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 a well-structured, highly actionable diagnosis workflow with concrete prompt templates, explicit validation and feedback loops, and clear checklists. It is token-efficient with only minor dense prose and good internal organization.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is procedural and operational without explaining concepts Claude already knows, though a few dense passages (e.g. scopeAccounting monotonicity rules) could be tightened. | 4 / 5 |
Actionability | Copy-paste-ready Agent invocation prompts with exact fields, explicit expected-output JSON schemas, enumerated causeCategory values, and complete report templates give fully executable guidance for the common workflow cases. | 5 / 5 |
Workflow Clarity | Steps 0–7 are clearly sequenced with explicit validation checkpoints (Step 2 quality check, Step 3 verification), feedback loops (Step 4 coverage convergence and re-investigation), and completion checklists. | 5 / 5 |
Progressive Disclosure | No bundle files exist and the skill is self-contained with clear section/step headers and good navigation; the inline external-skill references (llm-friendly-context, subagents-orchestration-guide) are only loosely signaled. | 4 / 5 |
Total | 18 / 20 Passed |