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 high-quality, highly actionable debugging methodology with executable commands, explicit validation gates, and feedback loops throughout. The only marginal area is conciseness, where a few motivational asides could be trimmed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and command-laden with no padding about concepts Claude already knows, but a few motivational sentences ("Guess-and-check past three loops is how sessions burn hours", "A minimal repro often names the root cause by itself") could be trimmed. | 4 / 5 |
Actionability | Fully executable guidance: copy-paste git bisect block, report template, and concrete commands across pytest/jest/go test/curl/CLI plus a scripted pdb one-liner; the common cases are covered. | 5 / 5 |
Workflow Clarity | A clearly sequenced 7-step pipeline with mandatory ordering ("red test → fix → green"), explicit validation checkpoints (Step 6.3 repro re-run, 6.4 baseline comparison), and feedback loops (3-hypothesis cap → bisect, escape hatch after 3 strategies). | 5 / 5 |
Progressive Disclosure | Well-organized single-file structure with clear section headers (Iron Rule, Steps 1–7, Judgment rules) and no nested references; at ~120 lines with all content inline it is cohesive, though a couple of integral blocks (report template, patch smells) could optionally live in references. | 4 / 5 |
Total | 18 / 20 Passed |