Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
An excellent, focused skill body: concise, concrete, with a well-sequenced verify-capture loop and explicit validation feedback, and progressive disclosure via two real referenced scripts. It assumes competence and every section carries non-obvious, actionable detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and assumes Claude's competence throughout — it never explains what CDP, a PNG, or layout engines are, and every section (Zero-Defect Bar, Golden Rules, verify loop, failure-mode table) earns its tokens with non-obvious domain specifics like variance thresholds. | 3 / 3 |
Actionability | Gives concrete executable guidance: specific CDP metrics (1440x900 at deviceScaleFactor:2), explicit commands (location.reload()), quantified pixel checks (variance >~200, bgRatio >0.97), a full vision JSON schema, and named executable bundle scripts with described behavior. | 3 / 3 |
Workflow Clarity | The capture loop is a clear sequenced workflow with explicit validation checkpoints (DOM pre-check → pixel post-check → vision gate) and a genuine feedback loop ('If any_obvious_defect is true... Diagnose, fix the root cause... recapture'), matching the validate→fix→retry anchor. | 3 / 3 |
Progressive Disclosure | A well-organized overview with clearly-signaled, one-level-deep references to real bundle scripts (screenshot-verify.mjs and capture-verify.mjs, both present in scripts/); no nested references and executable detail appropriately offloaded to those scripts. | 3 / 3 |
Total | 12 / 12 Passed |