Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise and highly actionable, with executable code and concrete paths for both capture workflows. Its only gap is implicit rather than explicit validation checkpoints in the fixture-capture sequence.
Suggestions
Add an explicit verification step after capturing a fixture, e.g. confirm it parses with the test helper before committing it under __fixtures__.
Briefly note how to validate that trimmed large responses still preserve parsing semantics.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: one orienting sentence on fixture storage plus two complete, purposeful code blocks, with no padding explaining what a test fixture is or how libraries work, matching the level-3 anchor where every token earns its place. | 3 / 3 |
Actionability | It provides fully executable TypeScript examples for both generateText and streamText, with specific paths, the run command 'pnpm tsx src/stream-text/script-name.ts', and the output folder, making it copy-paste ready as in the level-3 anchor. | 3 / 3 |
Workflow Clarity | The two sub-workflows are clearly sequenced and separated by headers, but checkpoints are only implicit (e.g. no 'verify the fixture parses before using it'), fitting the level-2 anchor of steps present with implicit validation. | 2 / 3 |
Progressive Disclosure | This is a sub-50-line single-purpose skill with no bundle files and clear section organization, which the rubric notes can score 3 on progressive disclosure with well-organized sections alone. | 3 / 3 |
Total | 11 / 12 Passed |