compound-engineering-plugin: Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more

by EveryInc · Claude Skill · ★ 25.9k

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

How to install compound-engineering-plugin

/plugin marketplace add EveryInc/compound-engineering-plugin
/plugin install compound-engineering@compound-engineering-plugin

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

Security audit verdict: SAFE · quality 71/100

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.

compoundengineering

Quick Facts

Stars25,928
Forks2,058
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Open Issues97
Last Updated2026-11-05
Created2025-10-09
Platformsclaude-code, codex, node
Est. Tokens~19k

About compound-engineering-plugin

Compound Engineering AI skills that make each unit of engineering work easier than the last. Philosophy Each unit of engineering work should make subsequent units easier -- not harder. Traditional development accumulates technical debt. Every feature adds complexity. Every bug fix leaves behind a little more local knowledge that someone has to rediscover later.

Compatible Skills

These tools work well together with compound-engineering-plugin for enhanced workflows:

  • claude-code-hub — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • claudian — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • ruler — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • crystal — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

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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 Claude Skill tools