Content
78%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.
The body is a well-structured, information-dense workflow that relies appropriately on one-level-deep reference files and provides concrete, actionable guidance throughout. The main improvement is reducing minor redundancy between the inline field lists and the platform 'Key Facts' sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, domain-specific reference data (exact char/byte limits, Vitals thresholds, indexing rules) with no padding or explanation of concepts Claude already knows; minor overlap between the Phase 1 field lists and the 'Key Facts' sections keeps it just below a 5. | 4 / 5 |
Actionability | Guidance is concrete throughout — URL regex patterns, 'site:apps.apple.com' search strings, explicit scoring weights, grade thresholds, and the 'Change subtitle from X to Y with char counts' rule — but full scoring criteria live in reference files, so the SKILL.md alone is not fully copy-paste executable. | 4 / 5 |
Workflow Clarity | A clear four-phase sequence (Fetch, Brand Maturity, Score, Report) with checkpoints (tier gating before scoring, handling incomplete WebFetch data) and a Common Issues Checklist; this is a read-only audit so the destructive-op validation cap does not apply, but a few validation steps are implicit rather than explicit. | 4 / 5 |
Progressive Disclosure | SKILL.md acts as an overview with five real, one-level-deep reference files (scoring-criteria, apple-specs, google-play-specs, benchmarks, report-template), each clearly signaled inline with a description of its contents; bulk detail is appropriately split out and navigation is easy. | 5 / 5 |
Total | 17 / 20 Passed |