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-organized, actionable skill body that assumes competence, leads with executable commands, sequences the workflow with verification, and cleanly offloads detail to a single real reference file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean, assumes Claude's competence (no generic explanations of what a clock or library is), and every section earns its place; the minor overlap between the 'How to use' steps and the 'Authoring' section is structural rather than padded fluff. | 3 / 3 |
Actionability | Provides copy-paste-ready, fully executable guidance throughout — install commands, the faketime wrapper invocation, raw LD_PRELOAD, a Python subprocess test, and a CI yaml snippet — matching the anchor-3 example. | 3 / 3 |
Workflow Clarity | The 7-step 'How to use' is clearly sequenced with an explicit verification step (step 6: assert on visible output), and the worked example adds a 4-step DST sequence; this is not a destructive/batch operation, so no feedback-loop cap applies. | 3 / 3 |
Progressive Disclosure | SKILL.md is a concise overview that offloads variant syntax and recipes to one real, clearly-signaled, one-level-deep reference (references/faketime-modes-and-recipes.md, verified present), matching the anchor-3 pattern. | 3 / 3 |
Total | 12 / 12 Passed |