by beefiker · Codex Skill · ★ 112
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/plugin marketplace add beefiker/superloopy
/plugin install superloopy@beefiker
Taken from the project's README on GitHub.
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.
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 | 112 |
| Forks | 17 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-29 |
| Created | 2026-06-29 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~19k |
🌀 Superloopy Loop engineering for Codex, Claude Code, and Google Antigravity. Type — an agent does the work, proves each piece with real evidence, and only then says it's done. English · 한국어 · 中文(简体) · 日本語 · Español the crew — optional subagents, one job each Use it After installing, type your task in Codex, Claude Code, or Antigravity with a leading : The agent...
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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: