RabiRoute: Self-hosted message gateway for AI agents: Codex, QQ, WeChat/WeCom, Feishu, smart devices and desktop

by vb2250158 · Codex Skill · ★ 492

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

How to install RabiRoute

git clone https://github.com/vb2250158/RabiRoute.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 62/100

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.

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.

agent-orchestrationai-agentschatbotchatopscodexdeepseek-harnessdesktop-automationfeishuhome-assistantmessage-routing

Quick Facts

Stars492
Forks0
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score62/100
Last Updated2026-11-05
Created2026-06-01
Platformscodex, node
Est. Tokens~16k

About RabiRoute

English 日本語 RabiRoute Let Agents connect everything around us. Connect communication platforms, smart devices, and desktop workflows to the right Agent. RabiRoute is a self-hosted message gateway and policy router for AI agents

Compatible Skills

These tools work well together with RabiRoute for enhanced workflows:

  • ai-bot-groupmate — semantic(0.31)+complementary+rare_topics+similar_pop+shared_platform (64%)
  • nextclaw — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)
  • qq-bridge — semantic(0.32)+complementary+rare_topics+similar_pop+shared_platform (60%)
  • Tulpa — semantic(0.30)+complementary+rare_topics+similar_pop+shared_platform (59%)
  • feishu-md2wechat — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)

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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:

View on GitHub → Browse Codex Skill tools