Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable skill with excellent workflow clarity and safety guardrails. The cost investigation workflow is well-sequenced with concrete commands at every step, and the PromQL metrics section adds significant value for advanced analysis. The main weakness is length—the skill could benefit from splitting detailed reference material (jq examples, PromQL queries, metrics tables) into separate files to improve token efficiency and progressive disclosure.
Suggestions
Extract the 'jq Examples' and 'Metrics-Based Cost Analysis' sections into separate reference files (e.g., JQ_EXAMPLES.md, METRICS_REFERENCE.md) and link to them from the main skill to reduce token footprint.
Remove the jq commands in the 'jq Examples' section that duplicate commands already shown in the workflow steps (e.g., the usage summary sort appears in both Step 1 and the jq section).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is generally efficient and avoids explaining basic concepts, but it's quite long (~200+ lines) with some redundancy—e.g., the jq examples section repeats commands already shown in the workflow, and the 'Common Optimization Patterns' table partially duplicates Step 5 guidance. Some tightening is possible. | 2 / 3 |
Actionability | Excellent actionability throughout: every step includes copy-paste-ready bash commands with specific flags, jq pipelines for analysis, and concrete PromQL queries. The optimization patterns table maps symptoms directly to diagnosis commands and remediation actions. | 3 / 3 |
Workflow Clarity | The 5-step cost investigation workflow is clearly sequenced with explicit validation (Step 2 after Step 1, verify after changes). The 'Applying Changes' section includes a feedback loop (template → edit → apply → verify), safety constraints (never pass --yes without approval), and read-only mode for safe exploration. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear section headers and a logical progression from CLI commands to workflows to advanced PromQL analysis. However, given the length, the detailed jq examples, PromQL queries, and metrics reference could be split into separate files. There's only one cross-reference (to cx-telemetry-querying) and no bundle files to offload content to. | 2 / 3 |
Total | 10 / 12 Passed |