Content
57%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 actionable with strong templates and executable grader examples, but it repeats grader/pass@k material across sections and lacks validation feedback loops and any progressive disclosure via separate reference files.
Suggestions
Add an explicit validation loop in the Evaluate step: 'If any eval fails, fix the change and re-run until all pass before reporting.'
De-duplicate the grader types and pass@k guidance that appear both in the main sections and the 'Product Evals (v1.8)' section.
Move the full 'Example: Adding Authentication' walkthrough and Product Evals detail into separate reference files linked from SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete templates, but the 'Product Evals (v1.8)' section restates grader types and pass@k guidance already covered earlier, and the time-sensitive '(v1.8)' tag adds version noise that could be trimmed. | 3 / 5 |
Actionability | Provides concrete, mostly copy-paste-ready templates (capability/regression eval formats, grader prompts, report layout) and executable bash checks (grep, npm test), with only minor gaps where steps are placeholders like '[Run each capability eval]'. | 4 / 5 |
Workflow Clarity | The Define → Implement → Evaluate → Report sequence is clear, but the Evaluate step lacks an explicit validation feedback loop (fix and re-run on failure); per the rubric, batch/regression operations without validation checkpoints cap workflow clarity at 3. | 3 / 5 |
Progressive Disclosure | Good section headers structure the content, but everything is inlined in a single ~270-line SKILL.md with no bundle files or one-level-deep references; substantial material (full auth example, Product Evals detail) that could live in separate files is inlined. | 3 / 5 |
Total | 13 / 20 Passed |