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.
A well-organized, actionable skill body with a clear multi-step workflow, an executable reference implementation, and clean progressive disclosure into one reference file. Minor gains available from tightening framing prose and making the post-fix verification checkpoint explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and efficient — it never explains concepts Claude already knows (what WCAG/axe/CI gates are) and every section is functional — but a few framing sentences ('The shrinking baseline counter is the positive signal...') and the Overview problem-setting could be trimmed slightly. | 4 / 5 |
Actionability | Provides a fully executable, copy-paste-ready Python gate script for axe-core plus concrete JSON record and baseline shapes; the other four scanners are specified via field mappings in the reference rather than as copy-paste code, leaving a minor gap. | 4 / 5 |
Workflow Clarity | Clear five-step sequence with a gate-decision checkpoint, an explicit feedback loop in Step 5 (PR fails → fix or debate → regenerate baseline), and an anti-patterns checklist, but post-fix re-verification and the quarterly review are soft rather than hard checkpoints. | 4 / 5 |
Progressive Disclosure | Well-structured overview with scanner shapes and the full PR artifact template moved to a single one-level-deep reference (references/gate-implementation.md), referenced inline with context and easy to navigate. | 5 / 5 |
Total | 17 / 20 Passed |