Content
82%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.
A tight, well-structured operational skill: no fluff, domain-specific contracts (datasets, dimensions, artifact schemas, verdict enums) throughout, and a clearly sequenced workflow with an explicit judge checklist. The main gaps are the absence of a concrete example APL/MPL query and an explicit recovery loop for the 'needs_more_data' verdict.
Suggestions
Add one or two example APL/MPL queries (e.g., filtering 'moltnet' by attributes.http.response.status_code >= 500 over the alert window) so the 'query the smallest window' step is copy-paste executable.
Add an explicit feedback loop after step 7: what to do when the verdict is 'needs_more_data' (e.g., expand the time window, re-query, or list which gap blocks classification).
Consider moving the two JSON artifact schema templates into short one-level-deep reference files (e.g., references/artifact-shapes.md) to keep SKILL.md as a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: it never explains what Axiom, telemetry, or alerting is; every section (inputs, workflow, artifact shapes, judge criteria, safety) carries non-obvious domain specifics like dataset names, dimension keys, and verdict enums. No padded or over-explained passages found. | 5 / 5 |
Actionability | Guidance is largely concrete and executable: exact datasets ('moltnet', 'moltnet-metrics'), a monitor contract path ('infra/axiom/monitors/*.json'), specific correlation dimensions ('service.name', 'attributes.taskId', ...), and complete JSON artifact templates with typed fields. It falls short of anchor 5 because no sample APL/MPL query text is given, so 'query the smallest window around the alert' is direction rather than copy-paste-ready execution. | 4 / 5 |
Workflow Clarity | The 7-step triage workflow is clearly sequenced with classification families, telemetry-surface selection rules, correlation keys, and a fixed verdict enum, and the 'Judge rubric' section supplies explicit validation criteria. It does not reach anchor 5 because the validation checklist lives outside the workflow and there is no explicit feedback loop (e.g., what to do next when the verdict is 'needs_more_data' — expand the window? re-query?). | 4 / 5 |
Progressive Disclosure | The single SKILL.md is well-organized with clear section headers and no nested or buried references; there are no bundle files to score against. It is not anchor 5 because at ~137 lines the two JSON artifact schema templates (telemetry-evidence, triage-report) are sizable contract content that could live in one-level-deep reference files, though keeping them inline is defensible. | 4 / 5 |
Total | 17 / 20 Passed |