dinosn

Raptor Loop Hunt — Security skill for Claude Code

Security community

RAPTOR autonomous looping multi-altitude security vulnerability hunt — Claude Code skill.

How to install Raptor Loop Hunt

This entry records only its repository, not the path inside it, so there is no exact command to give. Open dinosn/raptor-loop-hunt and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Raptor Loop Hunt does

RAPTOR autonomous looping multi-altitude security vulnerability hunt — Claude Code skill.

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README

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:

/plugin marketplace add dinosn/raptor-loop-hunt
/plugin install raptor-loop-hunt@raptor

Then `/reload-plugins` (or restart). The skill auto-triggers on audit requests, or invoke it directly.

**Or drop it in as a personal skill** — clone into your Claude Code skills directory and it is discovered automatically on the next session:

git clone https://github.com/dinosn/raptor-loop-hunt ~/.claude/skills/raptor-loop-hunt

Use

Invoke it explicitly:

/raptor-loop-hunt

…or just describe an audit task ("audit ./src for security", "find every exploitable bug in this service") and the skill triggers on its own. Point it at a repo, a service, a module, or a directory.

What it does

Multi-altitude generate → judge → verify loop. Candidates are generated at every altitude (whole-system down to a single function), then adversarially judged and verified from raw source — never from the generator's own summary.
Isolated parallel reasoners so independent findings don't contaminate one another.
Monotonic-scrutiny knowledge base (raptor-loop-kb) that can only ever raise scrutiny across