Content
72%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise and well-structured for a self-contained instruction skill, with a reusable theorem template. Its main weakness is actionability and workflow clarity: the theory-output directives are abstract and lack a worked example or explicit validation checkpoints.
Suggestions
Add one fully worked theorem example (filled-in Proposition, Proof Sketch, Interpretation, Limitations) to demonstrate the template in use and lift actionability.
Reframe the Theory Outputs and Experimental Predictions into a short numbered workflow with an explicit checkpoint (e.g., 'verify each theoretical claim yields at least one falsifiable empirical prediction').
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it lists theoretical outputs and a template skeleton without defining basic concepts like bias or consistency, so every token earns its place. | 3 / 3 |
Actionability | It offers a copy-paste theorem template and concrete prediction bullets, but the 'Theory Outputs' entries are abstract directives ('Identifiability argument', 'Bias or variance calculation') with no worked example showing the template filled in, leaving guidance incomplete. | 2 / 3 |
Workflow Clarity | A loose sequence is implied via section ordering and the 'after method proposal and before final experimental comparison' framing, but there is no explicit numbered workflow or validation checkpoints. | 2 / 3 |
Progressive Disclosure | At under 50 lines with no need for external references, the well-organized sections (Overview, Theory Outputs, Theorem Template, Experimental Predictions) satisfy progressive disclosure per the simple-skills scoring note. | 3 / 3 |
Total | 10 / 12 Passed |