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 777genius · Agent Tool · ★ 925
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-source-code safe to install? View the security audit →
Claude Code Source Code Sponsored by Atlas Cloud Atlas Cloud is a full-modal AI inference platform that gives developers a single AI API to access video generation, image generation, and LLM APIs. Instead of managing multiple vendor integrations, you connect once and get unified access to 300+ curated models across all modalities. Check out Atlas Cloud's new coding plan promotion for more budget-friendly API access. Also Check Out This repository is now kept as a pointer repository for discoverability. If you are looking for the actual code, start with the main projects below. Main Projects Main working re
| Stars | 925 |
| Forks | 1,090 |
| Category | Agent Tool |
| Quality Score | 39.0547802078446/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-17 |
| Created | 2026-03-31 |
| Platforms | claude-code |
| Est. Tokens | ~16k |
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claude-code-source-code is Claude code source code. It is categorized as a Agent Tool with 925 GitHub stars.
You can find installation instructions and usage details in the claude-code-source-code GitHub repository at github.com/777genius/claude-code-source-code. The project has 925 stars and 1090 forks, indicating an active community.
The top alternatives to claude-code-source-code on Agent Skills Hub include claude-code-guide, Claude-Code-Everything-You-Need-to-Know, awesome-claude-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: