by galleonlabs · Claude Skill · ★ 297
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 297 |
| Forks | 70 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-04 |
| Created | 2026-08-16 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~14k |
HyperGrok Turn your Grok Bot into a 7-agent Hyperliquid trading desk. Paste this repo into Grok Bot. Fifteen minutes later you have research, risk, execution and review as separate agents, sitting in one group chat, wired straight into Hyperliquid. They brief you on markets, size your trades, send what you approve and tell you honestly how it went. You bring the ideas. Let them cook.
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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: