Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is lean, assumes Claude's intelligence, and supplies executable code for every step with a real validation checkpoint and feedback loop before the batch coverage computation. Longer illustrative content is correctly offloaded to a single, well-signaled reference file that genuinely exists.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body assumes Claude's competence — no 'what is a TCM' or 'how libraries work' padding — and every section earns its place; the ISO/ISTQB/IEC/DO-178C mentions are actionable cite-by-stable-ID pointers rather than concept explanation, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready Python (get_requirements_jira, get_cases_testrail, get_cases_xray, coverage(), write_matrix_csv) with real field paths plus a concrete GitHub Actions workflow, matching the score-3 'fully executable code/commands; copy-paste ready' anchor rather than the pseudocode at score 2. | 3 / 3 |
Workflow Clarity | A clearly sequenced 6-step process with an explicit validation checkpoint in Step 3 ('Checkpoint first: confirm every case ref resolves to an existing requirement ID before computing coverage') and an error feedback loop ('Flag and fix dangling refs first') for the batch coverage operation, matching the score-3 anchor with explicit validation and recovery. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that pushes the longer illustrative material (Markdown/HTML templates, filled executive summary, end-to-end worked example) to a single real one-level-deep bundle file, references/matrix-formats.md, which exists and is linked inline at each relevant step (lines 146, 164, 191), matching the 'clear overview with well-signaled one-level-deep references' anchor. | 3 / 3 |
Total | 12 / 12 Passed |