Individual skill
eval-audit
Audit an LLM eval pipeline and surface problems: missing error analysis, unvalidated judges, vanity metrics, etc. Use when inheriting an eval system, when unsure whether evals are trustworthy, or as a starting point when no eval infrastructure exists. Do NOT use when the goal is to build a new evaluator from scratch (use error-discovery, write-judge-prompt, or validate-evaluator instead).
skills/eval-audit/SKILL.md
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# Eval Audit
Inspect an LLM eval pipeline and produce a prioritized list of problems with concrete next steps.
## Overview
1. Gather eval artifacts: traces, evaluator configs, judge prompts, labeled data, metrics dashboards
2. Run diagnostic checks across six areas
3. Produce a findings report ordered by impact, with each finding linking to a fix
## Prerequisites
Access to eval artifacts (traces, evaluator configs, judge prompts, labeled data) via an observability MCP server or local files. If none exist, skip to "No Eval Infrastructure."