{"repo":"codexstar69/bug-hunter","free":true,"listed":false,"github":"https://github.com/codexstar69/bug-hunter","clone":"git clone https://github.com/codexstar69/bug-hunter.git","description":"Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch.","language":"JavaScript","stars":487,"topics":["adversarial-ai","ai-code-review","auto-fix","bug-detection","claude","claude-code","code-quality","codex-cli","coding-agent","cursor"],"license":"MIT","category":"dev-tools","readme_excerpt":"--- title: Bug Hunter description: Install and use the measurable adversarial code-audit skill with scan-only defaults and explicit permission before source edits. prompt: Explain and use the current Bug Hunter protocol accurately. Keep scan-only and single-pass defaults unless the user explicitly requests loop coverage or mutation. Prefer canonical JSON artifacts, evidence-backed adversarial review, bounded adaptive/retrieval context, and fail-closed verification. --- Bug Hunter Adversarial code auditing for AI coding agents. Bug Hunter is an AI-agent skill for code review and security auditing. A Hunter finds possible bugs, a Skeptic challenges each claim, and a Referee decides what the evidence supports. The default run only scans and reports. It is single-pass unless --loop is explicitly requested. Editing, autonomous fixing, and commits each require explicit permission. v3.2.0 source — measurable, adaptive bug hunting The current v3.2.0 source makes the precision-first pipeline measurable and adaptive while preserving the scan-only default and fail-closed safety boundaries. The latest published npm release may lag GitHub main ; use the current-source command below when you need the exact implementation documented on this page. - Measurable benchmark quality gate scores one-to-one finding matches, precision, recall, F1, severity-weighted recall, false positives per KLOC, calibration, repeat stability, token usage, latency, and cost data when supplied. - Adaptive execution","default_branch":null,"files":null,"tree":[],"storefront":"/r/codexstar69","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/codexstar69/bug-hunter/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}