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 google · Agent Tool · ★ 20.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
Agent Skills This repository contains Agent Skills for Google products and technologies, including Google Cloud. [!NOTE] This repository is under active development. Installation From the command, you can select the specific skills from this repo to install. Available Skills Getting started with Google Cloud Authenticating to Google Cloud Google Cloud Recipe: Foundation Builder Onboarding to Google Cloud Multi-product solution skills Google Cloud solution-architecture workflow Agentic analytics across cloud providers and data types Borderless open data lakehouse agentic AI system Build and deploy AI agents on Google Cloud [Data science workflow with AI agents solution](./skills/cloud/google-cloud-solution-agentic-ai-data-sc
| Stars | 20,869 |
| Forks | 1,726 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 62.5975628974575/100 |
| Open Issues | 18 |
| Last Updated | 2026-10-02 |
| Created | 2026-03-31 |
| Platforms | python |
| Est. Tokens | ~16k |
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skills is Agent Skills for Google products and technologies. It is categorized as a Agent Tool with 20.9k GitHub stars.
skills is primarily written in Python. It covers topics such as google, googlecloud, skills.
You can find installation instructions and usage details in the skills GitHub repository at github.com/google/skills. The project has 20.9k stars and 1726 forks, indicating an active community.
skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include lobehub, ruflo, LibreChat. 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: