Content
92%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 content is a well-structured, highly actionable overview that delegates detail to clearly labeled one-level-deep references and frames a validation-gated multi-stage workflow with feedback loops. Minor conciseness trim is possible but it does not materially detract from quality.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly actionable with minimal conceptual re-explanation, but the harness-vs-LLM table and a few explanatory sentences ('Use the Python interpreter from `.env`...') could be trimmed slightly. It sits above the 'mostly efficient' anchor but does not fully earn the lean-every-token-counts level. | 4 / 5 |
Actionability | Provides copy-paste-ready CLI commands with full argument signatures in the Quick Reference table, concrete directory contracts, a numbered produce flow, and a Common Mistakes table with specific fixes — covering the common cases executably. | 5 / 5 |
Workflow Clarity | Sequences a six-stage pipeline (frame→explore→claims→refine→produce→synthesis) with a diagram, explicit per-phase validate-* gates, and a producer→reviewer feedback loop ('loop until PASS'), satisfying the validation-checkpoint and feedback-loop requirements. | 5 / 5 |
Progressive Disclosure | Acts as a clear overview with a dedicated 'Shared References' section signaling ~23 one-level-deep reference files, six stage files, checklists, subagent prompts, and assets, each with a descriptive label and easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |