hallucination-guard
SolidVerify AI-generated imports, API calls, and packages actually exist. Use when finishing AI-generated code that introduces new imports or external API calls — auto-fires after fix/cook to catch phantom functions, non-existent packages, and slopsquatting attacks.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- Rune-kit
- Repository
- Rune-kit/rune
- Created
- 5 months ago
- Last Updated
- 3 days ago
- Language
- JavaScript
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
detect-hallucinations
Use this to detect when an LLM is making things up, so you can flag or block confident-but-wrong answers before users see them. Trigger on "detect hallucinations", "is the model making this up", "flag unreliable answers", "hallucination check", "confidence scoring for LLM output", or hardening a RAG/QA system. Pick a method that matches whether you have reference context or not.
hallucination-evaluator
Detect and measure ungroundedness in LLM and RAG outputs — claims the source doesn't support — by decomposing answers into atomic claims and checking each for entailment, so you can quantify faithfulness and gate on it instead of eyeballing it. Use when a RAG/LLM feature makes confident wrong claims, before shipping anything that must be factual, or to add a groundedness gate to evals/CI.
preflight
Pre-commit quality gate that catches 'almost right' code. Use when about to commit — auto-fires before commit to validate logic correctness, error handling, regressions, and completeness. Goes beyond linting.