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 open-gitagent · Codex Skill · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gitagent-protocol safe to install? View the security audit →
GitAgentProtocol (Open GAP) | your repository becomes your agent — the GitAgentProtocol (GAP) Manager CLI, published as . Previously published as . GitAgentProtocol (Open GAP) is a framework-agnostic, git-native standard for defining AI agents. Clone a repo, get an agent. is its reference CLI. 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. Git-native — Version control, branching, diffing, and collaboration built in Framework-agnostic — Export to any framework with adapters Compliance-ready
| Stars | 2,776 |
| Forks | 334 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.3893173008418/100 |
| Open Issues | 12 |
| Last Updated | 2026-05-13 |
| Created | 2026-02-24 |
| Platforms | claude-code, node |
| Est. Tokens | ~1675k |
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gitagent-protocol is A framework-agnostic, git-native standard for defining AI agents. It is categorized as a Codex Skill with 2.8k GitHub stars.
gitagent-protocol is primarily written in TypeScript. It covers topics such as agent, agent-framework, agent-skills.
You can find installation instructions and usage details in the gitagent-protocol GitHub repository at github.com/open-gitagent/gitagent-protocol. The project has 2.8k stars and 334 forks, indicating an active community.
gitagent-protocol is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gitagent-protocol on Agent Skills Hub include symbiotic-ai, hive, Upsonic. 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: