by google-gemini · AI Tool · ★ 99
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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 | 99 |
| Forks | 39 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 65/100 |
| Open Issues | 26 |
| Last Updated | 2026-10-19 |
| Created | 2026-05-06 |
| Platforms | gemini, python |
| Est. Tokens | ~14k |
Gemini Managed Agents Templates This repository contains a collection of templates for building and deploying Gemini Managed Agents using the Gemini API. These templates demonstrate the power of the Gemini API sandbox, including code execution, filesystem operations, and web search. Available Templates Data Analyst: Upload a CSV and get full data analysis with charts and insights.
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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: