Content
92%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 content is well-structured and highly actionable, with a clear multi-mode workflow, explicit feedback loops, and clean progressive disclosure to three real reference files. The only minor weakness is slight redundancy between inline templates and the reference files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is operational and assumes Claude's competence (no padding about what logic is), but the four-part feedback structure and question templates are shown inline while also living in reference files, leaving minor trimmable redundancy. Not a 5 because a few sections (e.g., the反模式 table vs. inline feedback notes) restate the same constraint. | 4 / 5 |
Actionability | Highly actionable instruction-only guidance: exact diagnostic question sets, a fixed four-part feedback template, explicit difficulty up/down criteria, a snapshot template, and a场景库 of concrete prompts — copy-paste ready despite being non-code. | 5 / 5 |
Workflow Clarity | The training loop is a clearly sequenced Step 1→4 with a built-in feedback loop (四段式反馈 after each answer), explicit checkpoints (进度摘要 every 5th/10th round, per-round difficulty re-calibration), and the反模式 table functions as an error-recovery checklist. | 5 / 5 |
Progressive Disclosure | The body is an overview that contextually signals three one-level-deep references (thinking-dimensions.md, feedback-rubric.md, progress-snapshot-template.md), all verified to exist, and closes with a配套资源 list plus an explicit '按需加载，不要一次性全塞进上下文' load instruction. | 5 / 5 |
Total | 19 / 20 Passed |