Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-crafted operational skill body: actionable commands and complete examples, a sequenced create-and-verify workflow with a principles checklist, and clean progressive disclosure to real reference files. Minimal padding and no nested-reference chaining.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense operational reference with no generic concept padding (no "what is an alert" filler); every section is skill-specific commands, enum values, or copy-paste JSON that Claude would not already know. The inline 12-type and priority tables are quick-reference summaries that earn their tokens, not verbosity. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready guidance: a CLI command table, complete JSON payloads for three alert types, and concrete jq pipelines such as `cx alerts list -o json | jq '.[] | select(.status == "ALERTING")'`. | 3 / 3 |
Workflow Clarity | The Create Workflow is a clearly numbered 6-step sequence with an explicit validation checkpoint (step 6: "Verify with `cx alerts list --name`"), reinforced by a Key Principles checklist; the create operation is a single verified write rather than a batch/destructive task requiring a retry loop. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that points to five clearly signaled, one-level-deep reference files (all verified to exist: alert-schemas, dataprime-reference, logs-querying, promql-guidelines, spans-querying), with exhaustive schemas correctly offloaded to references and a Related Skills section for navigation. | 3 / 3 |
Total | 12 / 12 Passed |