Conference Abstract Adaptor

Adapt abstracts to meet specific conference word limits and formats

Conference-specific abstract formatting.

Use Cases

• Multi-conference submissions
• Word count compliance
• Format standardization
• Deadline management

Parameters

Parameter	Type	Default	Required	Description
--abstract, -a	string	-	Yes	Abstract text file path
--conference, -c	string	-	Yes	Target conference (ASGCT, ASCO, SfN, AACR, ASM)
--output, -o	string	-	No	Output file path
--list-conferences, -l	flag	-	No	List supported conferences

Usage

bash

# Adapt abstract for ASCO
python scripts/main.py --abstract my_abstract.txt --conference ASCO

# Save adapted abstract to file
python scripts/main.py --abstract my_abstract.txt --conference ASGCT --output adapted.txt

# List all supported conferences
python scripts/main.py --list-conferences

Supported Conferences

Conference	Word Limit	Format
ASGCT	250 words	Structured (Background/Methods/Results/Conclusion)
ASCO	260 words	Structured (Background/Methods/Results/Conclusion)
SfN	2000 chars	Single abstract
AACR	300 words	Structured (Background/Methods/Results/Conclusion)
ASM	300 words	Single abstract

Returns

• Reformatted abstract
• Word count verification
• Required sections checklist
• Submission-ready text

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

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