Agent skill · Testing & QA

bio-tumor-fraction-estimation

Estimates circulating tumor DNA fraction from shallow whole-genome sequencing using ichorCNA. Detects copy number alterations via HMM segmentation and calculates ctDNA percentage. Requires 0.1-1x sWGS coverage. Use when quantifying tumor burden from liquid biopsy or monitoring treatment response.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-tumor-fraction-estimation --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/bio-tumor-fraction-estimation/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: CNVkit 0.9+, ichorCNA 0.5+, 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 - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Tumor Fraction Estimation **"Estimate tumor fraction from my cfDNA data"** → Calculate the proportion of tumor-derived DNA in a liquid biopsy sample using copy number aberrations from shallow whole-genome sequencing. - R: `ichorCNA` for tumor fraction and CNA estimation from sWGS Estimate ctDNA tumor fraction from shallow whole-genome sequencing. ## ichorCNA Overview ichorCNA (GavinHaLab fork, v0.5.1+) detects copy number alterations and estimates tumor fraction from sWGS (0.1-1x coverage). **Sensitivity:** 97-100% detection at >= 3% tumor fraction (2024 validation) ## Input Requirements | Requirement | Specification | |-------------|---------------| | Data type | sWGS (NOT targeted panel) | | Cove

What's inside
Steps it walks through
  1. Version Compatibility
  2. ichorCNA Overview
  3. Input Requirements
  4. Running ichorCNA
  5. Batch Processing
  6. Parsing Results
  7. Python Wrapper
  8. Interpretation
  9. Related Skills
Ships with 2 files
  • examples/estimate_tumor_fraction.R
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-tumor-fraction-estimation skill do?

Estimates circulating tumor DNA fraction from shallow whole-genome sequencing using ichorCNA. Detects copy number alterations via HMM segmentation and calculates ctDNA percentage. Requires 0.1-1x sWGS coverage. Use when quantifying tumor burden from liquid biopsy or monitoring treatment response.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-tumor-fraction-estimation --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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