Content
87%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 lean, well-sequenced orchestration workflow with concrete, executable guidance and good organization. Its main weakness is the absence of explicit validation checkpoints or error-recovery feedback loops in the execution steps.
Suggestions
Add an explicit validation checkpoint after Step 2 (e.g., confirm selectedRules and metaCognitiveGuidance fields are present and non-empty before proceeding).
Insert a validate->fix->retry feedback loop in Step 4 for when warningPatterns are triggered, rather than just 'adjust approach'.
Specify how to handle a missing or malformed rule-advisor JSON response so the workflow degrades gracefully.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — no concept explanations or padding — with each line earning its place (e.g., 'Apply countermeasures for known failure patterns'), matching the score-3 'lean and efficient' anchor. | 3 / 3 |
Actionability | It gives concrete, executable orchestration guidance: exact subagent_type/description/prompt strings, explicit field paths (taskAnalysis.essence, metaCognitiveGuidance.firstStep), and named tools (TaskCreate/TaskUpdate), matching the score-3 'concrete, specific guidance' anchor for an instruction-only skill. | 3 / 3 |
Workflow Clarity | A clear 4-step sequence is present, but validation is thin — only a final 'Verify the mapped rules before final JSON' task with no explicit validate->fix->retry checkpoint or feedback loop, matching the score-2 'sequence present but checkpoints missing or implicit' anchor. | 2 / 3 |
Progressive Disclosure | A single self-contained, well-organized SKILL.md with no need for external references; under the simple-skills scoring note, a well-organized under-50-line body with no bundle files can score 3. | 3 / 3 |
Total | 11 / 12 Passed |