hamelsmuhamelsmuCommunityยท7 Agent Skills Included

evals-skills

Build trustworthy LLM evaluations with proven audit and testing workflows

Audits LLM evaluation pipelines and surfaces problems like unvalidated judges, vanity metrics, and missing error analysis. Guides failure categorization, synthetic test data generation, LLM-as-Judge prompt design, and judge calibration against human labels. Eliminates guesswork in AI quality testing so teams ship reliable models faster.
npx skills add hamelsmu/evals-skills --all -g -y

All Skills in This Repository (7)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install evals-skills?โ–ผ

Run `npx skills add hamelsmu/evals-skills --all -g -y` in your terminal to install all evaluation skills globally.

How to audit an LLM eval pipeline?โ–ผ

Use the eval-audit skill, which inspects your traces, judge prompts, and labeled data, then reports prioritized problems with concrete fixes.

How to build a reliable LLM-as-Judge evaluator?โ–ผ

The write-judge-prompt skill designs binary pass/fail judges with few-shot examples, and validate-evaluator calibrates them against human labels using TPR/TNR.

Can I evaluate a RAG pipeline with these skills?โ–ผ

Yes. The evaluate-rag skill measures retrieval quality with Recall@k and MRR, then separately checks generation faithfulness and relevance.

Do these skills work with Claude Code and other AI agents?โ–ผ

Yes. All skills follow the standard SKILL.md format and run in Claude Code, Cursor, and other compatible AI coding agents.

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