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-structured, lean body with executable code, an explicit validate-then-fix feedback loop, and proper progressive disclosure to a real reference file. It assumes Claude's competence and stays actionable throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and assumes Claude's competence - no 'what is TestRail' padding; notes like 'preferred over per-test `add_result_for_case` - N+1 API calls vs 1' and 'Closed runs are read-only' are TestRail-specific guidance, not common-concept explanation, matching the 3-anchor. | 3 / 3 |
Actionability | Fully executable Python (open_run/add_results/close_run with requests.post + raise_for_status), concrete env vars, and a status-ID table make it copy-paste ready, matching the 3-anchor; not 2 because the code is real and complete rather than pseudocode. | 3 / 3 |
Workflow Clarity | Explicitly sequenced Step 1-6 with a validation checkpoint and feedback loop - 'Verify before batching: call `get_statuses` and assert every `status_id`... If one is missing... fix the map and re-run rather than posting' - matching the 3-anchor for clear sequence with explicit validation. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview; the per-result field list, CI workflow, and untested-case handling are split into a clearly-signaled, one-level-deep, verified-to-exist references/ci-and-fields.md, matching the 3-anchor for clear overview with well-signaled references. | 3 / 3 |
Total | 12 / 12 Passed |