Content
57%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-structured and provides concrete data-source commands, but it relies on illustrative output mockups in place of specified computation logic and leaves the gather→compute→present workflow implicit with some redundancy between sections. Tightening the redundant sections and making the computation methodology explicit would raise the weaker dimensions.
Suggestions
Specify how each metric is derived (e.g., define "correction rate" as corrections/edits, state where "Context % used" comes from, and what window "improving" compares against) so the analytics are reproducible rather than illustrated.
Remove redundancy: drop the standalone Trigger section (already in the frontmatter description) and merge the trailing Output list into What It Shows so the report format is shown once.
Make the workflow explicit as a short numbered sequence (gather sources → parse learnings/corrections → compute metrics → format report → surface actionable suggestions) so the steps are sequenced rather than implied.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient (no explanation of concepts Claude already knows, concrete bash data sources), but the Trigger section repeats the frontmatter triggers and the final Output section recapitulates What It Shows, while the four illustrative report mockups are lengthy — it could be tightened, so it sits at the mostly-efficient anchor rather than lean. | 2 / 3 |
Actionability | Data gathering is concrete and executable (cat/git commands, a defined correction-counting rule), but the metric computation itself is only illustrated via mockup outputs rather than specified — provenance of values like "Context: 62% used" and "Correction rate: 12% (improving)" is missing key details, matching the some-concrete-but-incomplete anchor. | 2 / 3 |
Workflow Clarity | A logical flow exists (gather data → compute → present) but it is implicit rather than a numbered sequence, and there are no validation checkpoints; this matches the sequence-present-but-checkpoints-implicit anchor, and is not capped lower because the operation is read-only rather than destructive/batch. | 2 / 3 |
Progressive Disclosure | No bundle files exist and none are needed; the skill is self-contained with well-organized sections (Trigger, Data Sources, What It Shows, Guardrails, Output) and no nested references, satisfying the well-organized-sections criterion for a reference-light skill. | 3 / 3 |
Total | 9 / 12 Passed |