Content
72%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 concise and well-structured with clean progressive disclosure to real bundle scripts, but it reads as a component manifest rather than actionable instructions — lacking executable examples, an explicit run sequence, and validation checkpoints.
Suggestions
Add a short runnable example showing how to instantiate and start RepoWatcher/ASTParser, or a command that launches the scout.
Make the processing pipeline explicit as numbered steps (watch → filter → debounce → parse → emit) so the sequence is unambiguous.
Include a verification step for confirming ChangeEvents are emitted to the MessageBus, since batch event processing benefits from a feedback checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and well-organized with no padding or explanation of concepts Claude already knows; even the 'zero LLM calls' note earns its place as a non-obvious fact. | 5 / 5 |
Actionability | Concrete structural guidance is present (named files, classes RepoWatcher/ASTParser, libraries watchdog/tree-sitter, a 500ms debounce window, supported extensions) but there is no executable code or invocation example to act on directly. | 3 / 5 |
Workflow Clarity | The capabilities bullet list implies a pipeline (watch → filter → debounce → parse → emit) but no explicit sequence, invocation steps, or validation checkpoints are given, and the skill is a multi-component pipeline rather than a single unambiguous action. | 3 / 5 |
Progressive Disclosure | Under 50 lines with clear sections and a Scripts manifest pointing one level deep to real bundle files (watcher.py, parser.py, events.py, all present) each with a one-line description, giving easy navigation to implementation detail. | 5 / 5 |
Total | 16 / 20 Passed |