Content
93%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.
A well-structured, action-oriented skill body that is lean for a complex domain API and uses a single clearly-signaled reference file for depth. The only gap is the absence of an explicit error-recovery feedback loop anchored to the verification step.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: it explains only Dynatrace-specific behaviour (OpenPipeline metric extraction, EXT_TEST Smartscape nodes, Davis Problems) that Claude would not already know, with concrete curl/DQL examples and a dense Key Constraints list — every token earns its place. | 5 / 5 |
Actionability | Provides a copy-paste-ready curl POST with clear placeholders, a concrete token-scope table (including the 'events.ingest' wrong-guess warning), an executable DQL verification query, and explicit field constraints — fully executable guidance covering the common case. | 5 / 5 |
Workflow Clarity | The section ordering implies a clear auth → send → verify sequence and includes an explicit 'Verify in Grail' checkpoint plus a constraints troubleshooting list, but there is no explicit error-recovery feedback loop tied to verification (e.g. 'if the event does not appear, check token scope / endpoint existence'), so it sits just below the top anchor. | 4 / 5 |
Progressive Disclosure | The body is a focused overview that keeps a minimal quick-start inline and pushes the full schema, extended examples, Java DTO shapes, and DQL queries to a single one-level-deep, clearly-signaled real reference (references/event-ingestion.md), with easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |