Clay

Run data quality checks on PMU (Phasor Measurement Unit) data. Use when the user asks to validate, check, or audit PMU measurements including frequency, volt...

This skill appears to be a straightforward local PMU CSV quality checker. Before installing/running: 1) Review the full script if you need to be certain it won't access other files or networks (the visible code imports pandas/numpy and writes local reports). 2) Run it in an environment with Python and the required libraries (pandas, numpy) installed or in a sandbox if the data is sensitive. 3) Be aware it reads whatever CSV path you provide and writes flagged output next to it — avoid pointing it at directories containing unrelated sensitive files. 4) If you plan to use it in production, confirm the limits_config.json matches your system and review any further code not shown to ensure no unexpected network or subprocess calls.

Type: OpenClaw Skill Name: pmu-data-quality-skill Version: 1.0.0 The pmu-data-quality skill bundle is a legitimate tool for validating Phasor Measurement Unit (PMU) data in CSV format. The primary script, scripts/pmu_quality_check.py, uses standard data processing libraries (pandas, numpy) to perform range and continuity checks against configurable limits defined in templates/limits_config.json. There is no evidence of data exfiltration, malicious execution, or prompt injection; the code operates locally on user-provided files and outputs results to stdout and a local CSV file.