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 cfal · Codex Skill · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is garcon safe to install? View the security audit →
Garcon Garcon is a unified coding workspace for AI coding agents - use it from your phone or computer, with seamless access to your local machine. Works with Claude Code, Codex, Cursor Agent, OpenCode, Amp, Factory Droid, Pi, and OpenAI/Anthropic-compatible endpoints. Main workspace Git workbench Mobile layout Settings screen Wh
| Stars | 90 |
| Forks | 15 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 64.1597033745658/100 |
| Open Issues | 38 |
| Last Updated | 2026-10-03 |
| Created | 2026-02-23 |
| Platforms | browser, claude-code, codex, node |
| Est. Tokens | ~15k |
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garcon is Self-hosted browser workspace to run coding agents in parallel, steer work as it runs, review diffs, and ship.. It is categorized as a Codex Skill with 90 GitHub stars.
garcon is primarily written in TypeScript. It covers topics such as agent-harness, agent-orchestration, agentic-ai.
You can find installation instructions and usage details in the garcon GitHub repository at github.com/cfal/garcon. The project has 90 stars and 15 forks, indicating an active community.
The top alternatives to garcon on Agent Skills Hub include hivemind, vnx-orchestration, clay. 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: