mcp-engine-schema-authoring — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited mcp-engine-schema-authoring (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.
Physical model structure work through manage_schema. Keep edits explicit, ordered, and dependency-aware.
list_model { "operation": "list", "spec": { "type": "tables" } }, then repeat for columns and relationships (spec.type takes exactly one value per call).manage_dependencies { "operation": "used_by", "spec": { "target": { "type": "column", "table": "<table>", "name": "<column>" } } } (spec.target is required on every call, with the object's singular type); { "operation": "summary", "spec": { "target": ... } } to gauge impact breadth.manage_model_changes { "operation": "pin_checkpoint", "name": "before-<edit>" } (name is required), and prefer dry_run: true on the write.manage_schema operation (create_table, update_column_properties, create_calc_column, create_relationship, create_hierarchy, create_partition, refresh_partition, …) with per-item identifiers inside each bulk item.run_query { "operation": "execute", "query": "<validation query>" } that exercises the changed relationship, column, or partition.After schema work, report:
dry_run or transaction was used and the outcome.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.