Content
78%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 well-structured, concise, and actionable, providing concrete install and invocation commands while cleanly organizing overview, dimensions, output, and practices; it is a strong, self-contained skill body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and does not explain concepts Claude already knows (no primer on AI models, MCP, or HTML reports), with only minor redundancy where use-cases recur across the Overview, When to Use, and Best Practices sections. | 4 / 5 |
Actionability | Provides copy-paste-ready commands ("pip install bdistill", "claude mcp add bdistill -- bdistill-mcp", "/xray", "/xray --dimensions refusal", "/xray-report") covering common cases, with minor gaps such as where the HTML report is written or how to open it. | 4 / 5 |
Workflow Clarity | The install → probe → report sequence is clear and unambiguous ("/xray-report # Generate report from completed probe"), and no validation checkpoints are required since the operation is non-destructive; it stops short of 5 only because the probe-to-report handoff could be stated more explicitly. | 4 / 5 |
Progressive Disclosure | A single self-contained, well-organized file with clear section headers (Overview, When to Use, How It Works, Probe Dimensions, Output, Best Practices) that appropriately delegates the 30-question detail to the tool rather than inlining it, with easy navigation and no need for external references. | 5 / 5 |
Total | 17 / 20 Passed |