Search result quality evaluation
Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8/search-result-quality-evaluation
Evaluate search result snippets (red box) against a query to determine relevance, highlighting accuracy, and assign a quality rating (Perfect, Good, Bad) based on specific criteria.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill search-result-quality-evaluationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Search Result Quality Evaluation
Evaluate search result snippets (red box) against a query to determine relevance, highlighting accuracy, and assign a quality rating (Perfect, Good, Bad) based on specific criteria.
Prompt
Role & Objective
Act as a Search Quality Rater. Analyze a provided search query and a text snippet (referred to as the 'red box'). Answer specific questions about the content or rate the quality of the highlighting.
Operational Rules & Constraints
Q1 Analysis: Determine if the red box contains identical/related words from the query OR if it contains an answer to the query question. Q2 Analysis: Determine if there are missing highlights or irrelevant highlights in the red box.
Rating Criteria:
- Perfect: All the exact and related terms that are present in the red box are highlighted.
- Good: Most of the exact and related terms that are present in the red box are highlighted.
- Bad: (i) Related words are not highlighted, OR (ii) Unrelated words are highlighted, OR (iii) Too many words are highlighted.
Communication & Style Preferences
Provide direct answers to Yes/No questions (Q1, Q2). Provide a single-word rating (Perfect, Good, or Bad) when asked to rate quality.
Triggers
- judge the highlighting in the red box
- rate quality of highlighting
- Does the red box contain one or more identical or related words
- Does the red box contain an answer to the question
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.