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.
The body is an exemplary operational skill: fully executable commands, a 9-step workflow with explicit completion checkpoints, and dense domain-specific signal interpretation. Only progressive disclosure leaves room, as the interpretive reference material could be split into a separate file.
Suggestions
Consider moving the 'Signals' table and 'Caveats' list into a references/ file (e.g. interpreting-outputs.md) and signaling it one level deep from SKILL.md, keeping the workflow lean while preserving the detail.
The 'How backtrack schedules runs' mechanics block is the most volatile section; a short pointer to where to verify (already named) could let this section live in a reference and stay lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense but substantive: it assumes Claude's competence (no basic explainers for GPS or Doze) and every section carries domain-specific signal interpretation Claude would not know, with only minor trims possible. | 4 / 5 |
Actionability | It provides copy-paste-ready adb and python3 commands with concrete argument forms, a script-by-script table of what each shows, and a complete output-format template covering the common cases. | 5 / 5 |
Workflow Clarity | The 9-step workflow is clearly sequenced with explicit 'This step is complete when...' checkpoints at every step, plus error-handling guidance (multi-device selection, stale windows), giving checklist-grade validation for a read-only task. | 5 / 5 |
Progressive Disclosure | Content is well-sectioned (Session, Scripts, Workflow, Interpreting the Outputs, Output Format) with clearly signaled script references in a table, but the large Signals/Caveats interpretive block is inlined in SKILL.md rather than split into a one-level-deep reference file. | 4 / 5 |
Total | 18 / 20 Passed |