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.
The body is highly actionable and well-sequenced with strong validation checkpoints for a batch/destructive eval workflow. Progressive disclosure is good but could push more detail into the existing references. Conciseness is strong with only minor redundancy.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete commands and minimal conceptual padding; a few repeated reminders (container reuse, verify-before-next) and the inlined YAML template could be trimmed or moved. | 4 / 5 |
Actionability | Provides copy-paste-ready bash and Python snippets with exact flags, a complete custom-story YAML template, and concrete scoring/triage matrices covering the common cases. | 5 / 5 |
Workflow Clarity | Strictly ordered Step 0-8 sequence with explicit verification checkpoints after each story, exit-code/timeout handling, and feedback loops (re-run flaky, unverified handling) for this batch operation. | 5 / 5 |
Progressive Disclosure | References (evaluation-protocol.md, regression-protocol.md) are real files and clearly signaled in-body and via the Key Files table, but sizable detail (scoring matrix, token-extraction formulas, custom-story YAML) is inlined rather than pushed one level deep. | 4 / 5 |
Total | 18 / 20 Passed |