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 redis · Agent Tool · ★ 142
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-skills safe to install? View the security audit →
Redis Agent Skills A collection of skills for AI coding agents working with Redis. Skills are packaged instructions and resources that extend agent capabilities. Skills follow the Agent Skills format. Available Skills Installation Agent Skills CLI Claude Code Plugin You can also install the skills as a Claude Code plugin: Cursor Plugin This repository also includes Cursor plugin packaging. Run this command in chat: The top-level directory remains the source of truth. Plugin folders symlink only the skill directories they expose. Usage Skills are automatically available once installed. The agent will use them when relevant tasks are detected. Examples: Skill Structure Each skill contains: - Instructions for the agent - Compiled rules (generated for rule-based skills) - Individual rule files (for rule-based skills) - He
| Stars | 142 |
| Forks | 29 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.0746868959104/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-08 |
| Created | 2026-01-29 |
| Platforms | node |
| Est. Tokens | ~14k |
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agent-skills is Redis' official collection of agent skills. It is categorized as a Agent Tool with 142 GitHub stars.
agent-skills is primarily written in TypeScript. It covers topics such as agent-skills, redis.
You can find installation instructions and usage details in the agent-skills GitHub repository at github.com/redis/agent-skills. The project has 142 stars and 29 forks, indicating an active community.
agent-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-skills on Agent Skills Hub include copilot-mcp, lunar, ai-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: