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 furkankly · Codex Skill · ★ 827
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is zoetrope safe to install? View the security audit →
zoetrope Watch a Claude Code session as a live flow graph, in your terminal or your browser. zoetrope.furkankly.dev · the whole app in your browser, the same binary compiled to WASM <p align="c
| Stars | 827 |
| Forks | 52 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.512151575467/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-11 |
| Created | 2026-08-18 |
| Platforms | browser, claude-code, codex, rust |
| Est. Tokens | ~24k |
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zoetrope is Watch a Claude Code or Codex session as a live flow graph, in your terminal or your browser.. It is categorized as a Codex Skill with 827 GitHub stars.
zoetrope is primarily written in Rust. It covers topics such as agent-visualization, claude-code, codex.
You can find installation instructions and usage details in the zoetrope GitHub repository at github.com/furkankly/zoetrope. The project has 827 stars and 52 forks, indicating an active community.
zoetrope is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to zoetrope on Agent Skills Hub include models, abtop, pixtuoid. 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: