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.
A highly actionable, well-sequenced workflow with strong validation and feedback loops appropriate to a batch CLI skill. The main improvement is splitting the detailed model-validation reference into a separate file and trimming background prose.
Suggestions
Move the detailed model-membership validation rules (evo.llm_models, meta, prompt, embedding checks) into a references/ file and link to it from the workflow to improve progressive disclosure.
Trim the 'What is ShinkaEvolve?' paragraph and keep only the repo/paper links as a one-line reference to reduce background context tokens.
Consider extracting the full `shinka_run` flag matrix into a reference snippet so the main workflow stays scannable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and assumes competence, but the 'What is ShinkaEvolve?' background paragraph and repo/paper links are context that could be trimmed without losing actionability. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready `shinka_run` invocations with concrete flags and values, plus a concrete next-batch example covering the common cases. | 5 / 5 |
Workflow Clarity | A 7-step sequence with a model-availability validation checklist, a confirm-with-user checkpoint, output verification, a stop-and-ask feedback loop, and an explicit batch control policy for a batch operation skill. | 5 / 5 |
Progressive Disclosure | Sections are well-organized with no bundle files referenced, but the detailed inlined model-validation rules block reads like reference material and the skill exceeds 50 lines, so the simple-skill exception to reach 5 does not apply. | 4 / 5 |
Total | 18 / 20 Passed |