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Deeptools

Checked
ovachiever·vlatest·other

Deeptools analyzes complex data sets to uncover hidden patterns and insights, boosting research & decision-making efficiency.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add ovachiever/droid-tings --skill deeptools -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ovachiever

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ovachiever/droid-tings at 7acd12a754.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7acd12a754
Manifest
skills/deeptools/SKILL.md
Scanned
8 files, 2,621 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The ovachiever-deeptools skill provides access to DeepTools, a suite of tools for analyzing and interpreting genomic data. It allows AI agents to perform tasks such as calculating differential methylation, performing ATAC-seq peak annotation, and generating heatmaps from genomic datasets. This skill is particularly useful for researchers working with epigenomic data.

When to use it

  • Analyzing RNA sequencing (RNA-Seq) data to identify differentially expressed genes between experimental conditions.
  • Performing quality control on single-cell ATAC-seq data by identifying and removing low-quality cells.
  • Generating heatmaps visualizing genomic regions with significant changes in methylation patterns.
  • Annotating peaks identified from ATAC-seq experiments, linking them to known regulatory elements.
  • Investigating the impact of genetic variants on gene expression through differential methylation analysis.

Key capabilities

  • Differential Methylation Analysis
  • ATAC-seq Peak Annotation
  • Heatmap Generation
  • Quality Control for Single-Cell Data
  • Genomic Data Interpretation

Example prompts

  • "Run a differential methylation analysis on these bisulfite sequencing reads, comparing group A to group B."
  • "Annotate the peaks from this ATAC-seq experiment using the latest gene annotation file."
  • “Generate a heatmap showing the average methylation level across each chromosome.”

Tips & gotchas

The skill requires familiarity with genomic data formats (e.g., BAM, BED). Ensure that input files are properly formatted and indexed for optimal performance.