sanger-chromatogram-qa

Installation
SKILL.md

Sanger Chromatogram QA

Sequencing quality assessment.

Use Cases

  • Mutation verification
  • Clone confirmation
  • Genotyping QC
  • SNP validation

Parameters

  • ab1_file: Chromatogram
  • expected_seq: Reference
  • variant_pos: Mutation site

Returns

  • Quality scores
  • Mixed peak detection
  • Variant confirmation
  • Repeat recommendation

Example

Flags heterozygous peak at position 234

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

# Python dependencies
pip install -r requirements.txt

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
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Installs
1
GitHub Stars
568
First Seen
Mar 17, 2026