Agent skill

Bioconductor Epigrahmm

by bioMate-AI in bioMate-AI/biomate-bioconductor-kb

epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models.

Custom licenceAuto-check passedResearch & Science

Install Bioconductor Epigrahmm

skills CLI
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-epigrahmm -a claude-code

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

GitHub CLI
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-epigrahmm --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/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/epigenomics/epigrahmm .claude/skills/bioconductor-epigrahmm && 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
bioconductor-epigrahmm
GitHub stars
804
Token cost
~1.7k tokens
SKILL.md length
512 words
Files
1
Skills in repo
112
Repo updated
First seen
Licence
Custom licence

At a glance

epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models.

  • Tasks that involve Bioinformatics
  • SKILL.md covers Workflows, When to Use, When NOT to Use and Data Requirements, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Bioconductor Epigrahmm is an agent skill from bioMate-AI/biomate-bioconductor-kb. epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models. It contains two separate peak callers, one for consensus peaks from biological or technical replicates, and one for differential peaks from multi-replicate multi-condition experiments. In differential peak calling, epigraHMM provides window-specific posterior probabilities associated with every possible combinatorial pattern of read enrichment across conditions.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Bioinformatics. The repository describes itself as: BioMate-KB Bioconductor Skills — 200 packages (top 100 by downloads + 100 rising stars) as vignette-grounded Claude/agent skills, with per-package workflow recipes.

When your agent uses it

  • Tasks that involve Bioinformatics

Example prompts

  • “/bioconductor-epigrahmm”

What it can do on your machine

Read from SKILL.md and the folder at commit c9bd4d8. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are r).

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

  • Network

    Links to these hosts (documentation or services it may open):

    • bioconductor.org

    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

Bioconductor Epigrahmm loads about 1.7k tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 512 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 512 words (~1,729 tokens).

“Detect differential enrichment regions (peaks) across multiple experimental conditions and classify peaks into combinatorial patterns of enrichment.”

— opening of SKILL.md by bioMate-AI, Custom licence
name
bioconductor-epigrahmm
when_to_use
Use when: Consensus and Differential Peak Calling With epigraHMM; ChIP-seq peak analysis (epigraHMM); ATAC-seq chromatin accessibility (epigraHMM). Not for…
user-invocable
false

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/epigenomics/epigrahmm of bioMate-AI/biomate-bioconductor-kb.

Open the folder on GitHubat commit c9bd4d8

Compare with similar skills

Bioconductor Epigrahmm 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.

Bioconductor Epigrahmm compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bioconductor Epigrahmm this skillbioMate-AI/biomate-bioconductor-kb804—~1.7kAutomated safety check: PassCustom licence
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Clinvar Databasegoogle-deepmind/science-skills3.2k2 repos~3.9kAutomated safety check: NotesApache-2.0
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT
Dbsnp Databasegoogle-deepmind/science-skills3.2k2 repos~3.4kAutomated safety check: NotesApache-2.0

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Questions about Bioconductor Epigrahmm

What does Bioconductor Epigrahmm do?

epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models. Bioconductor Epigrahmm is an agent skill from bioMate-AI/biomate-bioconductor-kb. epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models.

When should I use Bioconductor Epigrahmm?

Bioconductor Epigrahmm fits situations like: tasks that involve Bioinformatics.

How do I install Bioconductor Epigrahmm in Claude Code?

Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-epigrahmm -a claude-code`. Or copy the skill folder (skills/epigenomics/epigrahmm in bioMate-AI/biomate-bioconductor-kb) into .claude/skills/bioconductor-epigrahmm in your project. Claude Code loads it when a task matches its description.

How do I install Bioconductor Epigrahmm in Codex?

Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-epigrahmm -a codex`. Or copy the skill folder (skills/epigenomics/epigrahmm in bioMate-AI/biomate-bioconductor-kb) into .agents/skills/bioconductor-epigrahmm in your project. Codex loads it when a task matches its description.

Can I use Bioconductor Epigrahmm 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 bioMate-AI/biomate-bioconductor-kb --skill bioconductor-epigrahmm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bioconductor-epigrahmm, .gemini/skills/bioconductor-epigrahmm, .github/skills/bioconductor-epigrahmm and .opencode/skills/bioconductor-epigrahmm in your project.

What does Bioconductor Epigrahmm need to run?

SKILL.md names no scripts, command-line tools or credentials: Bioconductor Epigrahmm is instructions for the agent only.

Does Bioconductor Epigrahmm access the network?

SKILL.md names 1 domain. As links in the text: bioconductor.org. This is read from the text; nothing was executed.

Is Bioconductor Epigrahmm 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 Bioconductor Epigrahmm use?

Bioconductor Epigrahmm has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Bioconductor Epigrahmm use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Bioconductor Epigrahmm?

Skills that share tags, products or a category with Bioconductor Epigrahmm: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Clinvar Database (google-deepmind/science-skills, 3.2k stars) and Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bioconductor Epigrahmm?

bioMate-AI (a GitHub organization) maintains it in bioMate-AI/biomate-bioconductor-kb, which has 804 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on June 20, 2026.

Source: bioMate-AI/biomate-bioconductor-kb on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.