Content
92%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.
An unusually strong skill body: near-total information density of non-obvious operational detail, fully executable guidance with justified placeholders, an explicit validation-and-approval workflow with error-recovery loops, and clean one-level-deep reference separation. The only weakness is minor: a few passages (link-rendering emphasis, the structural-defence paragraph) repeat or belabor their point and could be tightened.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with non-obvious operational knowledge Claude could not already know (refusal semantics, three-attempt limits, quota interactions, insight-recency side effects), with almost no padding — but a few passages could be trimmed: the link-rendering section restates its rule three times ("no exceptions" heading, "Every example gets its case_view_path link, every time", "Never list the examples as plain text…"), and the "structural defence" paragraph in Narrowing the reviewer is wordier than its point requires. This fits anchor 4 (efficient, minor instances that could be trimmed) rather than anchor 5 (every token earns its place). | 4 / 5 |
Actionability | Guidance is fully executable: an exact 7-call tool sequence, a copy-paste markdown bullet template for examples, the exact SQL splicing contract (`SELECT DISTINCT target_id AS session_id FROM (<your selector>)`), and exact `AI.IF` syntax with the `__AI_MODEL__` placeholder whose flexibility is explicitly justified ("the deployment's model is substituted for it"). Worked selectors are correctly delegated to the recipes reference file, which the workflow's first step loads; combined, the common cases are covered copy-paste ready. | 5 / 5 |
Workflow Clarity | The 7-step workflow is clearly sequenced with explicit validation checkpoints — preview, show matches to the user, "get approval", then start — and the run is validated again at start. Error-recovery feedback loops are explicit: rejected selector → fix → preview again (with the three-strikes `attempts_exhausted` rule), `timed_out` → narrow → retry, and refusal handling for non-`session_review` deployments. This matches anchor 5 (clear sequence, explicit validation, feedback loops for error recovery). | 5 / 5 |
Progressive Disclosure | The body is an operational overview and contract; the three reference files (big_query.md, cloud_logging.md, cloud_ops.md — verified present) each hold one telemetry source's column details and worked selectors, exactly one level deep. Navigation is well signaled: the body instructs loading exactly the recipes file named by `selector_recipes` and warns "Load only that file: the other references describe other telemetry sources"; the references' shared `SELECTOR_TABLE` placeholder convention matches the body's instruction to substitute the `table` returned by `describe_telemetry`. Content is appropriately split for a deployment-dependent table. | 5 / 5 |
Total | 19 / 20 Passed |