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 getpaseo · Codex Skill · ★ 18.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paseo safe to install? View the security audit →
Paseo One interface for all your Claude Code, Codex and OpenCode agents. Run agents in parallel on your own machines. Ship from your phone or your desk. Self-hosted: Agents run on your machine with your full dev environment. Use your tools, your configs, and your skills. Multi-provider: Claude Code, Codex, and OpenCode through the same interface. Pick the right model for each job. Voice control: Dictate tasks or talk through problems in voice mode. Hands-free
| Stars | 18,110 |
| Forks | 2,077 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 64.7886958827653/100 |
| Open Issues | 906 |
| Last Updated | 2026-09-23 |
| Created | 2025-10-13 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~15k |
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paseo is Orchestrate multiple coding agents from desktop and mobile. It is categorized as a Codex Skill with 18.1k GitHub stars.
paseo is primarily written in TypeScript. It covers topics such as ade, agents, android.
You can find installation instructions and usage details in the paseo GitHub repository at github.com/getpaseo/paseo. The project has 18.1k stars and 2077 forks, indicating an active community.
The top alternatives to paseo on Agent Skills Hub include orca, superset, codeg. 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: