data-quality-and-contract-testing — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited data-quality-and-contract-testing (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Data work is not complete when code runs. It is complete when source assumptions, output contracts, and quality checks prove the behavior is correct.
Do not use this only as a final cleanup step. It should guide implementation from the start.
Capture:
Common validations:
If an incident or defect exists, write the failing validation or test before changing the pipeline.
Evidence may include:
| Rationalization | Reality |
|---|---|
| "The warehouse query looks right." | Visual inspection does not scale and misses edge cases. |
| "We will add checks after the model stabilizes." | Unchecked pipelines create low-trust data and harder incident response. |
| "A successful job means the data is valid." | Jobs succeed while still producing incorrect or incomplete data. |
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.