Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tight, action-oriented skill body with executable commands, a committed config, and a complete CI regression-gating workflow including a baseline-compare validation step. Organization is clear and external references are one level deep and well signaled.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and table/example-driven — flag tables, config JSON, and copy-paste commands — without explaining concepts Claude already knows (e.g. what gRPC or protobuf is), so every token largely earns its place. | 3 / 3 |
Actionability | Provides fully executable commands ('ghz --proto=... --call=... -n 10000 -c 50'), a complete committed config.json, a complete compare-ghz.py script, and a GitHub Actions workflow — all copy-paste ready. | 3 / 3 |
Workflow Clarity | Sequenced Install → Configure → Running → Parsing → CI sections, and the regression-gate workflow has an explicit baseline-compare validation checkpoint with a failure/exit-1 feedback path gating the gate. | 3 / 3 |
Progressive Disclosure | No bundle files exist; references to sibling skills and ghz.sh docs are one level deep and clearly signaled in a References section, and the content is well-organized into navigable sections. | 3 / 3 |
Total | 12 / 12 Passed |