skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/data-quality-check/Gen Agent Trust Hub
data-quality-check
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate Python implementations for data quality checking, including regex-based validation and metric calculations for construction datasets.
- [INDIRECT_PROMPT_INJECTION]: The skill processes external data (Excel, CSV, JSON) provided by the user. However, the risk is minimal as the data is used for quantitative analysis and static reporting without being executed or interpolated into sensitive system commands. Sanitization is performed via regex patterns and range checks described in
SKILL.md. - [COMMAND_EXECUTION]: No evidence of arbitrary command execution or shell spawning (
os.system,subprocess, etc.) was found in the provided code blocks. - [DATA_EXFILTRATION]: No network operations (
curl,requests,socket) were detected. The skill interacts with the local filesystem solely for reading data and writing quality reports as requested by the user.
Audit Metadata