Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-sequenced skill body with strong validation checkpoints and clean one-level-deep references. Its main weakness is length — motivational prose and extended comparison examples could be trimmed for token efficiency.
Suggestions
Trim the opening motivational sentence ("AI-drafted briefs invent cases…") — the value proposition is already implied by the checks.
Compress the "Too long / Right" comparison blocks into a single concise "Right" example per case, since the surrounding rules already state the target.
Consider moving the full comment-format examples into references/ if the skill grows, keeping only the status-prefix rule and one example inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and dense with actionable legal guidance, but it carries motivational prose ("AI-drafted briefs invent cases, misstate holdings…") and verbose "Too long / Right" comparison blocks that could be tightened without losing clarity. | 2 / 3 |
Actionability | Provides exact tool calls (analyzeOpinion, analyzeDocketReport, analyzeDocketFiling, findInOpinion) and a copy-paste-ready code example using D.review(), B.p, R.comment, R.del, R.ins, and B.write with its real signature — fully executable, not pseudocode. | 3 / 3 |
Workflow Clarity | Clear numbered sequence (Intake → five checks → build .docx → report) with explicit validation checkpoints ("Never assert a cite is good until a tool confirms it this session") and exhaustive accounting for this batch operation, avoiding the missing-validation cap. | 3 / 3 |
Progressive Disclosure | Keeps the core workflow inline while clearly signaling one-level-deep references to real files (references/citations.md and references/legal-docx.md), with the rendering detail correctly split out rather than reproduced in the body. | 3 / 3 |
Total | 11 / 12 Passed |