Content
73%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 is a thorough, actionable compilation workflow with strong validation and feedback loops. Its main weakness is redundancy in the page-count rules and a monolithic structure that could split reference material into bundle files.
Suggestions
Consolidate the ML-vs-IEEE page-count rule into one location (e.g., the Venue Requirements table) and reference it from Constants and Key Rules to remove the triple restatement.
Move the detailed error-diagnosis table (Step 3) and the venue requirements table into a references/ file (e.g., ERROR_FIXES.md, VENUES.md), keeping SKILL.md an overview with one-level-deep links.
Replace the Step 4 pseudocode loop with concrete shell commands or a real retry script so the guidance is fully executable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with executable commands and no conceptual padding, but the ML-vs-IEEE page-count rule is restated three times (Constants, Step 6, Key Rules), which is noticeable redundancy that could be tightened. | 3 / 5 |
Actionability | Provides concrete executable commands throughout (latexmk, pdfinfo, pdftotext|python3, grep), but Step 4's fix loop is pseudocode with undefined compile()/auto_fix() helpers, leaving minor gaps. | 4 / 5 |
Workflow Clarity | An explicit 8-step sequence includes validation checkpoints (Step 5 automated checks, page-count verification), a recovery feedback loop (Step 4 retry plus RESCUE_ON_REPEAT_FAILURE), and checklists (Steps 5 and 7). | 5 / 5 |
Progressive Disclosure | Well-organized with clear section headers and no nested references, but the ~250-line body with large venue and error-fix tables is monolithic inline content rather than an overview pointing to one-level-deep reference files. | 4 / 5 |
Total | 16 / 20 Passed |