Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body with a clean four-step workflow and appropriate offloading of the full collector to a single real reference. The main gaps are minor redundancy between the inline artifact sample and the worked example, and the absence of an explicit verification checkpoint in a build-halting batch gate.
Suggestions
Add an explicit validation checkpoint in Step 3/4 before emitting the verdict, e.g. assert that an artifact from every enumerated engine was collected (a missing engine should not read as a clean gate) and sanity-check that blocker+warning counts equal the parsed failures.
Trim the redundancy between the Step 4 inline markdown/JSON artifact sample and the worked-example collector, or explicitly note the inline sample is the contract the collector produces, so the two do not appear to duplicate.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean (engine result shapes, a unified record schema, an executable decision function) without over-explaining basics, but the Step 4 markdown/JSON artifact sample overlaps the referenced worked-example collector and the 'single release-readiness gate' framing is restated, fitting 'mostly efficient but could be tightened' rather than the every-token-earns-its-place anchor at 3. | 2 / 3 |
Actionability | It provides a concrete field-by-field unified record schema, a copy-paste-ready executable `gate_decision` function, a markdown+JSON artifact template, and a referenced runnable `scripts/run_quality_gate.py` with CI wiring YAML, matching the 'fully executable code/commands; copy-paste ready' anchor at 3. | 3 / 3 |
Workflow Clarity | Steps 1-4 are clearly sequenced with an explicit decision rule and a stricter-mode knob, but the batch CI gate halts builds on a no-go exit yet has no explicit validation/verification checkpoint (e.g. confirm every engine artifact was collected, sanity-check parsed records before emitting no-go), so per the rubric workflow_clarity is capped at 2 for missing checkpoints in a batch operation. | 2 / 3 |
Progressive Disclosure | The SKILL.md body is an overview that correctly keeps the core record schema, decision rule, and artifact template inline while offloading the full end-to-end collector to a real, one-level-deep, well-signaled reference (references/worked-example.md), matching the clear-overview-with-one-level-deep-references anchor at 3. | 3 / 3 |
Total | 10 / 12 Passed |