Content
100%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 that stays lean while routing detail to a single genuine reference file. The workflow is clearly sequenced with a routing checkpoint and documented error recovery for a read-only query domain.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, table-driven body that assumes Claude's competence — no conceptual padding about Azure/KQL/ARG — with detailed KQL patterns offloaded to the reference file. | 3 / 3 |
Actionability | Provides fully executable commands ("az graph query -q … --query … -o table"), a concrete MCP invocation YAML, and an error/fix table that is copy-paste ready. | 3 / 3 |
Workflow Clarity | Three clearly sequenced steps with an explicit decision checkpoint in Step 1 (dedicated-tool routing table); read-only queries do not require destructive-operation validation, and error recovery is documented. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview with a single well-signaled, one-level-deep reference to references/azure-resource-graph.md (verified present), with patterns appropriately split out. | 3 / 3 |
Total | 12 / 12 Passed |