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 digipulse-engineering · Codex Skill · ★ 161
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is GAAI-framework safe to install? View the security audit →
GAAI — Governed Agentic AI Infrastructure A folder you drop into any project. Markdown + YAML + bash. No SDK. No package. No external services. GAAI turns AI coding tools into reliable agentic software delivery systems. See It in Action Two sl
| Stars | 161 |
| Forks | 27 |
| Language | Shell |
| Category | Codex Skill |
| Quality Score | 66.2480627608396/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-22 |
| Created | 2026-02-07 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~13k |
These tools work well together with GAAI-framework for enhanced workflows:
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GAAI-framework is Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until criteria pass. Works with C. It is categorized as a Codex Skill with 161 GitHub stars.
GAAI-framework is primarily written in Shell. It covers topics such as agentic-coding, ai-agents, ai-coding.
You can find installation instructions and usage details in the GAAI-framework GitHub repository at github.com/digipulse-engineering/GAAI-framework. The project has 161 stars and 27 forks, indicating an active community.
The top alternatives to GAAI-framework on Agent Skills Hub include GAAI-framework, ox, memorix. 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: