by ClaugeHQ · Codex Skill · ★ 806
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🔒 Is Clauge safe to install? View the security audit →
Clauge One window. Every dev tool. Coding agents · workspace · REST · SQL · NoSQL · SSH · file explorer — every tool, one shell, an AI tuned to each. Website · Changelog · <a href="https://github.com/ansxuman/Clauge/re
| Stars | 806 |
| Forks | 69 |
| Language | Svelte |
| Category | Codex Skill |
| Quality Score | 55.6277511440707/100 |
| Open Issues | 8 |
| Last Updated | 2026-06-30 |
| Created | 2026-03-27 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~19k |
These tools work well together with Clauge for enhanced workflows:
Looking for a Clauge alternative? If you're comparing Clauge with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
One window. Every dev tool.
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desktop app to browse and analyze your Claude Code conversation history
A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenC
A lightweight, cross-platform database client for developers. Supports MySQL, PostgreSQL and SQLite. Hackable
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Explore other popular codex skill tools:
Clauge is The AI-powered super-app for developers.. It is categorized as a Codex Skill with 806 GitHub stars.
Clauge is primarily written in Svelte. It covers topics such as agent, antigravity-cli, claude-code.
You can find installation instructions and usage details in the Clauge GitHub repository at github.com/ClaugeHQ/Clauge. The project has 806 stars and 69 forks, indicating an active community.
The top alternatives to Clauge on Agent Skills Hub include Clauge, dbhub, claude-code-history-viewer. 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: