Content
100%Reviews 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 playbook: concrete commands and thresholds, a clearly sequenced verification loop with feedback recovery, and well-signaled references to real bundled scripts. It assumes Claude's competence and adds only non-obvious domain judgment.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense with no concept explanations Claude already knows; every section (Zero-Defect Bar, Golden Rules, three-channel verification, Beautify, failure-mode table, anti-patterns) earns its tokens with actionable specifics rather than padding. | 3 / 3 |
Actionability | Provides fully executable guidance: `location.reload()`, a CDP metrics override (1440x900, deviceScaleFactor: 2), concrete variance thresholds (>200 / <50 / bgRatio > 0.97), a vision JSON rubric, and a copy-paste `node scripts/beautify.mjs` invocation with flags — all referencing real bundled scripts. | 3 / 3 |
Workflow Clarity | The capture loop is clearly sequenced (clean reload → navigate UI → leaf cleanup → verify → capture) with explicit validation checkpoints across all three channels and a feedback loop ('If any_obvious_defect is true ... Diagnose, fix the root cause ... recapture'). | 3 / 3 |
Progressive Disclosure | SKILL.md is a well-sectioned overview that signals one-level-deep references to real bundle files (`screenshot-verify.mjs`, `capture-verify.mjs`, `scripts/beautify.mjs`, all present in scripts/) at the relevant points, keeping full script contents out of the main file. | 3 / 3 |
Total | 12 / 12 Passed |