Agent skill
eval-audit
Audit an existing evaluation workflow and produce severity-ranked findings with concrete next actions. Use when inheriting an eval setup, diagnosing quality regressions, or checking LLM evaluation process maturity.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/eval-audit
SKILL.md
Eval Audit
Audit LLM evaluation practice and route gaps to the right skills.
Interactive Q&A protocol (mandatory)
Ask one question at a time using the structured question tool (loaded per the HARD-GATE above).
Example question structure:
What should this audit prioritize first?
A) Live evaluation quality and coverage
B) Error analysis maturity
C) Review and promotion loop health
D) End-to-end process health
Rules:
- One question per message.
- Use the structured question tool for every question. Structure each with a short header, 2-4 options with labels and descriptions, and place the recommended option first. Do not add "(Recommended)" or similar annotations to option labels.
- Ask one follow-up only if ambiguity remains.
Inputs and evidence
Collect available evidence from Truesight first:
- datasets and dataset rows
- live evaluations
- evaluation runs/results
- review queue items
- existing evaluation criteria and deployment patterns
If evidence is missing, record that as a finding.
Diagnostic areas
- Evaluation coverage and quality dimensions
- Error analysis practice and category quality
- Review and promotion workflow discipline
- Template usage versus custom needs
- Operational hygiene (verification, reruns, iteration cadence)
Report format (mandatory)
For each finding, include:
### <Finding title>
Status: Problem exists | OK | Cannot determine
Evidence: <specific evidence from Truesight context>
Severity: critical | high | medium | low
Recommended skill: <one of current skill set>
Next command: <concrete instruction to run next>
Order findings by severity and impact.
Severity rubric
- critical: likely causes incorrect go/no-go decisions or severe user harm
- high: frequent quality failures or missing control loops
- medium: meaningful process weakness with moderate impact
- low: optimization opportunity, documentation, or ergonomics issue
Handoff map
- Missing or weak failure taxonomy ->
error-analysis - Missing live evaluation coverage ->
create-evaluationorbootstrap-template-evaluation - Review backlog or low judgment throughput ->
review-and-promote-traces - Unclear starting path ->
truesight-workflows
Guardrails
- Keep scope within current Truesight MCP capabilities.
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