Content
92%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-structured and highly actionable, with an explicit validation feedback loop and clean progressive disclosure to a single real reference file. Only minor conciseness slack from the redundant worked example keeps it from a perfect score.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with compact tables and focused code, but the 'Worked example' re-narrates Steps 1/3/5/6/7 already detailed above — a minor instance of over-explanation that could be trimmed. | 4 / 5 |
Actionability | Provides copy-paste-ready grep commands, a complete executable Python test file with imports and assertions, and concrete run commands covering the common cases. | 5 / 5 |
Workflow Clarity | Seven clearly sequenced steps with Step 6 as an explicit validation checkpoint and feedback loop ('fix the harness mapping... re-run until the matrix is green'), plus an anti-patterns checklist. | 5 / 5 |
Progressive Disclosure | Overview in SKILL.md with a well-signaled one-level-deep reference to references/test-catalog.md (a real file); per-language harness detail is appropriately deferred to the sibling fake-clock-testing skill. | 5 / 5 |
Total | 19 / 20 Passed |