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 ItsWendell · Codex Skill · ★ 187
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is palot safe to install? View the security audit →
A desktop GUI for OpenCode Alpha Software -- Palot is under active development. Expect breaking changes, missing features, and rough edges. Feedback and contributions are welcome! What is Palot? Palot is an open-source Electron app that gives OpenCode a full desktop interface. OpenCode is a po
| Stars | 187 |
| Forks | 26 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.9619828333074/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-19 |
| Created | 2026-02-08 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~17k |
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palot is Just another desktop client for OpenCode 2. Manage projects, sessions, parallel agents, requests, and changes on Linux and macOS.. It is categorized as a Codex Skill with 187 GitHub stars.
palot is primarily written in TypeScript. It covers topics such as agentic-coding, ai-agent, ai-coding-assistant.
You can find installation instructions and usage details in the palot GitHub repository at github.com/ItsWendell/palot. The project has 187 stars and 26 forks, indicating an active community.
palot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to palot on Agent Skills Hub include Overture, golembot, aiwg. 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: