| name | limitations-ethics-llm-disclosure |
| description | Use when drafting or auditing limitations, ethics, compute, data/code availability, and LLM-usage disclosure sections for CFD-AI/SciML papers. |
| version | 0.3.0 |
| author | CFD-AI Paper Skills maintainers |
| metadata | {"short-description":"Limitations, ethics, and LLM disclosure audit"} |
Limitations, Ethics, and LLM Disclosure
Trigger
Use near submission, revision, or when a manuscript needs honest limitations and disclosure language.
Checklist
- physical assumptions
- simulation assumptions
- generalization boundary
- dataset bias or generation limits
- compute/energy cost
- proprietary code/data limits
- safety/dual-use if relevant
- LLM use: writing, code generation, ideation, data analysis, method component
Output schema
| Area | Current statement | Missing risk | Suggested text |
|---|
Wording rule
Limitations should narrow claims without sabotaging the paper.
Anti-patterns
- Generic limitations such as "more work is needed" with no experiment boundary.
- Hiding LLM use in code, writing, or analysis when disclosure is required.
- Claiming sustainability, fairness, or safety benefits without evidence.
- Turning limitations into new unsupported claims.
Verification
- Do not disclose nonexistent use.
- Do not hide material LLM/method/data involvement.
- Match target journal policy when known.
