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 yuanchuan · Codex Skill · ★ 194
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aivo safe to install? View the security audit →
Aivo is a command-line tool that connects your existing coding agent to the model you want. It includes starter models to get you going — no API key required. Docs https://getaivo.dev Install Install script (macOS, Linux): Homebrew: PowerShell (Windows): Npm Quick Start The built-in provider activates on first run, so no key is required to try it: Add a key to access more models: Supported coding agents [Pi Coding Agent](https://github.com/badlogic/pi-mono/tree/main/packages/coding-agen
| Stars | 194 |
| Forks | 17 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.2403997223853/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-30 |
| Created | 2026-02-26 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~24k |
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aivo is Use your favorite coding agent with any model.. It is categorized as a Codex Skill with 194 GitHub stars.
aivo is primarily written in Rust. It covers topics such as claude-code, codex, coding-agent.
You can find installation instructions and usage details in the aivo GitHub repository at github.com/yuanchuan/aivo. The project has 194 stars and 17 forks, indicating an active community.
aivo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aivo on Agent Skills Hub include codegraph-rust, agent-skills, awesome-ai-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: