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 lean, actionable reference with concrete JSON tool-call examples, a clear numbered UIA loop, and built-in verification/error-recovery checkpoints. Content is well-sectioned with no need for external references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, domain-specific reference material with copy-paste JSON examples and no padding about concepts Claude already knows; every section earns its place. | 3 / 3 |
Actionability | Provides fully executable computer_use_remote tool-call JSON examples plus an enumerated list of operations and targeting options, giving copy-paste-ready guidance. | 3 / 3 |
Workflow Clarity | The 'Preferred loop' is an explicit numbered sequence with a fallback, backed by fresh-snapshot feedback loops on ambiguity/missing-target and an explicit verification checkpoint ('UIA actions are attempts, not proof... inspect that image'). | 3 / 3 |
Progressive Disclosure | No bundle files are provided and none are needed; the body is organized into clear sections (Targeting, Session Caveats, Geometry), which per the simple-skill guideline earns a top score. | 3 / 3 |
Total | 12 / 12 Passed |