-md"><img src="https://agentmods.dev/badge/instructions/zbvxbb622-code/wechat-mcp-friend-automation/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/zbvxbb622-code/wechat-mcp-friend-automation/agents-md"><img src="https://agentmods.dev/badge/instructions/zbvxbb622-code/wechat-mcp-friend-automation/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 | $0.00556 | $0.00556 |
| Opus 5.5 | $0.00222 | $0.00222 |
| Sonnet 5.5 | $0.00111 | $0.00111 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
wechat-mcp-friend-automation 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 2mo 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.
This is a copy
89% identical to WeChat-MCP AGENTS.md — 4 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.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Modules
- Core code lives in
src/wechat_mcp(MCP server, accessibility helpers, logging). - Entry point is
wechat_mcp.mcp_server:main, exposed as thewechat-mcpscript. - Logs are written under
logs/by default (configurable viaWECHAT_MCP_LOG_DIR). - Keep macOS Accessibility and WeChat-specific logic in
wechat_accessibility.py. - Excel contact extraction lives in
spreadsheet_contacts.py; keep workbook parsing separate from WeChat UI automation.
Build, Run & Development
- Install dependencies:
uv syncfrom the repository root. - Run the MCP server (stdio):
uv run wechat-mcp --transport stdio. - Run over HTTP/SSE:
uv run wechat-mcp --transport streamable-httpor--transport sse. - Enable protocol debugging:
uv run wechat-mcp --mcp-debug --transport stdio.
Coding Style & Naming
- Python 3.12+, PEP 8 style, 4-space indentation, type hints where practical.
- Use
snake_casefor functions/variables,PascalCasefor classes, and relative imports withinwechat_mcp. - Prefer structured logging via
logging_config.logger; avoidprintfor runtime behavior. - Keep functions small, with clear docstrings explaining interaction with macOS Accessibility APIs.
Testing Guidelines
- No formal automated test suite yet; new tests should use
pytestundertests/mirroringsrc/wechat_mcp. - Name test files
test_*.pyand test functionstest_*. - Run tests with
uv run pytest. - Avoid hitting real Accessibility APIs in unit tests; isolate them behind helper functions and use fakes where possible.
- Spreadsheet tests should use temporary workbooks and must not include real creator/contact data.
Commit & Pull Request Guidelines
- Follow Conventional Commit style seen in history (e.g.,
feat:,docs:,refactor(scope):). - Keep commits focused and descriptive; explain behavior changes, not just code moves.
- PRs should include: summary, motivation, how to reproduce/verify, and any macOS/WeChat version specifics.
- Attach relevant log snippets from
logs/wechat_mcp.logwhen debugging Accessibility issues.
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.
- 2mo ago First seen · 39 lines · 556 tokens per session scan A 236055ee9d9f
wechat-mcp-friend-automation AGENTS.md is an instructions file published in the GitHub repository zbvxbb622-code/wechat-mcp-friend-automation (0 stars, last pushed 3mo ago), licensed MIT. It adds 556 tokens to every session, about $0.0022 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to WeChat-MCP AGENTS.md, differing in 4 lines, and is treated as a copy.
wechat-mcp-friend-automation AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| wechat-mcp-friend-automation AGENTS.mdzbvxbb622-code/wechat-mcp-friend-automation | Instructions file | 0 | 3mo ago | MIT | A | 556 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |