raptor-loop-hunt

raptor-loop-hunt is a Penetration testing & red team skill for AI agents, published by dinosn in the raptor-loop-hunt repository on GitHub. Skillspace rates raptor-loop-hunt F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.

Autonomous, looping, multi-altitude security vulnerability hunting for source code using RAPTOR's inventory-first generate-judge-verify methodology. Use by default when the user points to a repo, service, app, module, or directory and asks to audit, pentest, security-review, find bugs, or find anything exploitable. Depth cues such as go deep, find every bug, exhaustive, maximum coverage, keep hunting, verified not guessed, auto-research, or file/function-by-function strengthen the match, but a plain source-code security audit also qualifies. Do not use for webserver/config-only audits, one known-CVE reproduction, a one-file/function sanity check, dependency/SCA lookup, PR or style review, debugging one specific crash, or attack-surface mapping without vulnerability hunting.

Grade

F

Quality

15 / 100

Safety

Unsafe

GitHub stars

216

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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