Agent skill
study-limitations-drafter
Transform study design flaws into professional limitation statements
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/study-limitations-drafter
SKILL.md
Study Limitations Drafter
Professional limitation statement generator.
Use Cases
- Manuscript limitation sections
- Grant proposal risk assessment
- Peer review responses
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
limitations |
list[str] | Yes | - | List of study design constraints |
severity |
str | No | "minor" | Impact level: "minor" or "major" |
mitigation |
list[str] | No | - | Steps taken to address each limitation |
Returns
- Professionally worded limitation paragraphs
- Balanced tone (honest but not self-defeating)
- Mitigation strategies
Example
"While the single-center design limits generalizability..."
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
Security Checklist
- No hardcoded credentials or API keys
- No unauthorized file system access (../)
- Output does not expose sensitive information
- Prompt injection protections in place
- Input file paths validated (no ../ traversal)
- Output directory restricted to workspace
- Script execution in sandboxed environment
- Error messages sanitized (no stack traces exposed)
- Dependencies audited
Prerequisites
No additional Python packages required.
Evaluation Criteria
Success Metrics
- Successfully executes main functionality
- Output meets quality standards
- Handles edge cases gracefully
- Performance is acceptable
Test Cases
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- Performance: Large dataset → Acceptable processing time
Lifecycle Status
- Current Stage: Draft
- Next Review Date: 2026-03-06
- Known Issues: None
- Planned Improvements:
- Performance optimization
- Additional feature support
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