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 cocojojo5213 · Agent Tool · ★ 866
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Dev-Janitor safe to install? View the security audit →
Dev Janitor Cross-platform desktop application for cleaning development artifacts, managing local developer tools, and checking common environment issues. Download • Features • Screenshots • Development • Contributing • 简体中文 Overview Dev Janitor helps keep a local development machine under control. It focuses on the files, caches, services, and configuration drift that accumulate during everyday work. Features Cleanup Scan project directories for common development artifacts such as , , logs, caches, and temporary files. Detect ephemeral leftovers from AI coding tools without flagging active project config files such as , , , or as junk. Review and remove AI
| Stars | 866 |
| Forks | 57 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.8055127148313/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-08 |
| Created | 2026-01-16 |
| Platforms | rust |
| Est. Tokens | ~23k |
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Dev-Janitor is Cross-platform desktop app for cleaning development artifacts, managing local developer tools, and checking common environment issues.. It is categorized as a Agent Tool with 866 GitHub stars.
Dev-Janitor is primarily written in Rust. It covers topics such as ai-tools, cleanup, desktop-app.
You can find installation instructions and usage details in the Dev-Janitor GitHub repository at github.com/cocojojo5213/Dev-Janitor. The project has 866 stars and 57 forks, indicating an active community.
Dev-Janitor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Dev-Janitor on Agent Skills Hub include claude-code-history-viewer, repo-wizard, lovcode. 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: