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bug-hunt-bench

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

Quantifies which AI models can reliably identify and fix production bugs, reducing uncertainty in delegating code review and remediation tasks to frontier LL…

Bug Hunt Bench: 105 real bugs in two production repos, frontier coding models (GPT-6, Claude, Grok, Gemini, DeepSeek...) find and fix them in their own CLI, graded blind. Live leaderboard + every receipt.

170 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Quantifies which AI models can reliably identify and fix production bugs, reducing uncertainty in delegating code review and remediation tasks to frontier LLMs. Provides objective evidence for build-vs-buy decisions on AI-assisted debugging.

Engineering leaders evaluating frontier coding models for bug detection and repair workflows in production systems.

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https://github.com/phuryn/bug-hunt-bench

By phuryn

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install phuryn/bug-hunt-bench

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Identify and fix bugs in real production codebases using the benchmark CLI
CostFree

Trust Signals Auto-scanned

Stars170Contributors2Last updated2026-10-27Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-27 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 109 GitHub stars; contributors unknown; last commit 0d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 109 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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