ccg-workflow: 多模型协作工作流引擎 — /ccg:go 一个命令,AI 自动分析意图、选择策略、编排 Codex + Gemini + Claude 协作执行

by fengshao1227 · Codex Skill · ★ 5.9k

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How to install ccg-workflow

npx ccg-workflow
npx ccg-workflow menu  # Select "Install Claude Code"

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

Security audit verdict: SAFE · quality 77/100

Flagged: sudo usage. 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.

agent-teamsaiccgclaude-codeclicodexgeminillmno-denodejs

Quick Facts

Stars5,942
Forks450
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score77/100
Open Issues5
Last Updated2026-10-21
Created2026-01-04
Platformsclaude-code, cli, codex, gemini, node
Est. Tokens~17k

About ccg-workflow

CCG - Claude + Codex + Gemini Multi-Model Collaboration []() 简体中文 | English A multi-model collaboration development system where Claude Code orchestrates Codex + Gemini. Frontend tasks route to Gemini, backend tasks route to Codex, and Claude handles orchestration and code review. Why CCG? Zero-config model routing — Frontend tasks automatically go to Gemini, backend tasks to Codex.

Compatible Skills

These tools work well together with ccg-workflow for enhanced workflows:

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  • superset — semantic(0.17)+complementary+similar_pop+shared_platform (46%)
  • CLIProxyAPI — semantic(0.31)+same_lang+similar_pop+shared_platform (46%)

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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