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

--input

-i

--text

-t

--target

-T

--strategy

-s

--output

-o

--check-only

-c

--format

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

• 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

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/

• 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.