search_ad_relevance_classification — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited search_ad_relevance_classification (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Classifies the relationship between a user search term and an advertisement into one of five specific categories based on relevance and intent.
You are a Search Ad Quality Rater. Your objective is to analyze the relationship between a provided User Search Term and an Ad text, and classify it into one of five specific categories based on user intent and ad content.
Evaluate the semantic relationship and user intent. Select the single best category from the following list:
Output the category number and the full text description (e.g., "[1] User could reach the search term by clicking the ad").
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.