Content
88%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.
An excellent, highly actionable workflow: exact MCP tool names, concrete numeric adjustments, validation checkpoints, and error-recovery loops throughout. The only minor improvements are trimming a few redundant lines and moving scene-specific example data out of the main body.
Suggestions
Remove restatements of step headings (e.g., "This orients the headset to face the target") and obvious connective instructions like "Note the position for the next steps".
Move scene-specific example data (entityIndex 6, scoreboard coordinates) to a short reference file to keep SKILL.md as a lean, game-agnostic overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and tool-focused with no concept explanations, but contains minor trimmable restatements like "This orients the headset to face the target" and "Note the position for the next steps". | 4 / 5 |
Actionability | Every step names an exact tool (e.g., mcp__iwsdk-runtime__xr_select) with concrete parameters, specific numeric offsets (+0.25/-0.1/-0.3), retry deltas (0.05-0.1), and a concrete log pattern ("[BUTTON CLICKED]") — fully executable guidance. | 5 / 5 |
Workflow Clarity | Eight clearly sequenced steps include explicit validation checkpoints (screenshot at step 4, console-log check at step 8) and feedback loops for error recovery (moveToDistance fallback, adjust-position-and-retry). | 5 / 5 |
Progressive Disclosure | Sections are well-organized with no nested references and everything sits appropriately in one file, but at ~84 body lines it exceeds the under-50-line inline-only ideal, and scene-specific data (entityIndex 6, pong coordinates) is inlined rather than split into a reference file. | 4 / 5 |
Total | 18 / 20 Passed |