Conciseness

The body is dense and assumes domain competence (no 'what is SwiftData' filler), but there is trimmable material: five near-identical Invocation Examples, a Scope section that restates the description, and repeated 'Read matching files; check...' phrasing across patterns. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened' — above anchor 2 (no padded concept explanations) but below anchor 4 because whole sections (Invocation Examples, Scope) could be cut with no capability loss.

Actionability

Detection guidance is fully executable — verbatim grep regexes per pattern, quantitative thresholds ("5+ indexes", "batches of 100-500"), and code fixes like "@Relationship var tags: [Tag] = []" — matching 'mostly executable guidance with minor gaps'. Not 5 because several fixes are directional prose only (e.g. Pattern 3 'Move data access into willMigrate', Pattern 4 'Create a dedicated background ModelContext') without the code example the output format itself demands of findings.

Workflow Clarity

Five phases are explicitly sequenced (map → detect → completeness → cross-reference → score) with a validation checkpoint after every detection step ('use Read to verify the surrounding context before reporting — grep patterns have high recall but need contextual verification'), plus a False Positives list and output limits as error-recovery guardrails. This matches the top anchor: clear sequence, explicit validation steps, and checklists for a complex process.

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent) and the entire ~300-line content is inlined in SKILL.md. Section structure itself is good (clear headers, tables), but content that clearly belongs in separate files — the 9-pattern detection catalog, the Phase 3 completeness table, and the invocation examples — is all inline, matching 'some structure but could be better organized; content that should be separate is inline'. Not 2 because headers and cross-references make it navigable; not 4 because nothing is split out despite the length (the under-50-lines simple-skill exception does not apply here).

Specificity

The description names the domain and sub-areas concretely ("SwiftData review, @Model issues, SwiftData migration safety, or SwiftData performance checking") but the verbs are generic — "review" and "checking" — matching 'names domain and 1-2 concrete actions, but not comprehensive'. It is above anchor 2 ('actions minimal or generic', e.g. 'Processes PDF files') because @Model/migration/performance scope the domain specifically, but below anchor 4 because no distinct audit actions (detect anti-patterns, verify schema registration, score health) are listed.

Completeness

The entire description is a single 'when' clause ("Use when the user mentions...") with no 'what' — what the skill actually does (audits, detects, reports) is only weakly implied by the trigger nouns. This matches anchor 2, 'only when is present without what'. It does not reach 3 because the 'what' is never stated, even vaguely, as a capability statement.

Trigger Term Quality

"SwiftData review", "@Model", "SwiftData migration safety", and "performance checking" are natural phrases a user with this need would say (e.g. 'check my SwiftData migrations'), matching 'good keyword coverage; a few natural terms missing'. Not 5 because common variations users would say are absent — 'Swift Data' spacing, ModelContainer, CloudKit sync, relationships/crashes, or a .swift/SwiftUI-adjacent phrasing.

Distinctiveness Conflict Risk

"SwiftData" is a precise, unambiguous technology name with specific sub-triggers (@Model, migration safety), giving a clear niche with minimal conflict risk — sibling skills like a Core Data or CloudKit auditor would trigger on their own distinct terms. It is not 4 because no plausible wrong-skill trigger is identifiable from the description itself.