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.
A well-structured, highly actionable guide with concrete tool-call examples, explicit validation checkpoints, and error-recovery loops. Its main weakness is mild verbosity in the framing prose and a monolithic single-file layout that could benefit from offloading detail to reference files.
Suggestions
Trim the 'Core mindset' narrative to the operational rule (Survey first, especially on self-drawn UIs) and drop the human-analogy framing to save tokens.
Move the full Survey response sample and/or the six worked flows into a one-level-deep reference file (e.g. FLOWS.md), keeping SKILL.md as a tighter overview with signaled pointers.
The Rules and Error diagnosis sections overlap; consolidate into a single concise reference to reduce redundancy.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete tool calls and a compact inventory table, but the 'Core mindset' prose ('When a human opens an unfamiliar app they look around first…') is mild over-explanation that could be trimmed without losing the operational guidance. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready tool invocations throughout (e.g. 'MacosAct { type: "intent", app: "WeChat", intent: "open_moments" }') with six worked flows (A–F) covering the common cases and exact error codes. | 5 / 5 |
Workflow Clarity | Clear three-phase sequence (Survey → Plan → Act+Verify) with explicit validation (Observe after every MacosAct) and feedback loops in the Error diagnosis section (WINDOW_CHROME_BLOCKED fallbacks, re-observe on no effect), satisfying the validation requirement for risky GUI operations. | 5 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections that make navigation easy, but it is a single ~180-line file with no external reference files; the detailed survey-response sample and six worked flows are inlined rather than split into one-level-deep references. | 4 / 5 |
Total | 18 / 20 Passed |