Content
85%Reviews 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 with executable commands, a well-sequenced workflow, and clean one-level references; its main weakness is redundancy where the same hard rules are restated across multiple sections.
Suggestions
State the akg_cli-ignore and foreground-execution rules once in 硬规则 and reference them from 执行顺序/输出要求 rather than repeating them verbatim, to tighten token efficiency.
Consider extracting the lengthy 输出要求 checklist into a short checklist reference if the restated rules are kept, preserving the overview's leanness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence, but the akg_cli-ignore and foreground-execution rules are restated across 硬规则, 代码生成, 执行顺序, and 输出要求, so not every token earns its place. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands — git clone, git rev-parse/branch checks, and the complete run_workflow.py --workflow kernelgen invocation with all flags. | 3 / 3 |
Workflow Clarity | A clear 12-step execution order with explicit validation checkpoints (check_env.md existence, settings.json configuration gate) and a feedback loop requiring honest failure reporting before any fallback. | 3 / 3 |
Progressive Disclosure | A single well-sectioned file with clearly signaled, one-level-deep references to akg-env-setup and op-task-extractor SKILL.md; no nested or deeply chained references. | 3 / 3 |
Total | 11 / 12 Passed |