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Search Result Eval

Score a search result set for relevance before an agent trusts it.

Single skill Verified 11 Nov searchevaluationrag

Use it for

Agents that call search and need to know whether the results are any good

Skip it if

Judging the search engine itself — it scores one result set, at one moment

What it is

Given a query and the returned results, it labels each result relevant, partial, or off-topic, with a one-line reason. The pattern that matters is the refusal: if fewer than two results are relevant, the skill reports a weak result set instead of letting the agent synthesise from noise.

Install

Clone the repository, then copy the skill folder into your agent's skills directory — ~/.claude/skills/ for Claude Code. Skills are plain files: no build step, no daemon.

Terminal
npx skills add search-result-eval

How to judge it

Read the SKILL.md before you install. A good skill states when it applies, what it must not do, and how to verify the result. A skill that only lists adjectives will change the agent's tone without improving its output — skip those.

Other Search & Research skills

  • SERP Gap Analysis — Compare the top results for a query and list what they all leave out.
  • Query Expansion — Turn one question into three queries that cover different phrasings.
  • Scientific Agent Skills — A large scientific skill library: bioinformatics, chemistry, clinical, analytics.

Tools it pairs with

All tools

Servers it runs on

All servers
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