Score assistant responses for clarity on a strict 1-5 scale, then return strict JSON only with score, rationale, and improvement suggestions. Use when the user asks to evaluate clarity, grade clarity, or critique clarity quality.
Resources
1Install
npx skillscat add whitespectre/ai-assistant-evals/eval-clarity Install via the SkillsCat registry.
Eval Clarity
Use this skill to evaluate how clear and understandable an assistant response is.
Inputs
Require:
- The assistant response text to evaluate.
Internal Rubric (1–5)
5 = Structured, unambiguous, direct answer, minimal fluff
4 = Mostly clear, minor ambiguity or verbosity
3 = Understandable but lacks structure or precision
2 = Vague, missing key steps, hard to follow
1 = Confusing, contradictory, or unclear
Workflow
- Assess structure, precision, and readability.
- Score clarity on a 1-5 integer scale using the rubric only.
- Write concise rationale tied directly to rubric criteria.
- Produce actionable suggestions that improve clarity.
Output Contract
Return JSON only. Do not include markdown, backticks, prose, or extra keys.
Use exactly this schema:
{
"dimension": "clarity",
"score": 1,
"rationale": "...",
"improvement_suggestions": [
"..."
]
}
Hard Rules
dimensionmust always equal"clarity".scoremust be an integer from 1 to 5.rationalemust be concise (max 3 sentences).- Do not include step-by-step reasoning.
improvement_suggestionsmust be a non-empty array of concrete edits.- Never output text outside the JSON object.