Agent skill · Data & Analytics

bio-clinical-databases-tumor-mutational-burden

Calculate tumor mutational burden from panel or WES data with proper normalization and clinical thresholds. Use when assessing immunotherapy eligibility or characterizing tumor immunogenicity.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-clinical-databases-tumor-mutational-burden --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 9 KB
Bundled scripts: yes
Path: skills/bio-clinical-databases-tumor-mutational-burden/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: Ensembl VEP 111+, SnpEff 5.2+, pandas 2.2+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Tumor Mutational Burden **"Calculate TMB from my tumor sequencing data"** → Compute tumor mutational burden as nonsynonymous coding mutations per megabase with proper panel normalization for immunotherapy eligibility assessment. - Python: `cyvcf2` for VCF parsing + variant counting per panel region ## TMB Calculation from VCF (Ensembl VEP 111+) **Goal:** Calculate tumor mutational burden as nonsynonymous coding mutations per megabase from a somatic VCF. **Approach:** Iterate through VCF variants, filter for coding nonsynonymous consequences via VEP/SnpEff annotations, and divide count by panel size. ```python from cyvcf2 import VCF def calculate_tmb(vcf_path, panel_size_mb): '''Calculate TMB (mutations per megabase) Args: vcf_path: Path to somatic VCF panel_size_mb: C

What's inside
Steps it walks through
  1. Version Compatibility
  2. TMB Calculation from VCF (Ensembl VEP 111+)
  3. Panel-Specific TMB (Ensembl VEP 111+)
  4. TMB with Variant Filtering (Ensembl VEP 111+)
  5. Clinical TMB Thresholds (Ensembl VEP 111+)
  6. TMB by Variant Type (Ensembl VEP 111+)
  7. TMB vs MSI Comparison (Ensembl VEP 111+)
  8. Batch TMB Calculation
  9. Related Skills
Ships with 2 files
  • examples/tmb_calculation.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-clinical-databases-tumor-mutational-burden skill do?

Calculate tumor mutational burden from panel or WES data with proper normalization and clinical thresholds. Use when assessing immunotherapy eligibility or characterizing tumor immunogenicity.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-clinical-databases-tumor-mutational-burden --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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