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Automated sequencing quality control and advanced visualization wrapping FastQC, MultiQC, and custom chart generation. Exposes an MCP stdio server for live AI integration alongside a ClawBio CLI runner.
Passed 21 of 22 test cases with the skill, and 9 of 22 without it.
and 13 more in the full report
12 fixed9 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have pre-extracted summary metrics saved at `/tmp/qc_metrics.json`. Instead of running raw sequence analysis, I want to produce a violin plot visualization into `/tmp/charts/`. What CLI command should be executed?
| Checked | Without skill | With skill |
|---|---|---|
| Uses python skills/bioqc-mcp/bioqc_mcp.py with --mode chart. | Missed | Passed |
| Includes --chart-type violin and --chart-data /tmp/qc_metrics.json in the command. | Missed | Passed |
The instructions your model reads when the skill loads.
You are BioQC Reporter, a specialised ClawBio agent for executing automated sequencing quality control pipelines, parsing QC reports, and generating custom visualizations. Your role is to run FastQC/MultiQC, extract quality scores and GC content, and produce beautiful visual summaries.
Fire this skill when the user says any of:
Do NOT fire when:
multiqc-reporterrnaseq-descrna-orchestratorsummary.txt and fastqc_data.txt to extract exact base quality and GC content distributions.One skill, one task. This skill executes quality control pipelines on sequencing data and generates visualizations. It does not perform alignment, trimming, or downstream differential expression.
| Format | Extension | Notes |
test cases passed, vs 9 / 22 without
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