aicommit2: A Reactive CLI that generates commit messages for Git and Jujutsu with Ollama, ChatGPT, Gemini, Claude

by tak-bro · Agent Tool · ★ 532

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

How to install aicommit2

brew install aicommit2
npm install -g aicommit2

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

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. Full audit →

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.

ai-commitsaicommitaicommitsanthropicchatgptclaudeclicodestralcoheredeepseek

Quick Facts

Stars532
Forks48
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score70/100
Last Updated2026-10-28
Created2024-01-30
Platformsclaude-code, cli, gemini, node
Est. Tokens~26k

About aicommit2

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

Compatible Skills

These tools work well together with aicommit2 for enhanced workflows:

  • brainstorm-mcp — semantic(0.16)+complementary+shared_fw(ollama)+rare_topics+same_lang+shared_platform (53%)
  • git-mcp-server — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • maid — semantic(0.21)+shared_fw(ollama)+rare_topics+same_lang+similar_pop+shared_platform (50%)
  • BaseAI — semantic(0.13)+rare_topics+same_lang+similar_pop+shared_platform (50%)

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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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