openclaw/survey-analysis
1477009639zw-blip/betasurvey/SKILL.md
AI-powered survey response analysis. Analyzes open-ended survey responses, clusters themes, detects sentiment, and generates actionable insights. Uses BERTopic + GPT-4o-mini.
$ install --global
skillsauthnpx skillsauth add openclaw/skills survey-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 3, 2026, 2:19 AM95.0s1 file scanned
SKILL.md
Survey Response Analysis Tool
AI-powered analysis of open-ended survey responses. Clusters themes, detects sentiment, generates actionable insights.
Usage
python3 analyze.py --input responses.csv --output report.md
Input CSV Format
respondent_id,response
1,"The product is great but delivery is slow"
2,"Amazing quality, fast shipping"
3,"Good but expensive"
Output
# Survey Analysis Report
## Sentiment Distribution
- Positive: 60%
- Neutral: 25%
- Negative: 15%
## Top Themes
1. Delivery Speed (mentioned 45%)
2. Product Quality (mentioned 38%)
3. Price Value (mentioned 22%)
## Action Items
- Improve delivery logistics
- Maintain quality standards
Notes
Requires: python3, pandas, openai (or Anthropic API key)
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