data-platform-operating-model-and-service-ownership — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited data-platform-operating-model-and-service-ownership (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.
Use this skill when the hard problem is organizational and operational, not just technical. It helps agents define who owns platform capabilities, how teams onboard safely, what the golden paths are, and how support, escalation, and service boundaries work across a shared data platform.
Do not assume a good architecture will operate well if the ownership model is vague.
List:
Clarify:
Cover:
Include:
The operating model should be visible in docs, runbooks, and actual platform workflows, not just organization charts.
| Rationalization | Reality |
|---|---|
| "Everyone owns quality." | Shared responsibility with no explicit owner usually means no one acts quickly enough. |
| "The platform team can handle anything." | Undefined service boundaries create burnout, delays, and unsafe tribal processes. |
| "We can formalize the golden path later." | Without an explicit adoption path, teams create inconsistent local patterns that are harder to govern. |
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.