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 firebase · Agent Tool · ★ 461
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-skills safe to install? View the security audit →
Firebase Agent Skills A collection of skills for AI coding agents, to help them understand and work with Firebase more effectively. Skills are packaged instructions and scripts that extend agent capabilities, following the Agent Skills format. Installation Option 1: Agent Skills CLI For most popular AI-assistive tools, you can use the CLI to install Firebase agent skills: Option 2: Gemini CLI Extension This repository is configured as a Gemini CLI extension. You can add it using the Gemini CLI: Option 3: Claude Plugin Add the Firebase marketplace for Claude plugins: Install the Claude plugin for Firebase: Verify the installation: Option 4: Codex Plugin Add the Firebase marketplace for Codex plugins: Install the Firebase plugin: Option 5: Manual Set Up Clone this repository: Copy the contents of the s
| Stars | 461 |
| Forks | 102 |
| Language | JavaScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 62.6744942799998/100 |
| Open Issues | 38 |
| Last Updated | 2026-10-01 |
| Created | 2026-02-10 |
| Platforms | node |
| Est. Tokens | ~13k |
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agent-skills is Agent Skills for Firebase. It is categorized as a Agent Tool with 461 GitHub stars.
agent-skills is primarily written in JavaScript.
You can find installation instructions and usage details in the agent-skills GitHub repository at github.com/firebase/agent-skills. The project has 461 stars and 102 forks, indicating an active community.
agent-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 agent-skills on Agent Skills Hub include skills, awesome-android-agent-skills, synalinks-skills. 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: