Content
85%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, concise workflow with concrete script interfaces, explicit validation checkpoints, and appropriately split one-level-deep references. Main improvement room is tightening a few procedural sentences and making more of the lifecycle runnable as explicit commands.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, efficient prose that assumes Claude's competence and avoids explaining what skills/PDFs are; a few procedural sentences could be tightened further, keeping it just below a 5. | 4 / 5 |
Actionability | Provides concrete script names, executable 'python scripts/<script>' commands, and a complete JSON input example with exact return fields; some lifecycle flow is described abstractly rather than as runnable commands, leaving minor gaps. | 4 / 5 |
Workflow Clarity | Clear plan→build→validate/test→publish sequence with explicit validation checkpoints ('执行任何 draft script 前...先运行 validate_skill.py'), a fix-and-revalidate feedback loop, and digest verification for destructive/batch operations. | 5 / 5 |
Progressive Disclosure | Overview body points to one-level-deep references (type-and-package.md, behavior-testing.md, run-batch.md — all real files) that are clearly signaled and conditionally read, with scripts kept in separate files; navigation is easy. | 5 / 5 |
Total | 18 / 20 Passed |