by suzuke · Codex Skill · ★ 65
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npm install -g @suzuke/agend # 1. InstallTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 65 |
| Forks | 5 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 61/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-10 |
| Created | 2026-03-21 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~15k |
AgEnD Run a fleet of AI coding agents from your phone. = 20" [!WARNING] AgEnD is in maintenance mode. Active development has moved to agend-terminal — a Rust rewrite with native PTY multiplexing, cross-platform support (macOS / Linux / Windows), and a built-in multi-pane TUI. All new features land there.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: