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 dinosn · Claude Skill · ★ 215
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is raptor-loop-hunt safe to install? View the security audit →
raptor-loop-hunt An autonomous, looping, multi-altitude security vulnerability hunt for a codebase, packaged as a Claude Code skill. It replaces the model's default "single pass, summarize, stop" behaviour with an explicit search procedure: traverse every altitude, generate candidates, adversarially verify them from raw source, run isolated parallel reasoners, and keep a persistent ledger so each loop is net-new coverage instead of rediscovery. In practice it finds far more real bugs than a one-shot scan — the "Karpathy auto-research" methodology. It triggers whenever you point Claude at source code and want vulnerabilities found — "audit this", "find every bug", "security-review it", "find anything exploitable". Install As a plugin — no clone needed. Add the marketplace and install; Claude Code fetches it for you: Then (or restart). The skill auto-triggers on audit requests, or invoke it directly.
| Stars | 215 |
| Forks | 18 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65.1314419102675/100 |
| Last Updated | 2026-09-01 |
| Created | 2026-07-14 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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raptor-loop-hunt is RAPTOR autonomous looping multi-altitude security vulnerability hunt — Claude Code skill. It is categorized as a Claude Skill with 215 GitHub stars.
raptor-loop-hunt is primarily written in Python.
You can find installation instructions and usage details in the raptor-loop-hunt GitHub repository at github.com/dinosn/raptor-loop-hunt. The project has 215 stars and 18 forks, indicating an active community.
raptor-loop-hunt is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to raptor-loop-hunt on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. 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: