cc-best: Turn Claude Code into a full dev team — PM→Lead→Dev→QA autonomous workflow

by xiaobei930 · Agent Tool · ★ 50

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How to install cc-best

/plugin marketplace add xiaobei930/cc-best
/plugin install cc-best@xiaobei930

Taken from the project's README on GitHub.

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.

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-agentai-codinganthropicauto-learningbest-practicesclaudeclaude-codeclaude-code-agentsclaude-code-hooks

Quick Facts

Stars50
Forks3
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score62/100
Last Updated2026-06-12
Created2026-01-22
Platformsclaude-code, cli, node
Est. Tokens~13k

About cc-best

CC-Best Role-Driven Development Workflow for Claude Code English 🌐 Homepage Transform Claude into a complete development team. From product requirements to code review — one plugin, full workflow. 44 commands · 19 skills · 8 agents · 43 rules · 30 hooks <img src="assets/iterate.gif" alt="CC-Best autonomous iteration demo"

cc-best alternative? Top 6 similar tools

Looking for a cc-best alternative? If you're comparing cc-best with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • meridian by markmdev · ⭐ 185

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  • .claude by travisjneuman · ⭐ 107

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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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