Agent skill

Variant Analysis Tools

by DrugClaw in DrugClaw/DrugClaw

Variant and VCF workflow guide for local SNV, indel, and structural-variant summarization, filtering, and consequence triage.

Apache-2.0Auto-check passedResearch & Science

Install Variant Analysis Tools

skills CLI
$ npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DrugClaw/DrugClaw variant-analysis-tools --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/genomics/variant-analysis-tools .claude/skills/variant-analysis-tools && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
variant-analysis-tools
GitHub stars
125
Token cost
~722 tokens
SKILL.md length
236 words
Files
2
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

Variant and VCF workflow guide for local SNV, indel, and structural-variant summarization, filtering, and consequence triage.

  • Works in 5 steps: Confirm which sample to read when the… → Decide whether the user wants raw… → Apply explicit filters for VAF, depth,… → …
  • The user asks to inspect a VCF
  • SKILL.md covers Environment Check, Bundled Asset, Preferred Workflow and Quick Start, plus 2 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Variant Analysis Tools is an agent skill from DrugClaw/DrugClaw. Variant and VCF workflow guide for local SNV, indel, and structural-variant summarization, filtering, and consequence triage. Use when the user asks to inspect a VCF, count mutation classes, filter by VAF or depth, summarize genes or consequences, or prepare a local variant report before downstream annotation.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `templates/variant_report.py`).

It sits in Research & Science, covering Summarization and Bioinformatics. The repository describes itself as: 💊 AI Research Assistant for Accelerated Drug Discovery. 🦞. The licence is Apache-2.0.

When your agent uses it

  • The user asks to inspect a VCF
  • Count mutation classes
  • Summarize genes
  • Prepare a local variant report before downstream annotation

Example prompts

  • “/variant-analysis-tools”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Confirm which sample to read when the VCF is multi-sample.
  2. Decide whether the user wants raw counts, filtered rows, or both.
  3. Apply explicit filters for VAF, depth, PASS status, and consequence terms.
  4. Export the filtered table plus a summary JSON.
  5. If the user wants clinical significance or population frequency, hand the filtered rows to bio-db-tools for ClinVar, gnomAD, or dbSNP…

What it can do on your machine

Read from SKILL.md and the folder at commit 960a6e0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Variant Analysis Tools loads about 722 tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 236 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~722

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DrugClaw/DrugClaw at commit 960a6e0, republished under its Apache-2.0 licence (© DrugClaw). 236 words, ~722 tokens.

Download SKILL.mdSave it as .claude/skills/variant-analysis-tools/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
variant-analysis-tools
description
Variant and VCF workflow guide for local SNV, indel, and structural-variant summarization, filtering, and consequence triage. Use when the user asks to inspect a VCF, count mutation classes, filter by VAF or depth, summarize genes or consequences, or prepare a local variant report before downstream annotation.
source
drugclaw
updated_at
2026-03-11

Variant Analysis Tools

Use this skill when the user provides a VCF or BCF and wants concrete counts, filtering, or mutation summaries instead of only database lookup.

Typical triggers:

  • summarize the contents of a VCF or BCF
  • count SNVs, indels, or structural variants
  • filter by VAF, read depth, PASS status, or variant type
  • exclude intronic or intergenic consequences from a local callset
  • generate a machine-readable variant table before ClinVar, gnomAD, or dbSNP follow-up

Environment Check

bash
which python3 || true
python3 - <<'PY'
mods = ["pysam"]
for name in mods:
    try:
        __import__(name)
        print(f"{name}: ok")
    except Exception as exc:
        print(f"{name}: missing ({exc})")
PY

Do not claim VCF analysis ran if pysam is unavailable.

Bundled Asset

  • templates/variant_report.py

Preferred Workflow

  1. Confirm which sample to read when the VCF is multi-sample.
  2. Decide whether the user wants raw counts, filtered rows, or both.
  3. Apply explicit filters for VAF, depth, PASS status, and consequence terms.
  4. Export the filtered table plus a summary JSON.
  5. If the user wants clinical significance or population frequency, hand the filtered rows to bio-db-tools for ClinVar, gnomAD, or dbSNP follow-up.

Quick Start

bash
python3 templates/variant_report.py \
  --input cohort/sample.vcf.gz \
  --sample TUMOR \
  --pass-only \
  --min-vaf 0.05 \
  --min-depth 20 \
  --exclude-consequence intronic \
  --exclude-consequence intergenic \
  --output variants/sample_filtered.csv \
  --summary variants/sample_filtered.json

Structural-variant focused example:

bash
python3 templates/variant_report.py \
  --input sv_calls.vcf.gz \
  --include-variant-type DEL \
  --include-variant-type DUP \
  --output variants/sv_subset.csv \
  --summary variants/sv_subset.json

Output Expectations

Good answers should mention:

  • the exact variant file and sample used
  • which filters were applied
  • total records seen versus retained
  • variant-type and consequence distributions
  • top affected genes after filtering
  • where the CSV and summary JSON were written

For ClinVar, Ensembl, gnomAD, or dbSNP lookups, activate bio-db-tools. For statistical testing or survival modeling on variant-derived burden tables, activate stat-modeling-tools or survival-analysis-tools. For target-level interpretation around genes hit by the variants, activate target-intelligence-tools.

© DrugClaw, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/genomics/variant-analysis-tools of DrugClaw/DrugClaw.

  • SKILL.md
  • templates/variant_report.py

Open the folder on GitHubat commit 960a6e0

Compare with similar skills

Variant Analysis Tools next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Variant Analysis Tools compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Variant Analysis Tools this skillDrugClaw/DrugClaw125—~722Automated safety check: PassApache-2.0
Bio Phylo Bayesian InferenceGPTomics/bioSkills1.2k1 repos~6.9kAutomated safety check: PassMIT
Bioconductor MsstatslipbioMate-AI/biomate-bioconductor-kb804—~1.1kAutomated safety check: PassCustom licence
Bio Proteomics QuantificationGPTomics/bioSkills1.2k1 repos~5.9kAutomated safety check: PassMIT
Rebuttal ResponseM1n-n9/paper-lifecycle692—~1.9kAutomated safety check: PassNone
Daily Paper DigestGalaxy-Dawn/claude-scholar5.7k—~1kAutomated safety check: PassMIT

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Questions about Variant Analysis Tools

What does Variant Analysis Tools do?

Variant and VCF workflow guide for local SNV, indel, and structural-variant summarization, filtering, and consequence triage. Variant Analysis Tools is an agent skill from DrugClaw/DrugClaw. Variant and VCF workflow guide for local SNV, indel, and structural-variant summarization, filtering, and consequence triage.

When should I use Variant Analysis Tools?

Variant Analysis Tools fits situations like: the user asks to inspect a VCF; count mutation classes; summarize genes; prepare a local variant report before downstream annotation.

How do I install Variant Analysis Tools in Claude Code?

Run `npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a claude-code`. Or copy the skill folder (skills/genomics/variant-analysis-tools in DrugClaw/DrugClaw) into .claude/skills/variant-analysis-tools in your project. Claude Code loads it when a task matches its description.

How do I install Variant Analysis Tools in Codex?

Run `npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a codex`. Or copy the skill folder (skills/genomics/variant-analysis-tools in DrugClaw/DrugClaw) into .agents/skills/variant-analysis-tools in your project. Codex loads it when a task matches its description.

Can I use Variant Analysis Tools in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/variant-analysis-tools, .gemini/skills/variant-analysis-tools, .github/skills/variant-analysis-tools and .opencode/skills/variant-analysis-tools in your project.

What does Variant Analysis Tools need to run?

Going by SKILL.md and its folder, Variant Analysis Tools needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Variant Analysis Tools access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Variant Analysis Tools safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Variant Analysis Tools use?

Variant Analysis Tools is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Variant Analysis Tools use?

About 722 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Variant Analysis Tools?

Skills that share tags, products or a category with Variant Analysis Tools: Bio Phylo Bayesian Inference (GPTomics/bioSkills, 1.2k stars), Bioconductor Msstatslip (bioMate-AI/biomate-bioconductor-kb, 804 stars), Bio Proteomics Quantification (GPTomics/bioSkills, 1.2k stars) and Rebuttal Response (M1n-n9/paper-lifecycle, 692 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Variant Analysis Tools?

DrugClaw (a GitHub organization) maintains it in DrugClaw/DrugClaw, which has 125 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on March 23, 2026.

Source: DrugClaw/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.