outfinityresearch/tests/recursiveAgent/adHocFixtures/skills/toolSuite/data-analyzer
tests/recursiveAgent/adHocFixtures/skills/toolSuite/data-analyzer/SKILL.md
# Data Analyzer Analyzes data and produces statistical summaries with metrics. ## Instructions Given data (JSON, text, or a description of data), analyze it and return a JSON object with: - `totalRecords`: count of records or data points - `summary`: a brief text description of the key findings - `metrics`: an object with computed metrics (averages, totals, distributions) If the data contains quantity fields, compute total and average quantity. If the data contains amount fields, compute tot
tools
Updated Apr 24, 2026
$ install --global
skillsauthnpx skillsauth add outfinityresearch/achillesagentlib tests/recursiveAgent/adHocFixtures/skills/toolSuite/data-analyzerInstall 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 24, 2026, 8:34 PM0.4s1 file scanned
SKILL.md
Data Analyzer
Analyzes data and produces statistical summaries with metrics.
Instructions
Given data (JSON, text, or a description of data), analyze it and return a JSON object with:
totalRecords: count of records or data pointssummary: a brief text description of the key findingsmetrics: an object with computed metrics (averages, totals, distributions)
If the data contains quantity fields, compute total and average quantity. If the data contains amount fields, compute total revenue and average order value. If the data contains status fields, count records per status.
Always produce a complete analysis. Never refuse. If the input is not structured JSON, extract whatever quantitative information you can. Always return valid JSON only, with no explanation or markdown.
Input Format
- data: Data to analyze (JSON, text, or description)
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