paul: Plan-Apply-Unify Loop — Structured AI-assisted development for Claude Code

by ChristopherKahler · Claude Skill · ★ 1.2k

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

How to install paul

npx paul-framework
npx paul-framework@latest

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

Security audit verdict: SAFE · quality 75/100

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.

ai-developmentai-toolsclaudeclaude-codedevelopment-frameworkproject-orchestrationspec-drivenvibe-coding

Quick Facts

Stars1,186
Forks128
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score75/100
Open Issues11
Last Updated2026-08-21
Created2026-01-28
Platformsclaude-code, node
Est. Tokens~17k

About paul

PAUL Plan-Apply-Unify Loop — Structured AI-assisted development for Claude Code. Works on Mac, Windows, and Linux. "Quality over speed-for-speed's-sake. In-session context over subagent sprawl." Why PAUL · Getting Started · The Loop · Commands · How It Works Why PAUL I build with Claude Code every day. It's incredibly powerful — when you give it the right context. The problem? Context rot.

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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