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 tak-bro · Agent Tool · ★ 528
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aicommit2 safe to install? View the security audit →
aicommit2 A Reactive CLI that generates commit messages for Git, YADM, and Jujutsu with Ollama, ChatGPT, Gemini, Claude, Mistral, and other AI Table of Contents Quick start Introduction Key features Supported providers Setup How it works Version Control Systems Usage [Integrations](#in
| Stars | 528 |
| Forks | 45 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.0013698722463/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-14 |
| Created | 2024-01-30 |
| Platforms | claude-code, cli, gemini, node |
| Est. Tokens | ~26k |
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aicommit2 is A Reactive CLI that generates commit messages for Git and Jujutsu with Ollama, ChatGPT, Gemini, Claude, Mistral and other AI. It is categorized as a Agent Tool with 528 GitHub stars.
aicommit2 is primarily written in TypeScript. It covers topics such as ai-commits, aicommit, aicommits.
You can find installation instructions and usage details in the aicommit2 GitHub repository at github.com/tak-bro/aicommit2. The project has 528 stars and 45 forks, indicating an active community.
aicommit2 is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aicommit2 on Agent Skills Hub include cai, dialoqbase, BaseAI. 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: