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
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
fastqc_data | str | Yes | - | FastQC report file path or content |
library_type | str | No | "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 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
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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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