dvcrn Abstract Trimmer
Precision editing tool that reduces abstract word count through intelligent compression techniques, maintaining scientific rigor while meeting strict journal and conference requirements.
Features
- Smart Compression: Multiple strategies (aggressive, conservative, balanced)
- Key Information Preservation: Retains critical findings and statistics
- Structural Integrity: Maintains Background-Methods-Results-Conclusion flow
- Quantitative Safety: Protects numbers, P-values, and confidence intervals
- Batch Processing: Trim multiple abstracts efficiently
- Quality Validation: Post-trim readability and accuracy checks
Usage
Basic Usage
# Trim abstract from file
python scripts/main.py --input abstract.txt --target 250
# Trim abstract from command line
python scripts/main.py --text "Your abstract here..." --target 200
# Check word count only
python scripts/main.py --input abstract.txt --target 250 --check-only
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--input, -i |
str | None | No | Input file containing abstract |
--text, -t |
str | None | No | Abstract text (alternative to --input) |
--target, -T |
int | 250 | No | Target word count |
--strategy, -s |
str | balanced | No | Trimming strategy (conservative/balanced/aggressive) |
--output, -o |
str | None | No | Output file path |
--check-only, -c |
flag | False | No | Only check word count without trimming |
--format |
str | json | No | Output format (json/text) |
Advanced Usage
# Aggressive trimming with text output
python scripts/main.py \
--input abstract.txt \
--target 200 \
--strategy aggressive \
--format text \
--output trimmed.txt
# Batch check multiple abstracts
for file in *.txt; do
python scripts/main.py --input "$file" --target 250 --check-only
done
Trimming Strategies
| Strategy | Approach | Best For |
|---|---|---|
| Conservative | Remove filler words, simplify sentences | Minor trims (10-20 words) |
| Balanced | Condense phrases, merge sentences | Moderate trims (20-50 words) |
| Aggressive | Remove secondary details, abbreviate | Major trims (50+ words) |
Output Format
JSON Output
{
"trimmed_abstract": "Compressed abstract text...",
"original_words": 320,
"final_words": 248,
"reduction_percent": 22.5
}
Text Output
Compressed abstract text...
Technical Difficulty: LOW
⚠️ AI自主验收状态: 需人工检查
This skill requires:
- Python 3.7+ environment
- No external dependencies
Dependencies
Required Python Packages
pip install -r requirements.txt
Requirements File
No external dependencies required (uses only Python standard library).
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python scripts executed locally | Low |
| Network Access | No network access | Low |
| File System Access | Read/write text files only | Low |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | No sensitive data exposure | 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
- Output directory restricted to workspace
- Script execution in sandboxed environment
- Error messages sanitized
- Dependencies audited
Prerequisites
# No dependencies required
python scripts/main.py --help
Evaluation Criteria
Success Metrics
- Successfully trims abstracts to target word count
- Preserves key scientific information
- Maintains grammatical correctness
- Handles edge cases gracefully
Test Cases
- Basic Trimming: Input abstract → Trimed to target word count
- Check Mode: --check-only flag → Reports word count statistics
- File I/O: Read from file, write to file → Correct file handling
- Different Strategies: All three strategies work → Different compression levels
Lifecycle Status
- Current Stage: Draft
- Next Review Date: 2026-03-15
- Known Issues: None
- Planned Improvements:
- Enhanced protection for quantitative data
- Support for structured abstracts
- Batch processing mode
References
See references/ for:
- Compression strategies documentation
- Protected elements guidelines
- Journal word limits by publisher
Limitations
- Language: Optimized for English academic abstracts
- Content Type: Designed for structured abstracts (BMRC format)
- No Rewriting: Only removes/compresses; doesn't rephrase
- Final Review: Automated trimming requires human validation
✂️ Remember: This tool helps meet word limits, but never sacrifice scientific accuracy. Always validate that trimmed abstracts maintain the integrity of your findings.