gitagent: A universal git-native AI agent framework

Last updated: 2026-11-03 · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install gitagent

npm install -g gitagent

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

Security audit verdict: SAFE · quality 69/100

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.

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Quick Facts

Stars	744
Forks	145
Language	Rust
Category	Codex Skill
License	MIT
Quality Score	69/100
Open Issues	61
Last Updated	2026-11-03
Created	2026-03-04
Platforms	rust
Est. Tokens	~26k

About gitagent

gitagent | your repository becomes your agent A framework-agnostic, git-native standard for defining AI agents. Clone a repo, get an agent. Why Every AI framework has its own structure. There's no universal, portable way to define an agent that works across Claude Code, OpenAI, LangChain, CrewAI, and AutoGen. gitagent fixes that.

Compatible Skills

These tools work well together with gitagent for enhanced workflows:

skills — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (58%)
agent-swarm — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
hazeljs — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
agent-skills-generator — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
clawe — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

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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:

View on GitHub → Browse Codex Skill tools