Content
60%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 delivers a clear ROB2 workflow, an actionable output schema, and well-signaled references to real bundle files, but it is padded with generic boilerplate sections that inflate the token budget without adding ROB2-specific value.
Suggestions
Remove or condense the generic template sections (When to Use / When Not to Use / Output Contract / Input Validation / Quick Validation) and keep only ROB2-specific guidance, since these add tokens without skill-specific signal.
Fix the extract_pdf.py usage example to include its required argument, e.g. 'python extract_pdf.py <input.pdf>', so the guidance is copy-paste executable.
Replace the generic validation checkpoints with ROB2-specific feedback loops, e.g. verify each domain rating is supported by quoted paper text before synthesizing the overall judgement.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Large boilerplate template sections ('When to Use', 'When Not to Use', 'Output Contract', 'Input Validation', etc.) are generic and do not earn their tokens, with some circular phrasing ('Use this skill when the current task can be completed using this skill's bundled scripts'). | 2 / 5 |
Actionability | Provides a concrete copy-ready JSON output schema, sequenced domain assessment steps, and a working clean_text import example, with the minor gap that 'python extract_pdf.py' is shown without its required <input PDF file> argument. | 4 / 5 |
Workflow Clarity | The ROB2 workflow is clearly sequenced (extract study info, assess 5 domains, synthesize via explicit High/Some concerns/Low rules, output JSON) with validation/failure-handling sections present, though those checkpoints are generic template text rather than ROB2-specific feedback loops. | 4 / 5 |
Progressive Disclosure | The body is an overview that references one-level-deep real bundle files (references/rob2_guidelines.md and two scripts) with clear signaling, though several non-skill-specific template sections are inlined rather than separated. | 4 / 5 |
Total | 14 / 20 Passed |