by ramonclaudio · Agent Tool · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ramonclaudio/gemini-ai-toolkit.gitTaken 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 | 80 |
| Forks | 19 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70/100 |
| Last Updated | 2026-04-23 |
| Created | 2023-12-21 |
| Platforms | cli, gemini, python |
| Est. Tokens | ~25k |
Gemini AI Toolkit Unmaintained. Use , Google's unified Gen AI SDK for Python, or Jules if you want a terminal-first coding agent. I've always preferred pair programming with LLMs from the terminal over copy-pasting from browser chats. Web UIs hit rate limits, lose context across tabs, and break flow when I'm moving code back and forth.
These tools work well together with gemini-ai-toolkit 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: