Content
67%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 delivers a well-sequenced PDCA workflow with strong feedback loops and concrete quantified examples, scoring well on actionability and workflow clarity. It is somewhat verbose in its worked examples and Notes, which could be tightened or moved to a reference file.
Suggestions
Reduce the three full worked examples to one detailed multi-cycle example plus two brief summaries to reclaim token budget.
Trim obvious Notes ('Failed experiments are learning opportunities', 'Document everything') that restate what the workflow already implies.
If examples grow further, split them into an examples/ reference file referenced from the main body to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The phase steps are efficient, but ~170 lines of fully-worked multi-cycle examples and padded Notes ('Failed experiments are learning opportunities') could be trimmed without losing clarity. | 3 / 5 |
Actionability | Numbered, concrete steps ('Set success criteria (measurable targets)', 'Record any deviations') plus specific quantified examples give actionable guidance; minor gaps only. | 4 / 5 |
Workflow Clarity | Four phases are clearly sequenced with CHECK serving as validation and Act providing explicit success/fail/partial feedback loops into new cycles; minor validation gaps in the standardize branch. | 4 / 5 |
Progressive Disclosure | A single well-organized file with clear section headers and no external references needed; the only concern is the large volume of inline worked examples that could be split out. | 4 / 5 |
Total | 15 / 20 Passed |