GenPark AI Agent Skill - Calculates RAG faithfulness ratios, context claim grounding and semantic answer relevance metrics.
GenPark AI Agent Skill - RAGAS Faithfulness & Answer Relevance Evaluator
Computes sentence-level contextual grounding and question relevance ratios to detect hallucinations in RAG architectures.
Verified by GenPark AI and compatible with Model Context Protocol (MCP).
Features - Zero Dependencies: Pure Python standard library. - Automated Guardrail Integration: Rejects synthetic answers with ungrounded extrapolations.
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/Alpha-Park--genpark-ragas-faithfulness-answer-relevance-evaluator-skill.html)
GenPark AI Agent Skill - Calculates RAG faithfulness ratios, context claim grounding and semantic answer relevance metrics.
alphaparkinc/genpark-synthetic-text-ngram-diversity-entropy-scorer-skillGenPark AI Agent Skill - Distinct-N ngram diversity ratio and Shannon entropy evaluator detecting model mode collapse and loops.
alphaparkinc/genpark-adversarial-redteam-prompt-injection-fuzzer-skillGenPark AI Agent Skill - Multi-turn jailbreak and indirect prompt injection fuzzer evaluating LLM agent safety guardrails.
alphaparkinc/genpark-synthetic-tabular-correlation-copula-aligner-skillGenPark AI Agent Skill - Covariance and correlation alignment engine ensuring synthetic datasets preserve multi-attribute feature dependencies.
alphaparkinc/genpark-label-noise-confident-learning-pruner-skillGenPark AI Agent Skill - Confident learning joint distribution estimator identifying mislabeled training samples for data cleaning.
Alpha-Park/genpark-synthetic-text-ngram-diversity-entropy-scorer-skillGenPark AI Agent Skill - Distinct-N ngram diversity ratio and Shannon entropy evaluator detecting model mode collapse and loops.
The top new MCP servers of the week, every Monday. No spam, unsubscribe anytime.