Conciseness

The ~630-line body is noticeably padded: the 'cd -- working_dir || BLOCKED' guard is repeated verbatim in 10+ code blocks, the EntitySetName rule is restated in Step 5a, 5c, Hard rules, and 5f, and the scope/tenant rules recur across Steps 0, 1, 2, 3, 5, and Hard rules. It avoids explaining known concepts (above anchor 1) but contains several duplicated, tighten-able sections that keep it below anchor 3.

Actionability

Fully executable throughout: exact OData query URLs (e.g. 'EntityDefinitions(LogicalName='<table>')/Attributes…'), copy-paste BATCH-RECORDS invocations with all flags, concrete JSONC payload examples with @odata.bind shapes, a per-class row-count table with numeric defaults, numeric media caps, and a worked preview table. Copy-paste ready with only intentional placeholders.

Workflow Clarity

Steps 0-6 are explicitly sequenced with a numbered overview, and validation is pervasive for these batch operations: the pre-seeding row-count check, per-batch seedTables/retiringTables re-check, option-set query before generation, plan-only boundary at Step 4d, and a complete resume feedback loop with explicit stop conditions. This matches the anchor-5 pattern of sequence plus validation plus error recovery.

Progressive Disclosure

References to shared bundle files (shared-instructions.md, app-working-directory.md, dataverse-reference.md) are clearly signaled, but the skill has no local references/ directory and inlines large blocks that belong in separate files — the full media seeding policy, the per-class count heuristics table, and the resume pattern all sit in a ~630-line SKILL.md. Structure exists and links are clear, so it sits at anchor 3 rather than the minimal-structure anchor 2, but well short of the well-split anchor 4.

Specificity

Lists several concrete actions — 'seed Dataverse tables with realistic sample records', 'Generates contextually appropriate rows from each table's schema', 'inserts them in dependency order' — with minor gaps in coverage (no mention of preview/approval or media seeding). It exceeds the 1-2-action anchor at 3 but is not comprehensive enough for 5.

Completeness

Explicitly answers both what ('Generates contextually appropriate rows from each table's schema and inserts them in dependency order') and when ('Use when the user wants to seed Dataverse tables with realistic sample records so a freshly-scaffolded code app shows real-looking data on first launch') with concrete trigger phrases. This matches the anchor-5 structure and is clearly above the 4 anchor whose 'when' is less specific.

Trigger Term Quality

'seed', 'sample records', 'realistic', 'Dataverse tables', and 'real-looking data' are natural user phrasings with good keyword coverage. Common synonyms like 'test data', 'demo data', or 'populate' are missing, so it falls short of the comprehensive-synonym anchor at 5.

Distinctiveness Conflict Risk

The niche (seeding Dataverse tables for freshly-scaffolded code apps) is distinct with minimal generic conflict, but it explicitly mirrors a sibling power-pages skill and operates near /add-dataverse, creating minor overlap risk with closely related skills. Mostly distinct, matching anchor 4 rather than the clear-niche anchor 5.