Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill that efficiently covers attribute selection, placement, and validation with concrete code examples and a clear decision workflow. The progressive disclosure via the rules table is exemplary, and the content respects Claude's intelligence by avoiding unnecessary explanations of basic concepts. The correct/incorrect example pairs are particularly effective for teaching the nuances of attribute usage.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It doesn't explain what OpenTelemetry is or what semantic conventions are conceptually — it jumps straight to actionable rules and selection guidance. Every section earns its place, and the table format for rules is compact. | 3 / 3 |
Actionability | Provides concrete, executable code examples for correct vs incorrect attribute selection, resource vs span placement, and cardinality violations. The 5-step selection process is specific and prescriptive with clear do/don't patterns. | 3 / 3 |
Workflow Clarity | The 'How to select the right attribute' section provides a clear 5-step sequential workflow for attribute selection decisions. Each step has a clear action and rationale. For this type of skill (decision-making guidance rather than destructive operations), validation checkpoints are appropriately represented by steps like 'Check stability' and 'Verify cardinality'. | 3 / 3 |
Progressive Disclosure | Excellent structure: concise overview with a clear rules table pointing to one-level-deep rule files (attributes.md, versioning.md, dash0.md), plus well-organized external documentation links. The SKILL.md serves as a navigable hub without inlining excessive detail. | 3 / 3 |
Total | 12 / 12 Passed |