Bio Phylo Bayesian Inference
GPTomics/bioSkills
Frames Bayesian phylogenetics as approximating a posterior distribution over trees conditioned on data AND priors via an MCMC that must be proven to have converged, using MrBayes, BEAST2, RevBayes…
Variant and VCF workflow guide for local SNV, indel, and structural-variant summarization, filtering, and consequence triage.
$ npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DrugClaw/DrugClaw variant-analysis-tools --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "variant-analysis-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/genomics/variant-analysis-tools into .claude/skills/variant-analysis-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "variant-analysis-tools", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/DrugClaw/DrugClaw/tree/main/skills/genomics/variant-analysis-toolsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DrugClaw/DrugClaw variant-analysis-tools --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/genomics/variant-analysis-tools .agents/skills/variant-analysis-tools && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "variant-analysis-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/genomics/variant-analysis-tools into .agents/skills/variant-analysis-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "variant-analysis-tools", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DrugClaw/DrugClaw variant-analysis-tools --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/genomics/variant-analysis-tools .cursor/skills/variant-analysis-tools && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "variant-analysis-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/genomics/variant-analysis-tools into .cursor/skills/variant-analysis-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "variant-analysis-tools", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/DrugClaw/DrugClaw.git --path skills/genomics/variant-analysis-tools--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DrugClaw/DrugClaw variant-analysis-tools --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/genomics/variant-analysis-tools .gemini/skills/variant-analysis-tools && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "variant-analysis-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/genomics/variant-analysis-tools into .gemini/skills/variant-analysis-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "variant-analysis-tools", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install DrugClaw/DrugClaw variant-analysis-toolsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/genomics/variant-analysis-tools .github/skills/variant-analysis-tools && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "variant-analysis-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/genomics/variant-analysis-tools into .github/skills/variant-analysis-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "variant-analysis-tools", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DrugClaw/DrugClaw --skill variant-analysis-tools -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DrugClaw/DrugClaw variant-analysis-tools --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/genomics/variant-analysis-tools .opencode/skills/variant-analysis-tools && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "variant-analysis-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/genomics/variant-analysis-tools into .opencode/skills/variant-analysis-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "variant-analysis-tools", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
variant-analysis-toolsVariant 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. 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 960a6e0. It shows what the files ask for, not the result of running them.
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.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from DrugClaw/DrugClaw at commit 960a6e0, republished under its Apache-2.0 licence (© DrugClaw). 236 words, ~722 tokens.
.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.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:
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})")
PYDo not claim VCF analysis ran if pysam is unavailable.
templates/variant_report.pybio-db-tools for ClinVar, gnomAD, or dbSNP follow-up.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.jsonStructural-variant focused example:
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.jsonGood answers should mention:
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
SKILL.md and 1 other file in skills/genomics/variant-analysis-tools of DrugClaw/DrugClaw.
Open the folder on GitHubat commit 960a6e0
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Variant Analysis Tools this skillDrugClaw/DrugClaw | 125 | — | ~722 | Automated safety check: Pass | Apache-2.0 | |
| Bio Phylo Bayesian InferenceGPTomics/bioSkills | 1.2k | 1 repos | ~6.9k | Automated safety check: Pass | MIT | |
| Bioconductor MsstatslipbioMate-AI/biomate-bioconductor-kb | 804 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Bio Proteomics QuantificationGPTomics/bioSkills | 1.2k | 1 repos | ~5.9k | Automated safety check: Pass | MIT | |
| Rebuttal ResponseM1n-n9/paper-lifecycle | 692 | — | ~1.9k | Automated safety check: Pass | None | |
| Daily Paper DigestGalaxy-Dawn/claude-scholar | 5.7k | — | ~1k | Automated safety check: Pass | MIT |
GPTomics/bioSkills
Frames Bayesian phylogenetics as approximating a posterior distribution over trees conditioned on data AND priors via an MCMC that must be proven to have converged, using MrBayes, BEAST2, RevBayes…
bioMate-AI/biomate-bioconductor-kb
Tools for LiP peptide and protein significance analysis. An agent skill from bioMate-AI/biomate-bioconductor-kb.
GPTomics/bioSkills
Quantifies protein abundance from mass spectrometry using label-free (LFQ/MaxLFQ, DIA fragment-level), isobaric (TMT/iTRAQ reporter ions, MS2 vs SPS-MS3), and metabolic (SILAC) approaches, including…
M1n-n9/paper-lifecycle
Plan, triage, and write academic rebuttals and review responses.
Galaxy-Dawn/claude-scholar
Finds recent arXiv and bioRxiv papers on a topic, narrows them in stages to one pick per field, and writes bilingual Chinese and English summaries.
Jinze-Lee/codex-skills-workbench
Follow the bundled literature-synthesis guide. An agent skill from Jinze-Lee/codex-skills-workbench.
DrugClaw/DrugClaw
Query public biology databases and APIs including UniProt, RCSB PDB, AlphaFold DB, ClinVar, dbSNP, gnomAD, Ensembl, GEO, InterPro, KEGG, OpenTargets, Reactome, and STRING.
DrugClaw/DrugClaw
Gene regulatory network workflow guide for transcriptomics and single-cell expression matrices using Arboreto, GRNBoost2, and GENIE3.
DrugClaw/DrugClaw
Drug-discovery knowledge-graph workflow guide for assembling drug-target-disease-pathway relationship graphs from OpenTargets GraphQL, ChEMBL REST, STRING PPI, and Reactome pathway APIs, then…
DrugClaw/DrugClaw
Research-literature workflow guide for evidence-matrix assembly, citation-table normalization, structured review synthesis, and research-gap mapping.
DrugClaw/DrugClaw
Medical data workflow guide for DICOM metadata inspection and basic de-identification, physiological signal analysis with NeuroKit2, and cohort-table profiling for clinical research datasets.
DrugClaw/DrugClaw
Omics and single-cell workflow guide for AnnData, Scanpy-style dataset profiling, PyDESeq2-oriented count checks, pysam alignment inspection, and pyOpenMS mass-spectrometry summaries.
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.