skill_tree: 为 AI coding agent打造的 Skill 分层路由树生成器。把臃肿的单体 Skill 拆分/聚合成 ROOT → ROUTER → SKILL 的树形结

by openBitFun · Codex Skill · ★ 68

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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. 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.

Quick Facts

Stars68
Forks7
LanguageShell
CategoryCodex Skill
LicenseMIT
Quality Score62/100
Last Updated2026-10-14
Created2026-04-28
Platformsclaude-code, cli, codex
Est. Tokens~13k

About skill_tree

Skill Tree Generator Your agent doesn't need every skill in context — just the ones it needs. Turn a flat pile of agent skills into a hierarchical routing tree your AI agent walks on demand, loading only the leaves it actually needs — one for a focused task, several in parallel when the prompt spans intents.

Compatible Skills

These tools work well together with skill_tree for enhanced workflows:

  • project-cairn — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)

skill_tree alternative? Top 1 similar tools

Looking for a skill_tree alternative? If you're comparing skill_tree with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • theorist by blader · ⭐ 191

    A Codex/Claude skill that maintains per-repo operating theory documents.

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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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