Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A dense, well-organized overview that excels at conciseness and progressive disclosure, with a real one-level reference split. It is held back slightly on actionability and workflow clarity because the executable queries and full investigation playbook live in the reference rather than the body.
Suggestions
Include one or two short, copy-paste-ready example queries in the body (e.g., the 'first stop' session-lookup by Session_Id) so the skill is immediately actionable without opening the reference.
Add a brief multi-step triage workflow with an explicit validation/retry checkpoint (e.g., verify query returns rows before drawing conclusions, retry after confirming VPN) to strengthen workflow_clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and information-dense (cluster IDs, table list, correlation hierarchy, exact filter strings) with no padding about concepts Claude already knows. | 3 / 3 |
Actionability | Concrete identifiers and patterns are present (database ID, `Data_stack !has '.goskope.com'`, the `hll()`/`dcount_hll` EU pattern), but actual executable queries are deferred to the reference file rather than given copy-paste-ready in the body. | 2 / 3 |
Workflow Clarity | An orientation step ('first stop' = Error table) and a VPN troubleshooting checkpoint exist, and it directs Claude to read the reference first, but the body lacks a full multi-step validation workflow with feedback loops, delegating the playbook to references. | 2 / 3 |
Progressive Disclosure | A clear overview points to a single, well-signaled one-level-deep reference (`references/kusto-query-reference.md`, which exists) whose contents are enumerated as Parts 1-4. | 3 / 3 |
Total | 10 / 12 Passed |