Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise, well-structured, and has a clear iterative feedback loop, but the fix-application step is abstract and would benefit from concrete examples.
Suggestions
Add one or two concrete fix examples in the workflow (e.g., retrying a flaky job, fixing a lint/type error) to lift actionability.
Optionally note how to get job logs specifically (e.g. 'gh run view --log') to make log inspection more executable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence; it gives a concrete gh command and minimal prose with no padding or explanation of concepts Claude already knows, matching the 3-anchor 'every token earns its place'. | 3 / 3 |
Actionability | Provides one executable command ('gh pr checks --json name,bucket,state,workflow,link') but the fix step is generic ('Apply the smallest safe fix') with no concrete examples of common fixes, fitting the 2-anchor 'some concrete guidance but incomplete'. | 2 / 3 |
Workflow Clarity | The four-step workflow is clearly sequenced with an explicit feedback loop — push, re-check, 'repeat until green' — which is a validation checkpoint for an iterative CI operation, matching the 3-anchor. | 3 / 3 |
Progressive Disclosure | A simple under-50-line skill with well-organized sections (Trigger, Workflow, Guardrails, Output) and no external references needed; per the rubric's simple-skills note this can score 3 with just well-organized sections. | 3 / 3 |
Total | 11 / 12 Passed |