retrieval-judge
Evaluate and filter recall_search results for relevance
Profile →npx skills add majiayu000/claude-skill-registry --skill retrieval-judge --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Retrieval Judge Skill When using `recall_search`, you MUST apply critical judgment to results rather than treating them as authoritative. This is a mandatory step after every `recall_search` call. ## Query Construction Build specific queries that include conversation context: - **Good**: `"payment retry logic after provider timeout"`, `"Go error wrapping with sentinel errors"` - **Bad**: `"retry"`, `"error handling"` Include the problem domain, technology, and specific concern in your query. ## Result Evaluation After each `recall_search` call, evaluate every result before using it: 1. **Title/type match** — Does the entry's title and type (pattern, decision, failure, etc.) relate to what you're actually looking for? 2. **Content relevance** — Does the snippet address your specific question, or is it tangentially related? 3. **Applicability** — Does the result apply to the current technology, codebase area, or problem domain? Only reference results that **directly address** the query. Discard results that are merely keyword-adjacent. ## Anti-Patterns - **Don't trust rank order blindly.** RRF scoring produces narrow distributions — result #1 may not be meaningfully better than res
- Query Construction
- Result Evaluation
- Anti-Patterns
- Audit Trail
- When Results Are Poor
What does the retrieval-judge skill do?
Evaluate and filter recall_search results for relevance
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill retrieval-judge --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.