IACUC Protocol Drafter
ID: 105
Name: IACUC Protocol Drafter
Description: Draft Institutional Animal Care and Use Committee (IACUC) protocol applications, especially the justification section for the "3Rs principles" (Replacement, Reduction, Refinement).
Requirements
- Python 3.8+
- No additional dependencies (uses standard library)
Usage
# Generate local file
python skills/iacuc-protocol-drafter/scripts/main.py --input protocol_input.json --output iacuc_protocol.txt
# Use stdin/stdout
cat protocol_input.json | python skills/iacuc-protocol-drafter/scripts/main.py
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--input, -i |
string | - | Yes | Path to input JSON file with protocol details |
--output, -o |
string | stdout | No | Output file path for generated protocol |
--template |
string | standard | No | Template type (standard, minimal, detailed) |
--format |
string | text | No | Output format (text, markdown, docx) |
Input Format (JSON)
{
"title": "Experiment Title",
"principal_investigator": "Principal Investigator Name",
"institution": "Research Institution Name",
"species": "Experimental Animal Species",
"number_of_animals": 50,
"procedure_description": "Brief description of experimental procedures",
"pain_category": "B",
"justification": {
"replacement": {
"alternatives_considered": ["In vitro experiments", "Computer simulation"],
"why_animals_needed": "Reasons why animals must be used"
},
"reduction": {
"sample_size_calculation": "Sample size calculation method and rationale",
"minimization_strategies": "Strategies to minimize animal numbers"
},
"refinement": {
"pain_management": "Pain management measures",
"housing_enrichment": "Housing environment optimization",
"humane_endpoints": "Humane endpoint setting"
}
}
}
Output
Generate IACUC-standard application text, including a complete 3Rs principles justification section.
Templates
Built-in standard templates cover:
- Replacement: Justification for why live animals must be used
- Reduction: Explanation of statistical basis for sample size calculation
- Refinement: Description of measures to reduce pain and stress
Notes
- Generated content should be used as a draft and adjusted according to actual conditions
- It is recommended to consult your institution's IACUC office for specific format requirements
- Ensure all animal experiments comply with local regulations and institutional policies
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