py-xiaozhi: Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support

by huangjunsen0406 · MCP Server · ★ 3.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install py-xiaozhi

git clone https://github.com/huangjunsen0406/py-xiaozhi.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

cross-platformedge-computingembodied-aiesp32esp32-s3iotmcpmcp-clientmcp-servermulti-modal

Quick Facts

Stars3,538
Forks744
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score63/100
Open Issues3
Last Updated2026-10-31
Created2025-02-15
Platformscli, mcp, python
Est. Tokens~14k

About py-xiaozhi

<a href="https://at

Compatible Skills

These tools work well together with py-xiaozhi for enhanced workflows:

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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