Data Validator Pro
PassAudited by ClawScan on May 7, 2026.
Overview
This appears to be a straightforward local data validation toolkit, with only a minor dependency-versioning caveat.
This skill is reasonable to use for local tabular data validation. Before installing, use a trusted Python environment and consider pinning pandas/numpy versions if reproducibility matters. Be mindful that profiling reports may include summaries or example values from your data if you choose to print or share them.
Findings (1)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
A future dependency version could behave differently from what the author tested, though the dependency use is purpose-aligned and no automatic or hidden install behavior is shown.
The dependencies are specified with lower-bound ranges rather than exact pinned versions or hashes, so installations may resolve to newer package versions over time.
pandas>=2.0.0 numpy>=1.24.0
Install in a virtual environment and consider pinning or locking dependency versions for sensitive or production use.