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.
The body is a tight, actionable workflow with explicit validation feedback loops and well-structured progressive disclosure via a single verified reference. The only minor gap is the absence of a literal command for gallery rebuilding, keeping actionability just short of perfect.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean imperative prose with no padding explaining concepts Claude already knows; every section ('Preserve the useful behavior, not the source page's brand or layout', 'Name skills after the outcome or mechanism') earns its tokens. | 5 / 5 |
Actionability | Concrete commands and templates throughout (`git status --short`, `git diff --cached --stat`, `quick_validate.py`, a folder-structure contract, a PROMPT.md heading template, and an explicit agents/openai.yaml spec), with a minor gap in that gallery rebuild lacks a literal copy-paste command. | 4 / 5 |
Workflow Clarity | An explicit 8-step validation sequence with checkpoints ('Rebuild...then validate again'), a secrets scan, and a commit-review step ('git diff --cached') provide clear feedback loops for the batch/destructive operations the skill performs. | 5 / 5 |
Progressive Disclosure | Well-organized sections with a single one-level-deep, clearly signaled reference ('Read references/example-packages.md for visual, mixed-source, and workflow examples') that resolves to a real file; bulk detail stays inline appropriately. | 5 / 5 |
Total | 19 / 20 Passed |