Content
62%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body presents a clear, well-sequenced iterative-retrieval workflow with concrete checkpoint and feedback logic, but its code relies on undefined helpers and the material is packed into one long file without progressive file structure. It is actionable at the pattern level but not copy-paste ready.
Suggestions
Define or stub the helper functions (retrieveFiles, scoreRelevance, extractPatterns, mergeContext, hasCriticalGaps) so the examples are executable rather than pseudocode.
Move the two full case studies into a separate references/ file and link to it from the main body to reduce inline length and improve progressive disclosure.
Trim the problem section since the description already establishes the motivation, keeping only the failure modes that directly motivate the iterative approach.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with lean code blocks, but the re-stated problem section and two full case studies add length that could be tightened without losing clarity. | 2 / 3 |
Actionability | Concrete structured code is provided for all four phases, but it depends on undefined helpers (retrieveFiles, scoreRelevance, extractPatterns, mergeContext, etc.), making it pseudocode rather than copy-paste executable. | 2 / 3 |
Workflow Clarity | The four-phase DISPATCH→EVALUATE→REFINE→LOOP sequence is clearly diagrammed with an explicit EVALUATE checkpoint, a refine feedback loop, and a concrete stopping condition (relevance ≥ 0.7 and no critical gaps). | 3 / 3 |
Progressive Disclosure | The content is well-organized into sections, but it is a monolithic ~200-line single file with no bundle files; the two case studies and extensive code could be split out, and the external pointers (URL, other skills) are not clearly signaled references. | 2 / 3 |
Total | 9 / 12 Passed |