Winnershitram

Llm Eval

Name: Llm Eval
Author: Winnershitram

AI community

SOURCE https://github.com/Winnershitram/r17-behisecc-awesome-claude-skills-datascience/blob/main/commands/llm-eval.md

Description

--- model: claude-sonnet-4-6 domain: datascience tags: ["data-science", "machine-learning", "analytics"] source_repo: BehiSecc/awesome-claude-skills --- # 🤖 Llm Eval > LLM output evaluation harness: hallucination rate, faithfulness and latency ## Context You are a senior Data Science & AI/ML specialist. The user needs help with **llm eval** in the context of data pipelines, model training, evaluation, mlops and analytical reporting. ## Requirements $ARGUMENTS ## Instructions ### Step 1

Installation

Installs to ~/.claude/skills/winnershitram-r17-behisecc-awesome-claude-skills-datascience-llm-eval/SKILL.md

Terminal

mkdir -p ~/.claude/skills/winnershitram-r17-behisecc-awesome-claude-skills-datascience-llm-eval && curl -fsSL https://raw.githubusercontent.com/Winnershitram/r17-behisecc-awesome-claude-skills-datascience/HEAD/commands/llm-eval.md -o ~/.claude/skills/winnershitram-r17-behisecc-awesome-claude-skills-datascience-llm-eval/SKILL.md

Restart Claude Code, or start a new session, for it to be picked up.