Content
92%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-engineered skill body: actionable tables and GOOD/BAD examples, explicit decision procedures, excellent one-level-deep progressive disclosure with real reference files, and a verification checklist. The only weakness is token redundancy — the Review Checklist and TOC largely restate content already present, which costs tokens without adding new guidance.
Suggestions
Trim or compress the Review Checklist (lines 272-299) so each item is a short verification cue rather than a restatement of the rule, or move the full checklist into a reference file and keep a pointer plus category headers in SKILL.md.
Remove the 10-line Contents table of contents; the section headings are already self-describing and the list duplicates them token-for-token.
The two similar remove(at:) GOOD/BAD pairs in the Clarity section (lines 145-161) illustrate nearly the same point — merge them into one example pair and keep only one differing one.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with rules and GOOD/BAD examples and never explains basics Claude already knows, but there is trimmable redundancy: the ~28-line Review Checklist ("First argument follows the correct label rule…", "Mutating methods use imperative verb form") restates rules already stated in the preceding sections, and the Contents TOC duplicates section headers. This fits the score-4 anchor (efficient, minor instances that could be trimmed) rather than 5, whose "every token earns its place" standard the checklist duplication violates; it is well above 3 because there is no padded or unnecessary explanation. | 4 / 5 |
Actionability | Guidance is fully concrete: decision tables with specific examples ("Omit label, merge words into base name | addSubview(y)"), copy-paste-ready Swift snippets for every rule ("array.sort()", "employees.remove(at: position)"), GOOD/BAD contrast pairs, and explicit decision procedures ("Apply the first matching row"). This matches the score-5 anchor (specific examples cover the common cases) and exceeds score 4 because no key detail is left abstract. | 5 / 5 |
Workflow Clarity | The skill defines clear execution structure for a single-purpose review/design task: routing guidance at the top ("route language/type-system work to swift-language…"), a precedence-ordered decision table ("Apply the first matching row"), per-section "Load … when …" conditions, and a grouped Review Checklist (Argument Labels, Naming Semantics, Documentation, Conventions) that serves as explicit verification checkpoints. Per the simple-skill exception, the single action is unambiguous and checkpoints are present, so it meets the score-5 anchor rather than 4; no destructive or batch operations exist that would impose a cap. | 5 / 5 |
Progressive Disclosure | Structure is exemplary: core rules inline in SKILL.md, four verified one-level-deep reference files (argument-labels-and-parameters.md, naming-and-clarity.md, side-effects-and-mutating-pairs.md, conventions-and-special-rules.md) each linked from its own section with a load condition ("Load [Argument Labels and Parameters]… when resolving abstraction boundaries…") and summarized again in a References section. All referenced paths and the -ed/-ing decision-tree anchor resolve to real files, and no reference nests further references, matching the score-5 anchor exactly. | 5 / 5 |
Total | 19 / 20 Passed |