Content
81%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 highly actionable with executable commands, a clear validated workflow, and strong debugging guidance. It leans slightly verbose in the longer prose sections, and the reference-heavy material could be split into one-level-deep files to ease navigation.
Suggestions
Tighten the long compound sentences in workflow steps 6-16 (e.g., widget-hold, wheel, pinch) into shorter statements or a table of command/semantics/failure-reason columns to improve conciseness.
Move the dense file-protocol field descriptions (snapshot.txt/windows.txt/command.txt/bridge-response.txt) into a short reference table rather than inline prose paragraphs.
Consider extracting the detailed screenshot determinism semantics and the 16-step workflow into a one-level-deep reference file (e.g., references/commands.md) to keep SKILL.md as a lean overview pointing to detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and assumes competence, but several sections (the 16-step workflow with long compound sentences, the file-protocol field descriptions) carry over-explanation that could be tightened into shorter prose or tables. | 3 / 5 |
Actionability | Fully executable, copy-paste-ready commands throughout ("native automate wait", "native automate assert 'gpu_nonblank=true'", a complete bridge JSON example, screenshot commands), covering the common cases. | 5 / 5 |
Workflow Clarity | A clear numbered Standard workflow is paired with explicit validation ("automate assert" polls and prints missing patterns, bridge error codes, protocol-mismatch rebuild guidance) and feedback loops for error recovery and stale-instance debugging. | 5 / 5 |
Progressive Disclosure | Well-organized single file with clear section headers and a self-contained overview; structure is good but the ~250-line body is substantial for one file with no one-level-deep reference files to offload the denser reference material. | 4 / 5 |
Total | 17 / 20 Passed |