Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable skill that clearly sequences a complex multi-step assessment workflow with concrete commands and code at each stage. Progressive disclosure is well-handled with references to framework and report spec files. Minor verbosity in explanatory sections (scoring criteria, framework description) could be tightened, but overall the content is effective and well-organized.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but includes some unnecessary explanation (e.g., explaining what the 4D framework is, noting that subagent files have no user messages). The scoring criteria section is somewhat verbose with definitions Claude could infer. However, most content earns its place. | 2 / 3 |
Actionability | Provides fully executable bash commands with clear flag options, concrete Python code for saving questionnaire responses, specific file paths for outputs, and exact questions to ask. The workflow is copy-paste ready throughout. | 3 / 3 |
Workflow Clarity | Clear 5-step sequence with explicit outputs at each stage (evidence.json, analysis.json, questionnaire saved, HTML report generated, report opened). The workflow handles the LLM vs regex-only fallback path and includes concrete scoring criteria for the judgment step. | 3 / 3 |
Progressive Disclosure | SKILL.md serves as a clear overview with well-signaled one-level-deep references to FRAMEWORK.md and REPORT-SPEC.md for detailed specifications. The main file contains the actionable workflow while appropriately deferring the full 24-behavior table and HTML design spec to reference files. | 3 / 3 |
Total | 11 / 12 Passed |