Content
50%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 reasonably organized with concrete config and hook examples, but it inlines research notes that belong in a separate file, omits the actual extraction script, and lacks validation checkpoints for an auto-save batch operation.
Suggestions
Include the contents of 'evaluate-session.sh' (or a scripts/ entry) so the extraction logic is executable rather than merely referenced.
Add validation/verification steps to the workflow (e.g., confirm a detected pattern meets the threshold before writing a skill, and re-check after save).
Move the '比較ノート' competitive-research section into the referenced 'docs/continuous-learning-v2-spec.md' to keep SKILL.md a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Most sections are efficient (config JSON, pattern table), but the inlined '比較ノート' competitive-research section and rationale blocks add explanation that does not directly aid execution, fitting 'mostly efficient but could be tightened'. | 3 / 5 |
Actionability | Concrete config and hook-setup JSON are provided, but the core execution logic is delegated to a referenced 'evaluate-session.sh' that is never shown, leaving key details incomplete. | 3 / 5 |
Workflow Clarity | A three-step sequence (evaluate → detect → extract) is listed, but no validation checkpoints exist; because this is a batch/auto-save operation, the missing feedback loop caps workflow clarity at 3 per the rubric. | 3 / 5 |
Progressive Disclosure | Sections provide some structure, but the research/comparison notes are inlined rather than kept in the referenced 'docs/continuous-learning-v2-spec.md', and no bundle files exist to support the referenced paths. | 3 / 5 |
Total | 12 / 20 Passed |