Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, actionable workflow with executable commands, explicit validation checkpoints, and real script references. The only meaningful weakness is the repetitive Action/Expectation/Result template, which adds mild verbosity without adding guidance.
Suggestions
Collapse the repeated 'Action: / Expectation: / Result:' scaffolding into direct imperative steps (e.g., '1. Run: python3 scripts/static_analysis.py --build-dir build') to tighten conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids concept-explanation fluff and assumes Claude's competence, but the 'Action: / Expectation: / Result:' template repeated across three steps is mild verbosity that could be tightened into more direct imperatives. | 2 / 3 |
Actionability | It provides fully executable, copy-paste-ready commands ('python3 scripts/static_analysis.py --build-dir build'), concrete SQL query examples, and a complete parameters table with types, defaults, and descriptions. | 3 / 3 |
Workflow Clarity | The three steps are clearly sequenced, each with explicit 'On success / On failure' or 'On zero findings / On findings' validation checkpoints and error-recovery guidance, giving strong feedback loops for a batch analysis operation. | 3 / 3 |
Progressive Disclosure | The ~70-line body is organized into clear sections and keeps detail inline appropriately for a single-purpose skill; the referenced scripts/static_analysis.py is a real one-level bundle file with no nested reference chains. | 3 / 3 |
Total | 11 / 12 Passed |