Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, concise hub skill that effectively delegates detailed operations to helper command skills. Its main weakness is the lack of a concrete end-to-end usage example and missing validation/verification guidance for safety-critical content filtering operations.
Suggestions
Add at least one concrete, executable example showing a complete Model Armor call (e.g., sanitizing a prompt with specific --params), so the skill is actionable without navigating to helper files.
Include a brief note on how to interpret or validate Model Armor responses (e.g., what a blocked/flagged result looks like) to improve workflow clarity for this safety-critical operation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Very lean and efficient. No unnecessary explanations of what Model Armor is or how filtering works. Every line serves a purpose—prerequisite, syntax, helper commands, and discovery commands. | 3 / 3 |
Actionability | Provides concrete CLI commands for discovery (`gws modelarmor --help`, `gws schema`) and links to helper command skills, but the skill itself doesn't include executable examples of actual usage (e.g., a complete sanitize-prompt call with params). The actionability is delegated to linked files. | 2 / 3 |
Workflow Clarity | There's a clear discovery workflow (browse resources → inspect method → build params), but no explicit validation or error-handling steps. For a skill that filters content for safety, some guidance on verifying results or handling rejection responses would strengthen the workflow. | 2 / 3 |
Progressive Disclosure | Excellent progressive disclosure: concise overview with well-signaled one-level-deep references to helper command skills (sanitize-prompt, sanitize-response, create-template) and a prerequisite link to shared auth/security rules. | 3 / 3 |
Total | 10 / 12 Passed |