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 WorldFlowAI · Claude Skill · ★ 3.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is everything-claude-code safe to install? View the security audit →
Everything Claude Code The complete collection of Claude Code configs from an Anthropic hackathon winner. Production-ready agents, skills, hooks, commands, rules, and MCP configurations evolved over 10+ months of intensive daily use building real products. The Guides This repo is the raw code only. The guides explain everything. Shorthand GuideSetup, foundations, philosophy. Read this first. Longform Guide
| Stars | 3,934 |
| Forks | 610 |
| Language | JavaScript |
| Category | Claude Skill |
| Quality Score | 67.7464460752505/100 |
| Open Issues | 12 |
| Last Updated | 2026-01-23 |
| Created | 2026-01-23 |
| Platforms | claude-code, node |
| Est. Tokens | ~13k |
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everything-claude-code is Claude Code toolkit - agents, commands, skills, rules, and hooks for productive AI-assisted development. It is categorized as a Claude Skill with 3.9k GitHub stars.
everything-claude-code is primarily written in JavaScript.
You can find installation instructions and usage details in the everything-claude-code GitHub repository at github.com/WorldFlowAI/everything-claude-code. The project has 3.9k stars and 610 forks, indicating an active community.
The top alternatives to everything-claude-code on Agent Skills Hub include claude-scientific-skills, awesome-claude-skills, AI-Research-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: