Agent Skills
SequencingNGS

FastQC Report Interpreter

AIPOCH-AI

Interpret the quality control report of next-generation sequencing (NGS), and explain the meaning of error messages such as "K-mer Content Fail" and their impact on subsequent analysis in plain language.

216
2
FILES
fastqc-report-interpreter/
skill.md
scripts
main.py

SKILL.md

FastQC Report Interpreter

NGS QC report translation tool.

Use Cases

  • Novice researcher guidance
  • Troubleshooting failed runs
  • Data quality assessment
  • Pipeline optimization

Parameters

ParameterTypeRequiredDefaultDescription
fastqc_datastrYes-FastQC report file path or content
library_typestrNo"DNA"Library type: "DNA", "RNA", or "single-cell"

Returns

  • Plain language explanations
  • Severity assessment (PASS/WARN/FAIL)
  • Actionable recommendations
  • Impact on downstream analysis

Example

"K-mer Content Fail → Adapter contamination detected → Trim adapters"

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

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

  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