umadev: A coding agent that works like a real dev team, commanding the Claude Code / Codex / OpenCode you already use

by umacloud · Codex Skill · ★ 259

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

How to install umadev

npm install -g umadev
git clone https://github.com/umacloud/umadev.git

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.

agentsaiai-agentsai-codingclaude-codecodex-clicodingcoding-agentcoding-agentsopen-code

Quick Facts

Stars259
Forks63
LanguageRust
CategoryCodex Skill
LicenseMIT
Quality Score63/100
Open Issues3
Last Updated2026-09-29
Created2026-06-19
Platformsclaude-code, cli, codex, rust
Est. Tokens~26k

About umadev

UmaDev 给 AI 编码底座套一条治理轨道 从一句需求,到 PRD、架构、UI/UX、代码、质量门、交付包——底座写代码,UmaDev 管流程。 简体中文 English 目录 简介 · 项目来源 · 它解决什么问题 快速体验 · 一个完整例子 · UmaDev 如何工作 运行模式 · 流水线设计 · 质量门是什么 治理规则是什么 · 知识库是什么 · 交付产物长什么样 命令大全 · 配置 · Rust 架构 · 开发 简介 UmaDev 是一个本地运行的确定性壳:它给你已经登录的 AI 编码底座(Claude Code / Codex / OpenCode)套上一条治理轨道,把"AI 写代码"约束成一个可检查、可恢复、可审计的交付流程。它不替代这些底座,也不卖模型 API——脑子始终在底座,UmaDev 只管流程、规则和证据。 把你的需求拆成完整交付流程:先澄清,再调研,再写...

Compatible Skills

These tools work well together with umadev for enhanced workflows:

  • crab-code — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • learn-claude-code-rs — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

umadev alternative? Top 6 similar tools

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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