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Deeptools

Checked
jackspace·vlatest·other·MIT

Deeptools analyzes complex data sets to uncover hidden patterns and insights, boosting 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 jackspace/claudeskillz --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

jackspace

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

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned jackspace/claudeskillz at aef4e299d1.

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

Commit
aef4e299d1
Manifest
skills/scientific-pkg-deeptools/SKILL.md
Scanned
2 files, 539 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

This skill provides access to DeepTools, a suite of tools for analyzing and interpreting genomic data. It allows AI agents to perform tasks like calculating coverage statistics, identifying variant frequencies, and generating visualizations from sequencing data. The skill aims to simplify complex bioinformatics workflows within an AI agent environment.

When to use it

  • Analyzing whole genome sequencing (WGS) data to identify potential genetic variants.
  • Calculating read depth coverage across a genomic region of interest.
  • Generating plots and reports summarizing key metrics from sequencing experiments.
  • Automating repetitive bioinformatics tasks within a research pipeline.

Key capabilities

  • Coverage statistics calculation
  • Variant frequency identification
  • Visualization generation
  • Bioinformatics workflow automation

Example prompts

  • "Calculate the read depth coverage for chromosome 1 in this BAM file."
  • "Generate a plot showing variant frequencies across this genomic region."
  • "Analyze this sequencing data and identify any regions with unusually high or low coverage."

Tips & gotchas

This skill requires familiarity with genomic data formats (e.g., BAM, VCF). Ensure the AI agent has access to the necessary input files before execution.