Content
86%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 skill body is well-structured and highly actionable, with copy-paste commands, a clear five-step workflow, and clean progressive disclosure to real reference files. Minor conciseness redundancy and the absence of explicit per-step validation checkpoints are the only weak spots.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean, assumes Claude's competence (no basic-concept explanations), and uses terse command blocks; the Overview section restates the frontmatter description, a minor instance of over-explanation that keeps it below 5. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready bash commands with real flags and file paths for listing, batch recording, manual recording, feedback generation, and summary, plus concrete JSON/YAML output examples covering the common cases. | 5 / 5 |
Workflow Clarity | A clear Step 1–5 sequence with a command per step and a statistical-validity guardrail (the 20-signal minimum-sample principle and confidence field); lacks explicit per-step verify checkpoints, so it sits at 4 rather than 5. | 4 / 5 |
Progressive Disclosure | The body is an overview that points one level deep to verified bundle files (outcome-classification.md, feedback-integration.md, two scripts) via a clearly signaled Resources section and an inline reference, with bulk detail appropriately split out. | 5 / 5 |
Total | 18 / 20 Passed |