Content
85%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, well-structured skill for a complex multi-system correlation workflow. Its greatest strengths are the highly actionable guidance with specific tool names, attribute paths, and a worked parsing example, plus a clear 5-phase workflow with explicit validation checkpoints and stop conditions. The main weakness is moderate redundancy between the 'Required Behavior' section and the 'Workflow' section, which could be consolidated to save tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient for a complex multi-step workflow, but includes some redundancy (e.g., the tool discovery instruction is repeated in both 'Required Behavior' and 'Workflow' step 1, and some guardrails restate what's already in the workflow). The inline parsing example earns its place, but overall it could be tightened by ~20%. | 2 / 3 |
Actionability | The skill provides concrete, specific steps with exact attribute names (tracestate, w3c.tracestate, te=), exact parameter mappings (__a→accountId, testId, agentId, startTime→executionTime), specific tool names (get_network_app_synthetics_test, get_path_visualization_results, etc.), and a fully worked inline parsing example with real-looking values. This is highly actionable and copy-paste ready. | 3 / 3 |
Workflow Clarity | The workflow is clearly sequenced across 5 numbered phases with explicit sub-steps. It includes validation checkpoints (comparing identifiers across platforms, verifying tracestate presence before proceeding), clear stop conditions in guardrails (stop if tracestate absent, stop if identifiers missing), and fallback paths (span-search, log-search). The feedback loop for disagreements between platforms is explicitly called out. | 3 / 3 |
Progressive Disclosure | The skill provides a clear overview with well-signaled one-level-deep references to reference.md (for parsing rules and query strategy) and examples.md (for structured reports). The inline content is appropriately scoped to the essential workflow, with detailed parsing rules and report templates deferred to supporting files. References are contextually placed where they're needed. | 3 / 3 |
Total | 11 / 12 Passed |