Borrowing it
Nothing to install: this file belongs to botwith/xiaozhi-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/botwith/xiaozhi-mcp/dev/AGENTS.mdgit clone --depth 1 https://github.com/botwith/xiaozhi-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/botwith/xiaozhi-mcp/agents-md)<a href="https://agentmods.dev/instructions/botwith/xiaozhi-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/botwith/xiaozhi-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/botwith/xiaozhi-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/botwith/xiaozhi-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 | $0.01305 | $0.01305 |
| Opus 5.5 | $0.00522 | $0.00522 |
| Sonnet 5.5 | $0.00261 | $0.00261 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade A, and why
xiaozhi-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 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.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Guide for Agentic Coding
This document contains essential information for AI agents working on this repository.
Project Overview
xiaozhi-mcp is a Python-based MCP (Model Context Protocol) project that provides tool servers for AI capabilities including calculations, email, stock queries, todo management, and more. The project uses FastMCP to create stdio-based MCP servers.
Build/Install/Test Commands
Installation
# Recommended: Use uv for dependency management
uv sync
# Alternative: Use pip
pip install -r requirements.txt
Running the Application
# Run all configured servers from mcp_config.yaml
uv run python src/app.py
# Run a single server script
uv run python src/app.py src/mcp/tools/calculator.py
# Run with Docker
docker build -f docker/Dockerfile -t xiaozhi-mcp .
docker run -d --name xiaozhi-mcp -v $(pwd)/mcp_config.yaml:/app/mcp_config.yaml:ro xiaozhi-mcp
Testing
# No test framework is currently configured
# If pytest is added: pytest tests/; pytest tests/test_file.py::test_func
Linting/Type Checking
# No commands configured in pyproject.toml
# Common tools: ruff check ., ruff format ., mypy src/
Code Style Guidelines
File Structure
- Main application:
src/app.py - MCP tools:
src/mcp/tools/*.py - Each tool is a standalone FastMCP server with
@mcp.tool()decorated functions - Configuration:
mcp_config.yaml(YAML format)
Imports
# Standard import order:
from fastmcp import FastMCP
import sys
import logging
# Third-party imports
import yaml
import json
from datetime import datetime
from typing import Optional, Dict, List, Any
# Local imports (if any)
from pathlib import Path
import uuid
Module Layout
# 1. File docstring (optional)
# 2. Imports
# 3. Windows UTF-8 encoding fix
if sys.platform == 'win32':
sys.stderr.reconfigure(encoding='utf-8')
sys.stdout.reconfigure(encoding='utf-8')
# 4. Logger setup
logger = logging.getLogger('ServerName')
# 5. Create MCP server
mcp = FastMCP("ServerName")
# 6. Constants (UPPER_CASE)
CONSTANT_NAME = "value"
# 7. Helper functions
# 8. Tool functions (@mcp.tool())
# 9. Main entry point
if __name__ == "__main__":
mcp.run(transport="stdio")
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 · 162 lines · 1,305 tokens per session scan A 8138b53eac13
xiaozhi-mcp AGENTS.md is an instructions file published in the GitHub repository botwith/xiaozhi-mcp (0 stars, last pushed 9mo ago), licensed MIT. It adds 1,305 tokens to every session, about $0.0052 per session on Opus 5.5. 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.
xiaozhi-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| xiaozhi-mcp AGENTS.mdbotwith/xiaozhi-mcp | Instructions file | 0 | 9mo ago | MIT | A | 1,305 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |