by AI2HU · Agent Tool · ★ 103
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/AI2HU/gego.git
go install github.com/AI2HU/gego/cmd/gego@latestTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 103 |
| Forks | 27 |
| Language | Go |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 68/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-23 |
| Created | 2025-10-07 |
| Platforms | go |
| Est. Tokens | ~20k |
Gego - GEO System for your brand, working with all LLMs Gego is an open-source GEO (Generative Engine Optimization) tracker. It schedules prompts across multiple Large Language Models (LLMs), captures web-search citations from their responses, tracks brand mentions with aliases, and surfaces keyword and domain analytics through a built-in dashboard and CLI.
These tools work well together with gego for enhanced workflows:
Explore other popular agent tool tools:
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: