Content
87%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 concise, highly actionable CLI skill body with clean progressive disclosure. The main gap is workflow clarity around the batch run path, which lacks an explicit failure-inspection and retry checkpoint that the rubric requires for batch operations.
Suggestions
Add a feedback loop to the batch workflow: after `run jobs`, show how to inspect `report.json`/`state.json` for failed jobs and re-run only the failures (e.g., resume/retry command or a jq filter to extract failed job_ids).
Consider noting a validation step after export (e.g., verify the .pptx opens or check the file is non-empty) for the export workflow, since exports are a terminal artifact users depend on.
Optionally surface `--state-file` resume semantics alongside the batch example so the resume/retry path is discoverable in context rather than only in the Important Notes.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient throughout — no padding, no explanations of concepts Claude already knows, and every section delivers a runnable command or pattern that earns its tokens. | 5 / 5 |
Actionability | Fully executable, copy-paste-ready bash blocks cover the common cases (end-to-end workflow, short-ID matching, working-project context, exports, batch JSONL, renovate, JSON output) with concrete flags and values. | 5 / 5 |
Workflow Clarity | The end-to-end workflow is well-sequenced and the health check is an explicit validation gate, but the batch `run jobs` workflow lacks a validate/inspect-failures/retry feedback loop, and the rubric caps batch operations without validation at 3. | 3 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with a single well-signaled, one-level-deep reference (references/setup.md, verified present) and clean section structure, making navigation easy. | 5 / 5 |
Total | 18 / 20 Passed |