Mole — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by tw93 · AI Tool · ★ 69.2k

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

🔒 Is Mole safe to install? View the security audit →

About Mole

Mole Deep clean and optimize your Mac. Features All-in-one toolkit: Combines CleanMyMac, AppCleaner, DaisyDisk, and iStat Menus in a single binary Deep cleaning: Removes caches, logs, browser leftovers, and orphaned app data to reclaim gigabytes of space Smart uninstaller: Removes apps plus launch agents, preferences, and hidden remnants Disk insights: Visualizes u

analyzerappcleanercleancleanercleanmymaccommand-linedaisydiskistatmacmacos

Quick Facts

Stars69,151
Forks2,449
LanguageShell
CategoryAI Tool
LicenseGPL-3.0
Quality Score63.4426954129754/100
Open Issues6
Last Updated2026-10-03
Created2025-09-23
Platformscli
Est. Tokens~14k

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Frequently Asked Questions

What is Mole?

Mole is 🐹 Clean, uninstall, analyze, optimize, and monitor your Mac. Free open-source CLI, plus a native Mac app.. It is categorized as a AI Tool with 69.2k GitHub stars.

What programming language is Mole written in?

Mole is primarily written in Shell. It covers topics such as analyzer, appcleaner, clean.

How do I install or use Mole?

You can find installation instructions and usage details in the Mole GitHub repository at github.com/tw93/Mole. The project has 69.2k stars and 2449 forks, indicating an active community.

What license does Mole use?

Mole is released under the GPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to Mole?

The top alternatives to Mole on Agent Skills Hub include ui-ux-pro-max-skill, aider, cmux. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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