Content
61%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 lean, well-sequenced orchestration recipe that respects the token budget, but its instructions stay high-level: it gives no concrete agent-angle examples or synthesis step, and a 10-agent batch run has no verification checkpoint.
Suggestions
Replace vague verbs with concrete guidance, e.g. give 2-3 example agent angles ('one maps call graphs, one traces data flow, one surveys tests') and specify how to synthesize findings.
Add a verification/synthesis checkpoint before acting, e.g. 'Before acting, cross-check findings across agents and flag contradictions' to lift the batch-operation cap on workflow clarity.
Add minimal section headers (e.g. '## Steps', '## Plan mode') to give the flat list a bit more navigability.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The 8-line body is lean with no concept re-explanation; the only slack is the repeated phrase 'that given area of interest' across steps, which could be tightened, keeping it just below a 5. | 4 / 5 |
Actionability | Provides a concrete parameter (n=10) and a clear 3-step shape, but 'dig around', 'dig deeper', and 'use the information to do what the user wants' are vague, with no example agent angles or synthesis approach. | 3 / 5 |
Workflow Clarity | The sequence (gather overview -> spawn 10 agents -> use findings) is clear, but spawning 10 agents is a batch operation with no validation or synthesis checkpoint, so the batch cap holds it at 3. | 3 / 5 |
Progressive Disclosure | Under 50 lines with no external references needed and organized as a numbered list, so the simple-skill exception applies; it sits at 4 rather than 5 because there are no section headers beyond the flat list. | 4 / 5 |
Total | 14 / 20 Passed |