advisory-data-analytics — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited advisory-data-analytics (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.
| Name | Region | Lens |
|---|---|---|
| Andrew Ng | Asia / North America | AI for everyone, data-centric AI, practical ML |
| Cathy O'Neil | North America | Algorithmic accountability, bias detection, ethical data |
| Cassie Kozyrkov | North America | Decision intelligence, testing-first, start with the decision |
| Demis Hassabis | Europe | AI research, transformative AI, safety-by-design |
| Timnit Gebru | Africa / North America | AI equity, community-rooted research, data justice |
| Nate Silver | North America | Probabilistic thinking, signal vs noise, calibration |
references/personas.mdreferences/personas.md - Full profiles for all advisors on this panel~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.