Content
90%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.
The skill body is lean, highly actionable, and well-structured with pre-cached configuration and copy-paste example queries that respect Claude's competence. The main gap is the absence of an explicit validation/feedback-loop step in the workflow.
Suggestions
Add an explicit validation step to the workflow, e.g. 'If a query returns no rows, widen the time range or drop the namespace filter before concluding the signal is absent'.
Consider moving the namespace-UID and datasource-UID lookup tables into a short references file and signaling it from the body, to tighten the inline footprint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: compact UID/namespace tables, terse tool guidance, and copy-paste example queries, assuming Claude already knows LogQL/PromQL with no padding explaining what Grafana is. | 5 / 5 |
Actionability | Provides concrete tool names, exact parameter names (datasourceUid, query, timeRange, limit), pre-cached UIDs, and copy-paste-ready example queries covering the common log and metric cases. | 5 / 5 |
Workflow Clarity | A clear six-step sequence is present with implicit checkpoints ('Only call list_datasources if a query fails with an unknown UID error'; 'narrow time ranges first, then widen'), but no explicit validation/feedback loop step, leaving it just below the top anchor. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly labeled single-level sections with no nested references and no bundle files; the body slightly exceeds 50 lines with inline reference tables (UIDs, namespaces) that could conceivably live in a separate reference file, keeping it just below the top anchor. | 4 / 5 |
Total | 18 / 20 Passed |