by Leeroo-AI · Codex Skill · ★ 195
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin install superml@leeroo-marketplace
claude plugin add --from-github leeroo-ai/supermlTaken 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 | 195 |
| Forks | 18 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 72/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-17 |
| Created | 2026-03-03 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~27k |
SuperML Give your AI coding agent ML engineering superpowers. Watch how SuperML works in 90 seconds: If SuperML helps you, give it a ⭐ it helps others find the project. It adds two things your coding agent doesn't have: ML Pipeline: Seven skills that encode the workflow you already follow. Plan against real framework docs. Catch config mistakes before they cost you GPU hours. Debug OOM, NaN, a
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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: