Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A lean, highly actionable skill body organized as reference tables and executable snippets, with a clear identify-then-query workflow and well-signaled one-level-deep reference files. It adds only operational knowledge Claude would not already have.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense operational guidance — tables, executable command snippets, and filter patterns — that assumes Claude's competence and never explains basic concepts (e.g. what PromQL or a span is), so every token earns its place per the score-3 anchor rather than the padded score-2 anchor. | 3 / 3 |
Actionability | It provides copy-paste-ready, fully executable commands (e.g. `cx metrics search --name '<pattern>'`, `cx logs '<dataprime_query>'`) plus concrete label/filter patterns like `$l.applicationName == '<application>'`, matching the score-3 anchor for specific executable guidance rather than pseudocode at score 2. | 3 / 3 |
Workflow Clarity | The 'First Response' section sequences the work (identify agent + goal → ask for missing scope → query with the dashboard's data source) and the 'Answer Style' section provides an explicit verification step (caveats about empty data, pseudonymous users, non-comparable metrics); since all commands are explicitly read-only, the destructive/batch cap at 2 does not apply. | 3 / 3 |
Progressive Disclosure | SKILL.md is a clear overview that signals one-level-deep references via a dedicated table mapping each agent to its `references/*.md` files, all of which exist on disk, with no nested indirection — matching the score-3 well-signaled reference anchor rather than the inline-bloat score-2 anchor. | 3 / 3 |
Total | 12 / 12 Passed |