skill-based-architecture: A meta-skill that produces skills

by WoJiSama · Codex Skill · ★ 597

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Featured in: Skill Creation & Meta-Tools

How to install skill-based-architecture

/plugin marketplace add WoJiSama/skill-based-architecture
/plugin install skill-based-architecture@skill-based-architecture

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

Security audit verdict: SAFE · quality 66/100

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.

agentaichatbotclaudemarkdownskillspec

Quick Facts

Stars597
Forks50
LanguageShell
CategoryCodex Skill
LicenseMIT
Quality Score66/100
Open Issues1
Last Updated2026-09-20
Created2026-04-08
Platformsclaude-code, cli, codex, gemini
Est. Tokens~17k

About skill-based-architecture

Skill-Based Architecture English | 中文 A meta-skill that produces skills. Point it at any codebase and it distills the project's rules, workflows, and hard-won lessons into a dedicated directory — a project skill that becomes the single source of truth every AI agent (Cursor, Claude Code, Codex, Windsurf, Gemini) consults before every task. The output is the point.

Compatible Skills

These tools work well together with skill-based-architecture for enhanced workflows:

  • awesome-agent-skills — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • skills — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
  • ship — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (53%)

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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