NIH Biosketch Builder

ID: 101
Version: 1.0.0
NIH Format: 2022 OMB-approved version

Functions

Automatically generate NIH Biosketch documents in the 2022 format for NIH grant applications.

NIH Biosketch Format Requirements (2022 Version)

Required Sections

1. Personal Statement - Personal statement (max 1 page)
2. Positions and Honors - Positions and honors
3. Contributions to Science - Scientific contributions (max 4 items)
4. Research Support - Research support (optional)

Format Specifications

• Page count: No more than 5 pages
• Fonts: Arial, Helvetica, Palatino Linotype, or Georgia, ≥11pt
• Margins: ≥0.5 inches
• Line spacing: Single or double

Usage

Command Line

python skills/nih-biosketch-builder/scripts/main.py --input data.json --output biosketch.docx

Input Data Format (JSON)

{
  "personal_info": {
    "name": "Zhang San",
    "position": "Associate Professor",
    "department": "Department of Biology",
    "organization": "University of Example",
    "email": "[email protected]"
  },
  "personal_statement": "Your personal statement text here...",
  "positions_and_honors": [
    {"year": "2020-present", "position": "Associate Professor", "institution": "University of Example"}
  ],
  "contributions": [
    {
      "title": "Breakthrough in Cancer Research",
      "description": "Detailed description of contribution...",
      "publications": ["PMID:12345678", "DOI:10.1000/example"]
    }
  ],
  "research_support": [
    {"title": "R01 Grant", "agency": "NIH", "period": "2021-2026", "amount": "$1,500,000"}
  ]
}

SCI Paper Auto-import

# Automatically retrieve paper information via PMID
python skills/nih-biosketch-builder/scripts/main.py --import-pubmed "12345678,23456789" --output publications.json

# Auto-fill into biosketch
python skills/nih-biosketch-builder/scripts/main.py --input data.json --auto-import-pubmed --output biosketch.docx

Dependencies

• Python 3.8+
• python-docx
• requests (for PubMed API)

Install dependencies:

pip install python-docx requests

Output Format

Generate DOCX file in NIH official template format, ready to use for grant applications.

References

• NIH Biosketch Format Instructions
• SciENcv - NIH official tool

Risk Assessment

Risk Indicator	Assessment	Level
Code Execution	Python scripts with tools	High
Network Access	External API calls	High
File System Access	Read/write data	Medium
Instruction Tampering	Standard prompt guidelines	Low
Data Exposure	Data handled securely	Medium

Security Checklist

• No hardcoded credentials or API keys
• No unauthorized file system access (../)
• Output does not expose sensitive information
• Prompt injection protections in place
• API requests use HTTPS only
• Input validated against allowed patterns
• API timeout and retry mechanisms implemented
• Output directory restricted to workspace
• Script execution in sandboxed environment
• Error messages sanitized (no internal paths exposed)
• Dependencies audited
• No exposure of internal service architecture

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

1. Basic Functionality: Standard input → Expected output
2. Edge Case: Invalid input → Graceful error handling
3. 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