Content
85%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 content is a well-organized, phased workflow with explicit validation gates and error-recovery guidance, strong actionability via concrete tool calls, and a clean self-contained structure needing no external references. Minor conciseness trims and more worked report examples would push it to the top of the scale.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with phased structure and minimal over-explanation of concepts Claude already knows, though sections like the AI/ML package list and risk descriptions carry mild padding that could be trimmed. | 4 / 5 |
Actionability | It provides concrete, copy-ready tool invocations like 'mcp_snyk_snyk_aibom(path="/absolute/path/to/project")' and structured report templates, but the report tables are skeleton placeholders rather than fully worked examples. | 4 / 5 |
Workflow Clarity | The five phases are clearly sequenced with explicit validation checkpoints — 'verify the returned JSON contains component entries before proceeding', the Not-a-Python-Project error halt, and validate-before-Phase-3 gating — plus error-recovery guidance, matching the score-5 anchor. | 5 / 5 |
Progressive Disclosure | The SKILL.md is a self-contained overview well under the size that would require external files, with clean section headers (Quick Start, Phases 1-5, Use Cases, Constraints) and no nested references; for a sub-50-line-equivalent single-purpose skill this is appropriate. | 5 / 5 |
Total | 18 / 20 Passed |