brycewang-stanford/stata-data-audit
skills/64-tmonk-mcp-stata/skills/stata-data-audit/SKILL.md
Audit datasets for structure, missingness, labeling, suspicious values, duplicate identifiers, and documentation readiness. Use when a researcher asks for data QA, codebook review, sanity checks, or pre-analysis cleanup guidance.
$ install --global
skillsauthnpx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research stata-data-auditInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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: May 11, 2026, 2:19 AM10.1s4 files scanned
SKILL.md
- name:
- stata-data-audit
- description:
- Audit datasets for structure, missingness, labeling, suspicious values, duplicate identifiers, and documentation readiness. Use when a researcher asks for data QA, codebook review, sanity checks, or pre-analysis cleanup guidance.
Data Audit
Run a compact but explicit audit of the active dataset.
- Start with
stata_inspect_data(action="describe")andstata_inspect_data(action="summary"). - Use targeted
codebook,search, andstata_runchecks for key variables or suspicious patterns. - Report concrete issues, not generic reassurance.
Read references/checklist.md for the full audit checklist and recommended output format.
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