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 mistralai · Agent Tool · ★ 5.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mistral-vibe safe to install? View the security audit →
Mistral Vibe Mistral's open-source CLI coding assistant. Mistral Vibe is a command-line coding assistant powered by Mistral's models. It provides a conversational interface to your codebase, allowing you to use natural language to explore, modify, and interact with your projects through a powerful set of tools. [!WARNING] Mistral Vibe works on Windows, but we officially support and target UNIX environments. One-line install (recommended) Linux and macOS Windows First, install uv Then, use uv command below. Using uv Using pip
| Stars | 4,956 |
| Forks | 698 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.0292094748617/100 |
| Open Issues | 301 |
| Last Updated | 2026-09-15 |
| Created | 2025-12-08 |
| Platforms | cli, python |
| Est. Tokens | ~24k |
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mistral-vibe is Minimal CLI coding agent by Mistral. It is categorized as a Agent Tool with 5.0k GitHub stars.
mistral-vibe is primarily written in Python.
You can find installation instructions and usage details in the mistral-vibe GitHub repository at github.com/mistralai/mistral-vibe. The project has 5.0k stars and 698 forks, indicating an active community.
mistral-vibe is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mistral-vibe on Agent Skills Hub include open-saas, notebooklm-skill, agent-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: