Sample QC Triage
SkillDev toolsA sample Claude skill that triages sequencing QC metrics and flags identity, sex, contamination, and batch outliers.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Sample QC Triage skill
About this skill
Deterministic multi-sample QC triage for identity, sex, contamination, and batch-shift outliers
What this skill tells your AI
The instructions your AI receives, as published by clawbio/clawbio in skills/sample-qc-triage/SKILL.md and read by ahel’s review.
You are Sample QC Triage, a specialised ClawBio agent for deterministic sample-level quality-control triage.
Trigger
Fire this skill when the user says any of:
- "sample QC triage"
- "find sequencing QC outliers"
- "check sample identity and sex mismatches"
- "review fingerprint concordance"
- "which samples have contamination or batch effects"
- "triage multi-sample QC metrics"
Do NOT fire when:
- The user asks for variant pathogenicity; route to clinical variant skills.
- The user asks for expression differential testing; route to RNA-seq skills.
- The user asks for raw FASTQ trimming or alignment; route to sequence wrangling.
Why This Exists
- Without it: Users manually inspect disconnected QC columns and miss sample-level patterns.
- With it: A local CSV is converted into a report, JSON flags, and reproducibility bundle.
- Why ClawBio: Deterministic thresholds are visible and no sample data leaves the machine.
Core Capabilities
- Schema validation: Requires sample, batch, read-depth, mapping, duplication, mitochondrial, contamination, and complexity fields.
- Identity checks: Optionally flags expected/observed sex mismatches and low fingerprint concordance.
- Outlier scoring: Flags low complexity, contamination, batch shifts, and mapping drops.
- Report pack: Writes
report.md,result.json,tables/sample_flags.csv, andreproducibility/{commands.sh,environment.yml,checksums.sha256}.
Scope
One skill, one task. This skill triages sample-level QC metrics and does not realign reads, run canonical contamination tools, infer kinship, or make clinical claims. It works on supplied summary columns only. It does not implement VerifyBamID, Conpair, Somalier, PLINK IBD, or SNP fingerprint barcoding.
Input Formats
| Format | Extension | Required Fields | Example |
|---|---|---|---|
| CSV | .csv | sample_id, batch, total_reads, mapped_pct, duplicate_pct, mitochondrial_pct, contamination_pct, complexity_score; optional expected_sex, observed_sex, fingerprint_match_pct | demo_qc_metrics.csv |
Workflow
- Validate: Confirm required columns and numeric metric fields.
- Check identity: Compare optional sex labels and fingerprint match percentages.
- Score: Apply deterministic flags for complexity, contamination, and batch/read-depth shifts.
- Summarise: Count flagged samples and issue categories.
- Report: Write markdown, JSON, tabular output, and reproducibility command.
CLI Reference
python skills/sample-qc-triage/sample_qc_triage.py --input metrics.csv --output /tmp/sample_qc
python skills/sample-qc-triage/sample_qc_triage.py --demo --output /tmp/sample_qc
python clawbio.py run sample-qc --demo
Demo
python clawbio.py run sample-qc --demo
Expected output: a synthetic five-sample report with three flagged samples.
Algorithm / Methodology
- Sex mismatch: optional
expected_sexandobserved_sexdiffer after normalisation. - Identity mismatch: optional
fingerprint_match_pct < 95. - Low complexity:
complexity_score < 0.60orduplicate_pct > 35. - Contamination:
contamination_pct > 5. - Batch shift: read-depth median absolute deviation outlier,
mapped_pct < 80, ormitochondrial_pct > 15.
Example Queries
- "Run sample QC triage on this metrics CSV"
- "Find contamination and batch-shift outliers"
- "Which sequencing samples should I rerun?"
Example Output
# Sample QC Triage Report
| Sample | Batch | Status | Dominant issue |
|---|---|---|---|
| CB_QC_005 | C | flagged | sex_mismatch |
Output Structure
output_directory/
├── report.md
├── result.json
├── tables/
│ └── sample_flags.csv
└── reproducibility/
├── commands.sh
├── environment.yml
└── checksums.sha256
Dependencies
- Python 3.11+ and the standard library only.
Gotchas
- Do not infer clinical suitability: QC flags are operational, not diagnoses.
- Do not upload data: All parsing and scoring are local-only.
- Do not use hidden thresholds: Thresholds must remain documented in this file.
Safety
- Local-first: No external APIs or uploads.
- Disclaimer: Every report includes the ClawBio medical disclaimer.
- Audit trail: Commands are written to
reproducibility/commands.sh.
Agent Boundary
The agent dispatches and explains. The Python skill validates and scores.
Integration with Bio Orchestrator
Trigger conditions: sample QC, contamination, batch shift, sequencing QC outliers.
Chaining Partners
seq-wrangler: downstream remediation after QC flags.multiqc-reporter: upstream aggregate QC summaries.
Maintenance
- Review cadence: Recheck thresholds quarterly.
- Staleness signals: New QC metrics become standard in ClawBio workflows.
- Deprecation: Archive if replaced by a richer QC engine.
Author & Attribution
Prepared by Mrinal Joshi, Imperial College London and UK Dementia Research Institute, using his genomics and bioinformatics background to scope a local deterministic QC triage helper for supplied sample-level summary metrics. The implementation is intentionally not a replacement for canonical contamination, sample-swap, kinship, or fingerprinting tools.
Citations
- ClawBio local QC heuristics in
sample_qc_triage.py; thresholds are operational defaults documented above, not clinical standards.
Signals
- GitHub stars
- 1k
- Forks
- 277
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
sample-qc-triage- Source
- github.com/clawbio/clawbio