Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by AnyiWang · Codex Skill · ★ 261
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Local-first desktop app for AI-assisted vibe coding Why · Capabilities · Quick Start · Providers · Architecture · License English | 简体中文 Why OpenCovibe? AI coding CLIs like Claude Code are powerful, but they run inside a terminal. That means no persistent dashboard, no visual diff review, no cross-session history, and no multi-provider switching. OpenCovibe wraps these CLIs with a native desktop UI that adds the layers the terminal can't provide — while keeping all your data stored locally. (Remote model APIs require network access; the app itself has no cloud backend.) Platform status: Currently developed and tested primarily on macOS. Windows and Linux builds are functional but have not bee
| Stars | 261 |
| Forks | 48 |
| Language | Rust |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 75.1644386859975/100 |
| Open Issues | 45 |
| Last Updated | 2026-08-26 |
| Created | 2026-02-18 |
| Platforms | claude-code, codex, rust |
| Est. Tokens | ~24k |
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OpenCovibe is Local-first desktop app for AI coding agents (Claude Code, Codex). Built with Tauri v2 + Svelte 5.. It is categorized as a Codex Skill with 261 GitHub stars.
OpenCovibe is primarily written in Rust. It covers topics such as ai-coding, claude-code, desktop-app.
You can find installation instructions and usage details in the OpenCovibe GitHub repository at github.com/AnyiWang/OpenCovibe. The project has 261 stars and 48 forks, indicating an active community.
OpenCovibe is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to OpenCovibe on Agent Skills Hub include yume, OpenContext, codegraph-rust. 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: