Skillshub methylation-clock

Compute epigenetic age from DNA methylation arrays using PyAging clocks from GEO accessions or local files.

install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ClawBio/ClawBio/methylation-clock" ~/.claude/skills/comeonoliver-skillshub-methylation-clock && rm -rf "$T"
manifest: skills/ClawBio/ClawBio/methylation-clock/SKILL.md
source content

Methylation Clock

Domain Decisions

Epigenetic age workflows are difficult to reproduce because preprocessing and clock inputs differ across tools and publications. This skill standardizes a PyAging-first pipeline from ingestion to report generation, with explicit reproducibility outputs.

Core Capabilities

  1. Accepts exactly one input source: GEO accession (
    --geo-id
    ) or local methylation file (
    --input
    ).
  2. Applies notebook-aligned preprocessing (female derivation and EPICv2 aggregation by default).
  3. Converts tabular data to AnnData and runs one or more methylation clocks.
  4. Exports predictions, missing-feature diagnostics, metadata, figures, and reproducibility artifacts.

Input Contract

  • Exactly one input source:
    • GEO accession with
      --geo-id
      (example:
      GSE139307
      )
    • Local file with
      --input
      (
      .pkl
      ,
      .pickle
      ,
      .csv
      ,
      .tsv
      ,
      .csv.gz
      ,
      .tsv.gz
      )
  • Required output directory via
    --output
  • Optional clock list via
    --clocks

Demo And Usage

Demo fixture provenance and checksum are documented in

skills/methylation-clock/data/PROVENANCE.md
.

Install optional methylation-clock dependency (not part of the global base requirements):

pip install pyaging>=0.1
# Demo
python skills/methylation-clock/methylation_clock.py \
  --input skills/methylation-clock/data/GSE139307_small.csv.gz \
  --output /tmp/methylation_clock_demo

# GEO input
python skills/methylation-clock/methylation_clock.py \
  --geo-id GSE139307 \
  --output /tmp/methylation_clock_geo

# Local methylation file
python skills/methylation-clock/methylation_clock.py \
  --input my_methylation.pkl \
  --clocks Horvath2013,AltumAge,PCGrimAge,GrimAge2,DunedinPACE \
  --output /tmp/methylation_clock_local

Output Structure

methylation_clock_report/
├── report.md
├── figures/
│   ├── clock_distributions.png
│   └── clock_correlation.png
├── tables/
│   ├── predictions.csv
│   ├── prediction_summary.csv
│   ├── missing_features.csv
│   └── clock_metadata.json
└── reproducibility/
    ├── commands.sh
    ├── environment.yml
    └── checksums.sha256

Safety Rules

  1. ClawBio is local-first: user methylation data must remain on-device.
  2. The skill refuses non-empty output directories to avoid silent overwrite.
  3. Reports must include this disclaimer: "ClawBio is a research and educational tool. It is not a medical device and does not provide clinical diagnoses. Consult a healthcare professional before making any medical decisions."

Agent Boundary

  1. Route methylation clock requests to
    skills/methylation-clock/methylation_clock.py
    .
  2. Do not infer clinical diagnosis or treatment from clock estimates.
  3. Trigger terms include: epigenetic age, methylation clock, Horvath, GrimAge, DunedinPACE, GEO, GSE.
  4. Valid downstream chaining:
    rnaseq-de
    for transcriptomic-aging contrasts and
    equity-scorer
    for cohort context.