ai-git-bot: The self-hosted AI workflow automation platform for Git repositories

by tmseidel · Agent Tool · ★ 194

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

How to install ai-git-bot

git clone https://github.com/tmseidel/ai-git-bot.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 65/100

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.

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.

aiai-toolsanthropicautomationbitbucketbotchatbotcode-reviewdevopsgitea

Quick Facts

Stars194
Forks47
LanguageJava
CategoryAgent Tool
LicenseMIT
Quality Score65/100
Open Issues25
Last Updated2026-11-05
Created2026-03-31
Platformsjava
Est. Tokens~18k

About ai-git-bot

AI-Git-Bot 🌐 Languages: English · 中文 · 한국어 · 日本語 Automate the necessary-but-uncomfortable parts of software development — directly inside the Git tools your team already uses. Every team has a list of "we know we should be doing this" engineering chores: writing a properly scoped issue before coding starts, adding a regression test for the bug you just fixed, re-reviewing a PR after the third...

Compatible Skills

These tools work well together with ai-git-bot for enhanced workflows:

  • api2mcp4j — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • mcp-zap-server — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • spring-ai — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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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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