cleancode: Open-source canvas for orchestrating Claude Code, Codex, and other CLI agents

by chen-985211 · MCP Server · ★ 112

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

How to install cleancode

git clone https://github.com/chen-985211/cleancode.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 60/100

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.

adeagent-collaborationagent-orchestrationagenticagentic-codingagentsaiautomationcanvasclaude-code

Quick Facts

Stars112
Forks17
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score60/100
Open Issues2
Last Updated2026-11-07
Created2026-07-11
Platformsclaude-code, cli, codex, mcp, node
Est. Tokens~19k

About cleancode

CleanCode 简体中文 · English A canvas-based ADE that puts each feature's Agents, terminals, and workflows into one runnable development context. Start with branch isolation, keep context and runtime state, and turn proven setups into reusable development assets. One feature. One visible, executable development context. Downlo

cleancode alternative? Top 6 similar tools

Looking for a cleancode alternative? If you're comparing cleancode with other mcp server 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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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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