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.
A highly actionable, well-structured skill body with excellent progressive disclosure via a clear references table and concrete executable commands. The main gap is the absence of an explicit validation feedback loop, though the workflow is non-destructive analysis.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and action-oriented with exact commands and JSON examples, but includes a few trimmable guidance passages such as "Design the grid layout freely... Do NOT follow a fixed template" and explanatory asides like "this catches issues that DOM parsing alone cannot detect". | 4 / 5 |
Actionability | Fully executable guidance throughout — copy-paste-ready playwright-cli commands, exact GSC JSON with a CRITICAL note on array/number types, the extract_page_signals.py invocation with flags, and absolute-path output calls. Common cases are concretely covered. | 5 / 5 |
Workflow Clarity | Clear three-step sequence (check tools in parallel → identify pages → build task list) with an abort-if-Playwright-missing checkpoint and sequenced Output 1 then Output 2, but it lacks an explicit validate→fix→retry feedback loop, leaving minor validation gaps. | 4 / 5 |
Progressive Disclosure | Well-structured overview with a References table mapping each of the 7 reference files (all present on disk) to a "When to read" trigger and path, plus the bundled extract script; references are one level deep and clearly signaled for easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |