Content
75%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 well-structured operational skill with concrete commands and clear job sequencing. Validation is present but the error-recovery loop is implicit, and jobs 2-3 rely on guidance rather than executable steps.
Suggestions
Make the validation feedback loop explicit in the Validate section (e.g. 'if the test fails, fix the data file and re-run pytest until it passes').
Add a concrete probe command or code snippet for job 2 so the live-runner sync step is executable rather than purely instructional.
Consider moving the additions-retirement and Fable-resolution mechanism detail into a short reference file to keep the body leaner.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and largely free of padding, assuming Claude's competence; a few explanatory prose passages (e.g. the additions-retirement rationale) could be trimmed slightly. | 4 / 5 |
Actionability | Job 1 gives copy-paste bash with glob resolution and a runnable pytest command, but jobs 2 and 3 are instruction-only with file references rather than executable steps. | 4 / 5 |
Workflow Clarity | Three jobs are clearly numbered and sequenced with a dedicated Validate section, but the validate->fix->revalidate feedback loop is implicit ("fails loud") rather than an explicit checkpoint. | 4 / 5 |
Progressive Disclosure | Well-organized sections (What it owns, three jobs, Validate, When to run) with a one-level-deep pointer to design docs; no bundle files exist, and some inline mechanism detail could live in references. | 4 / 5 |
Total | 16 / 20 Passed |