claudecode-codex-subagents: A Claude Code plugin for orchestrating complex tasks by delegating to multiple parallel Codex agents, then

by CoderMageFox · Codex Skill · ★ 50

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

How to install claudecode-codex-subagents

git clone https://github.com/CoderMageFox/claudecode-codex-subagents.git
/plugin marketplace add CoderMageFox/claudecode-codex-subagents

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

Security audit verdict: SAFE · quality 63/100

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.

Quick Facts

Stars50
Forks4
LanguageShell
CategoryCodex Skill
LicenseMIT
Quality Score63/100
Open Issues3
Last Updated2025-11-07
Created2025-11-06
Platformsclaude-code, cli, codex
Est. Tokens~11k

About claudecode-codex-subagents

Codex Subagents - Claude Code Plugin 中文 | English 通过并行委托多个 Codex 代理来编排复杂任务,然后合并和审查结果的 Claude Code 插件。 功能特点 🚀 并行处理: 将复杂任务分解为可并行执行的单元(每批最多3个代理) 🔗 链式处理: 超过3个任务时自动进行链式批量处理 📊 实时进度: 使用 TodoWrite 实时显示任务执行进度 📝 详细日志: 所有子代理活动记录到 目录 🤖 智能委托: 通过 MCP 服务器自动委托给多个 Codex 子代理 🔄 智能合并: 自动检测冲突并应用最佳合并策略 ✅ 质量验证: 包含编译、测试、代码质量等多重验证关卡 快速安装 方式 1:一键安装脚本(推荐) 适合:首次使用,希望全自动安装 安装脚本会自动完成: ✅ 检测并自动安装缺失的依赖(Python 3, uv, Codex...

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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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