by LING71671 · Claude Skill · ★ 936
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Research archive of Claude Code source and runtime artifacts reconstructed from published npm source maps.
| Stars | 936 |
| Forks | 1,225 |
| Language | TypeScript |
| Category | Claude Skill |
| Quality Score | 54.2240553201884/100 |
| Open Issues | 9 |
| Last Updated | 2026-07-22 |
| Created | 2026-03-31 |
| Platforms | claude-code, node |
| Est. Tokens | ~13k |
These tools work well together with Open-ClaudeCode for enhanced workflows:
Looking for a Open-ClaudeCode alternative? If you're comparing Open-ClaudeCode with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Just another desktop client for OpenCode 2. Manage projects, sessions, parallel agents, requests, and changes
MCP Fusion - The framework for AI-native MCP servers.
471 plugins, 3,069 skills, 347 agents for Claude Code. Open-source marketplace at tonsofskills.com with the cc
Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software
everything-claude-code 中文翻译项目:完整的 Claude Code 配置集合(agents, skills, hooks, commands, rules, MCPs)。源自 Anthropic
Terminal session manager for AI coding agents. One TUI for Claude, Gemini, OpenCode, Codex, and more.
Explore other popular claude skill tools:
Open-ClaudeCode is Research archive of Claude Code source and runtime artifacts reconstructed from published npm source maps.. It is categorized as a Claude Skill with 936 GitHub stars.
Open-ClaudeCode is primarily written in TypeScript. It covers topics such as ai-coding-assistant, anthropic, claude-code.
You can find installation instructions and usage details in the Open-ClaudeCode GitHub repository at github.com/LING71671/Open-ClaudeCode. The project has 936 stars and 1225 forks, indicating an active community.
The top alternatives to Open-ClaudeCode on Agent Skills Hub include palot, mcp-fusion, claude-code-plugins-plus-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: