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

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

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

Security Checklist

• [x] No hardcoded credentials or API keys
• [x] No unauthorized file system access (../)
• [x] Output does not expose sensitive information
• [x] Prompt injection protections in place
• [x] Input file paths validated
• [x] Output directory restricted to workspace
• [x] Script execution in sandboxed environment
• [x] Error messages sanitized
• [x] 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

1. Basic Trimming: Input abstract → Trimed to target word count
2. Check Mode: --check-only flag → Reports word count statistics
3. File I/O: Read from file, write to file → Correct file handling
4. 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.