hallucination-detector
Zero-dependency plugin that catches speculation, invented causality, and fake citations before they enter your context.
Zero-dependency Claude Code plugin that catches speculation, invented causality, and fake citations before they pollute your context. Install in one command, works offline, no API keys needed.
- Catch invented file paths and fake function names before they spread
- Detect fabricated citations and speculative claims automatically
- Flag unreliable assistant outputs with zero setup required
Zero-dependency plugin that catches speculation, invented causality, and fake citations before they enter your context. Offline, no API keys, one-command install.
Any Claude Code user who has been burned by hallucinated file paths, invented function names, or fabricated citations.
https://github.com/bitflight-devops/hallucination-detector
By bitflight-devops
How to Get It
npx skills add bitflight-devops/hallucination-detector # Target Claude Code specifically: npx skills add bitflight-devops/hallucination-detector -a claude-code
After installing, paste this into Claude:
Help me catch invented file paths and fake function names before they spread
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- We built an open-source hallucination detector specifically for RAG pipelines to — Reddit · 24 pts
- Real-time AI hallucination detection with timeplus: A chess example — Hacker News · 22 pts
- A lightweight hallucination detector for RAG (catches contradictions without an — Reddit · 11 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 7 GitHub stars; 6 contributors; last commit 16d ago; license MIT.
Things to check
- Acts as a filter, not a guarantor—catches obvious hallucinations (fake citations, contradictions) but cannot verify all claims independently. Requires human review of flagged content; may produce false positives on speculative-but-honest reasoning.
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
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 7 GitHub stars; 6 contributors; last commit 16d ago; license MIT.