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 AgenticMatrix · Agent Tool · ★ 190
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-claude-code safe to install? View the security audit →
Coderix A fully open-source (Apache 2.0) terminal AI programming assistant — the free alternative to Claude Code. Coderix is a powerful AI coding agent that runs in your terminal or as a desktop app. It can read, write, edit files, execute shell commands, search code, and more — all through natural language conversation. Built with Ink/React for a beautiful TUI experience, plus an Electron desktop app (React DOM + Monaco + xterm) that shares the same core engine. Why Coderix? Quick Start Prerequisites Node.js = 22 An API key from DeepSeek, Anthropic, or OpenAI #
| Stars | 190 |
| Forks | 10 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 75.1447289906666/100 |
| Last Updated | 2026-09-22 |
| Created | 2026-06-01 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
These tools work well together with open-claude-code for enhanced workflows:
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Your own Claude Code UI, sandbox, in-browser VS Code, terminal, multi-provider support (Anthropic, OpenAI, Git
🚀 告别多个App！本项目主要基于Python+React+TypeScript+Hono+SQLite3+Redis，打造“All in One”智能工具集。免会员播放爱奇艺、腾讯视频、优酷、抖音、B站、小红书等20
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open-claude-code is A pure open-source coding agent developed solely by DeepSeek.. It is categorized as a Agent Tool with 190 GitHub stars.
open-claude-code is primarily written in TypeScript. It covers topics such as agent, agentic-workflow, claude-code.
You can find installation instructions and usage details in the open-claude-code GitHub repository at github.com/AgenticMatrix/open-claude-code. The project has 190 stars and 10 forks, indicating an active community.
The top alternatives to open-claude-code on Agent Skills Hub include claudex, ChattyPlay-Agent, argo. 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: