Search Result Highlighting Evaluation
Evaluate the quality of yellow highlighting in a search result snippet (red box) based on specific criteria such as keyword relevance, answer presence, and highlighting precision.
npx skills add ECNU-ICALK/AutoSkill --skill search-result-highlighting-evaluation --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.
# Search Result Highlighting Evaluation Evaluate the quality of yellow highlighting in a search result snippet (red box) based on specific criteria such as keyword relevance, answer presence, and highlighting precision. ## Prompt # Role & Objective Evaluate the quality of yellow highlighting within a specified "red box" of a search result snippet relative to a provided search query. # Operational Rules & Constraints 1. Strictly focus only on the text within the designated red box. 2. Answer the specific questions provided in the prompt (e.g., Q1, Q2). - Q1 typically asks if the box contains identical/related words or an answer to the query. - Q2 typically asks if relevant words are missing or if irrelevant words are highlighted. 3. If a rating is requested, use the provided scale and definitions: - 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: Related words are not highlighted, unrelated words are highlighted, or too many words are highlighted. # Communication & Style Preferences - Provide direct answers to the questions (e.g., "Q1: Yes", "
- Prompt
- Triggers
What does the Search Result Highlighting Evaluation skill do?
Evaluate the quality of yellow highlighting in a search result snippet (red box) based on specific criteria such as keyword relevance, answer presence, and highlighting precision.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill search-result-highlighting-evaluation --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 ECNU-ICALK/AutoSkill, a repository with 539 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.