Content
85%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.
A highly actionable, well-sequenced debugging runbook with concrete commands throughout; its main weakness is length and repetition between the step walkthroughs and the summary failure table.
Suggestions
Trim redundancy between the per-platform Step sections and the 'Common Failure Patterns' table — the table can cross-reference the steps rather than restating the same findings verbatim.
Consider splitting the deep Kubernetes sidecar-topology and cert-manager/JWT detail (Steps 6) into a reference file, keeping SKILL.md as a tighter overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Operational and free of conceptual padding, but at ~415 lines it is verbose with notable redundancy between the per-platform Step sections and the 'Common Failure Patterns' table that re-states the same findings. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands — specific kubectl jsonpath expressions, named secrets, systemd units, and stat/rg/journalctl invocations for each failure mode. | 3 / 3 |
Workflow Clarity | Seven explicitly sequenced diagnostic steps with a clear stop condition ('stop once the root cause is clear') and ordered gating (e.g. inspect startup dependencies before the compute platform). | 3 / 3 |
Progressive Disclosure | No bundle files exist, so the single-file SKILL.md is appropriately self-contained and well-sectioned (Overview, Prerequisites, Workflow, Common Failure Patterns, Reporting) with an in-file platform matrix for navigation. | 3 / 3 |
Total | 11 / 12 Passed |