- name
- conference-abstract-adaptor
- description
- Adapt abstracts to meet specific conference word limits and formats
- version
- 1.0.0
- category
- Research
- tags
- []
- author
- AIPOCH
- license
- MIT
- status
- Draft
- risk_level
- Medium
- skill_type
- Tool/Script
- owner
- AIPOCH
- reviewer
- last_updated
- 2026-02-06
Conference Abstract Adaptor
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
# 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-conferencesSupported 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
- 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