Content
86%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 content is lean, highly actionable, and well-sequenced with a strong worked example. Its main weakness is progressive disclosure: several referenced bundle files are missing from the skill bundle.
Suggestions
Create the referenced bundle files (references/visual-design.md, references/accessibility.md, references/platform-specifics.md, scripts/hig_checker.py, templates/hig-audit-template.md) or remove the references.
Add an explicit feedback loop for batch audits scoring below 70 (e.g., 'if score < 70, rework the violations and re-run the batch until >= 70').
Verify the hig_checker.py batch subcommand output shape matches the worked example shown in the body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body that assumes Claude's competence; no padding or explanation of concepts Claude already knows, and every section earns its place. | 5 / 5 |
Actionability | Provides copy-paste-ready executable commands with real expected outputs ('Contrast Ratio: 3.26 [FAILED]'), a concrete batch JSON shape, and a fully worked audit example. | 5 / 5 |
Workflow Clarity | Mode 2 audit is clearly sequenced with tool-based validation and confidence tagging, but there is no explicit failure-recovery loop for batch scores below 70, leaving a minor validation gap. | 4 / 5 |
Progressive Disclosure | Body references one-level-deep files (references/visual-design.md, scripts/hig_checker.py, templates/hig-audit-template.md) but none of these bundle files actually exist, so the disclosure structure is broken. | 3 / 5 |
Total | 17 / 20 Passed |