skills — Agent Tool by semgrep

by semgrep · Agent Tool · ★ 193

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About skills

Agent Skills [Beta] A collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities. This should be considered beta-level software; it's primarily generated by transforming open-source Semgrep rules into skill format. Skills follow the Agent Skills format. Installation Available Skills code-security Comprehensive code security guidelines from Semgrep Engineering covering OWASP Top 10, infrastructure security, and secure coding best practices across 15+ languages. Use when: Writing new code Reviewing code for security vulnerabilities Asking about secure coding practices Configuring cloud infrastructure (Terraform, Kubernetes, Docker) Categories covered: Memory Saf

agentsclaude-codesecurityskills

Quick Facts

Stars193
Forks27
LanguageJavaScript
CategoryAgent Tool
Quality Score61.378/100
Open Issues4
Last Updated2026-04-25
Created2026-01-15
Platformsclaude-code, node
Est. Tokens~79k

skills alternative? Top 6 similar tools

Looking for a skills alternative? If you're comparing skills with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is skills?

skills is A collection of skills for AI coding agents from Semgrep. It is categorized as a Agent Tool with 193 GitHub stars.

What programming language is skills written in?

skills is primarily written in JavaScript. It covers topics such as agents, claude-code, security.

How do I install or use skills?

You can find installation instructions and usage details in the skills GitHub repository at github.com/semgrep/skills. The project has 193 stars and 27 forks, indicating an active community.

What are the best alternatives to skills?

The top alternatives to skills on Agent Skills Hub include JoySafeter, orchestkit, SecOpsAgentKit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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