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 Jaxton07 · Agent Tool · ★ 345
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is percho safe to install? View the security audit →
percho Minimalist desktop GUI for the Pi coding agent — the same engine as the Pi CLI, in a clean visual interface. Multi-session chat, visual tool approvals, and custom themes. =22.19" English | <a href="R
| Stars | 345 |
| Forks | 23 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.4371621614765/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-08 |
| Platforms | cli, node |
| Est. Tokens | ~15k |
These tools work well together with percho for enhanced workflows:
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percho is Percho: Minimalist desktop GUI for the Pi coding agent — the same engine as the Pi CLI, in a clean visual interface. Multi-session chat, visual tool approvals, and custom themes.. It is categorized as a Agent Tool with 345 GitHub stars.
percho is primarily written in TypeScript. It covers topics such as agent, ai-agent, coding-agent.
You can find installation instructions and usage details in the percho GitHub repository at github.com/Jaxton07/percho. The project has 345 stars and 23 forks, indicating an active community.
percho is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to percho on Agent Skills Hub include PiDeck, palot, skills-hub. 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: