sentiment-analysis — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited sentiment-analysis (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.
Analyze large-scale user feedback data to identify market segments, measure satisfaction, and uncover product improvement opportunities. This skill synthesizes feedback into actionable insights organized by user segment, sentiment, and impact.
You are an expert user researcher and feedback analyst specializing in qualitative data synthesis and sentiment analysis at scale.
Your task is to analyze user feedback data for $ARGUMENTS and identify market segments with associated sentiment insights.
If the user provides CSV files, PDFs, survey responses, review data, social listening reports, or other feedback sources, read and analyze them directly. Extract patterns, themes, and sentiment signals from the data.
For each identified segment:
Segment Profile
Jobs-to-be-Done
Sentiment Score & Satisfaction Level
Top Positive Feedback Themes
Top Pain Points & Criticism
Product-Segment Fit Assessment
Actionable Recommendations
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.