Content
81%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 well-structured, actionable, and intelligence-respecting workflow with strong sequencing and self-correction. Minor tightening of rhetoric and a concrete output JSON example would push it higher.
Suggestions
Replace the prose output-schema description with a copy-pasteable JSON example showing verdict, summary, and a findings entry with path/line/side/severity/body.
Trim the most rhetorical/emphatic passages (e.g. the 'flawless implementation of the wrong thing' line and repeated 'don't tag needs_fixing to look thorough' reminders) to recover token budget.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and intelligence-assuming with no padding about basic concepts, but a few rhetorical/emphatic passages (e.g. 'A flawless implementation of the wrong thing is still the wrong thing' and repeated calibration reminders) could be trimmed. | 4 / 5 |
Actionability | Provides concrete executable guidance — exact state.* API calls, the code-call shape, and the output schema fields — but the output schema is described in prose rather than a copy-pasteable JSON block. | 4 / 5 |
Workflow Clarity | A clear 5-step sequenced method ('frame, enumerate, verify') with explicit self-correction checkpoints ('drop candidates that turn out fine'), a candidate checklist, and a prioritization cull; the read-only task avoids the destructive-cap. | 5 / 5 |
Progressive Disclosure | Self-contained single file with clear section headers and no nested bundle references; well-organized, though it is a single longer document rather than split across files. | 4 / 5 |
Total | 17 / 20 Passed |