router: Model router for agentic systems

by weave-os · Codex Skill · ★ 5.6k

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

How to install router

npx @weave-os/router
npx @weave-os/router --claude              # skip the picker, Claude Code

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

Security audit verdict: SAFE · quality 56/100

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.

agentic-codingai-gatewayanthropicclaude-codecodexmodel-routeropenai-compatible

Quick Facts

Stars5,613
Forks165
LanguageGo
CategoryCodex Skill
LicenseApache-2.0
Quality Score56/100
Open Issues216
Last Updated2026-11-05
Created2026-04-27
Platformsclaude-code, codex, go
Est. Tokens~22k

About router

<path d="M643 364C687.22 364 731.44 364 777 364C777 388.21 777 388.21 776.188 395.906C776.098 396.82 776.009 397.735 775.917 398.677C775.625 401.619 775.314 404.56 775 407.5C774.893 408.53 774.786 409.559 774.675 410.62C772.868 427.87 770.568 445.036 768 462.188C767.758 463.821 767.758 463.821 767.512 465.487C765.566 478.525 763.183 491.358 760.118 504.181C759.029 508.762 758.146 513.366 757.312...

Compatible Skills

These tools work well together with router for enhanced workflows:

  • bifrost — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • semantic-router — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • ccNexus — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

router alternative? Top 6 similar tools

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  • llmgateway by theopenco · ⭐ 1.7k

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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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