Content
92%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 strong, actionable skill body with executable code, explicit validation checkpoints, and clean one-level-deep progressive disclosure into the reference file. The only nit is mild redundancy where the decision rule is restated across several sections.
Suggestions
Consolidate the gate decision rule's 'Default behavior' bullets into the Python block's inline comments to avoid restating the rule in four places.
Consider moving the engine exit-code comparison from the 'Emitting gate artifacts' step 5 into the reference, since it is engine-specific detail rather than core gate logic.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient - code, schemas, and the worked example earn their tokens - but the gate decision rule is restated across the Python block, the 'Default behavior' bullets, the worked example, and the 6-step emit section, which could be tightened. | 4 / 5 |
Actionability | Fully executable guidance: a runnable Python decision rule, a bash author-cannot-self-approve check, concrete JSON/YAML input schemas, a worked example, and a complete CI entrypoint script plus GitHub Actions wiring in the reference. | 5 / 5 |
Workflow Clarity | Sequenced 'How to use' (4 steps) and a 6-step emit section with explicit validation checkpoints - fail-closed on a missing classifier run, BLOCK>REVIEW>OK precedence, escalate-to-BLOCK on self-approval - plus a remediation feedback loop in the worked example. | 5 / 5 |
Progressive Disclosure | Body is a well-signaled overview keeping the decision rule and examples inline while pushing bulk artifact templates, the CI entrypoint, and Actions wiring to a single one-level-deep reference (references/artifact-and-ci-wiring.md) linked three times. | 5 / 5 |
Total | 19 / 20 Passed |