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.
A lean, highly actionable multi-step workflow with explicit validation, feedback loops, and checklists. It is well-structured with clear one-level references; the only soft spots are minor conciseness trims and the inlined checklist.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Efficient and assumes competence — it skips generic concepts and uses concrete commands and tight verdict mappings — but a few of the auth_flavor bullets are long and could be tightened without losing meaning. | 4 / 5 |
Actionability | Fully executable guidance: concrete probe/test commands, exact file paths, explicit field-by-field entry authoring with acceptable values, verification tiers, and a paste-ready operator checklist — covering the common auth_flavor cases. | 5 / 5 |
Workflow Clarity | A six-step sequence with explicit validation checkpoints (probe verdicts telling you to 'Stop and re-research', test_catalog_entries_are_valid catching bad entries pre-prod), error-recovery feedback loops, and a literal checklist for the operator handoff. | 5 / 5 |
Progressive Disclosure | Well-organized into sections with one-level-deep 'Read first' pointers to README.md, catalog.py, and probe.py; minor gap is the inlined operator checklist, which could be signaled as a separable block, and there are no dedicated bundle reference files beyond the repo pointers. | 4 / 5 |
Total | 18 / 20 Passed |