No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by chen-985211 · MCP Server · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cleancode safe to install? View the security audit →
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
| Stars | 60 |
| Forks | 9 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58.0055147891369/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-22 |
| Created | 2026-07-11 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~19k |
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cleancode is Bring Claude Code, Codex, and your favorite CLI agents into one visual workspace. Run agents in parallel and build executable workflows in isolated Git worktrees. Build your own AI coding team, and tu. It is categorized as a MCP Server with 60 GitHub stars.
cleancode is primarily written in TypeScript. It covers topics such as ade, agent-collaboration, agent-orchestration.
You can find installation instructions and usage details in the cleancode GitHub repository at github.com/chen-985211/cleancode. The project has 60 stars and 9 forks, indicating an active community.
cleancode is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cleancode on Agent Skills Hub include run-kit, vibepod-cli, agent-bridge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: