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Agent skill

Bio Chipseq Motif Analysis

by FreedomIntelligence in FreedomIntelligence/OpenClaw-Medical-Skills

De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP.

No licenceAuto-check passedResearch & Science

Install Bio Chipseq Motif Analysis

skills CLI
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-chipseq-motif-analysis -a claude-code

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

GitHub CLI
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-chipseq-motif-analysis --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/FreedomIntelligence/OpenClaw-Medical-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bio-chipseq-motif-analysis .claude/skills/bio-chipseq-motif-analysis && 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
bio-chipseq-motif-analysis
GitHub stars
3.1k
Token cost
~2.6k tokens
SKILL.md length
561 words
Files
3
Skills in repo
279
Repo updated
First seen
Licence
None found

At a glance

De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP.

  • Works in 5 steps: MEME - De novo discovery (central… → DREME - Short motif discovery → CentriMo - Central enrichment analysis → …
  • Finding enriched DNA motifs in peak sequences
  • SKILL.md covers Version Compatibility, Tool Comparison, HOMER and MEME Suite, plus 4 more sections
  • Runs Shell scripts from its folder; calls conda, wget and pip; reaches jaspar.genereg.net and hocomoco11.autosome.org

What it does

Bio Chipseq Motif Analysis is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP. Identify transcription factor binding motifs in ChIP-seq, ATAC-seq, or other genomic peak data. Use when finding enriched DNA motifs in peak sequences.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `examples/motif_analysis.sh` and `usage-guide.md`).

It sits in Research & Science, covering Bioinformatics. It works with Python. The repository describes itself as: The largest open-source medical AI skills library for OpenClaw🦞.

When your agent uses it

  • Finding enriched DNA motifs in peak sequences
  • Tasks that involve Bioinformatics

Example prompts

  • “/bio-chipseq-motif-analysis”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

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

  1. MEME - De novo discovery (central enrichment)
  2. DREME - Short motif discovery
  3. CentriMo - Central enrichment analysis
  4. TOMTOM - Compare to known motifs
  5. FIMO - Find motif instances

What it can do on your machine

Read from SKILL.md and the folder at commit b1f9b6e. 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 (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • conda
    • wget
    • pip

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • jaspar.genereg.net
    • hocomoco11.autosome.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

Bio Chipseq Motif Analysis loads about 2.6k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 561 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 561 words (~2,614 tokens).

“Reference examples tested with: BioPython 1.83+, bedtools 2.31+, matplotlib 3.8+, pandas 2.2+”

— opening of SKILL.md by FreedomIntelligence
name
bio-chipseq-motif-analysis
tool_type
cli
primary_tool
HOMER

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/bio-chipseq-motif-analysis of FreedomIntelligence/OpenClaw-Medical-Skills.

  • SKILL.md
  • examples/motif_analysis.sh
  • usage-guide.md

Open the folder on GitHubat commit b1f9b6e

Compare with similar skills

Bio Chipseq Motif Analysis 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.

Bio Chipseq Motif Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bio Chipseq Motif Analysis this skillFreedomIntelligence/OpenClaw-Medical-Skills3.1k—~2.6kAutomated safety check: PassNone
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
Singlecell Qcxuzhougeng/wisp-science1k—~1.6kAutomated safety check: PassAGPL-3.0
Trackplotygidtu/trackplot109—~1.9kAutomated safety check: PassBSD-3-Clause
UniProt Database Accessdavila7/claude-code-templates32k14 repos~1.7kAutomated safety check: PassMIT

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Works with

Categories

Questions about Bio Chipseq Motif Analysis

What does Bio Chipseq Motif Analysis do?

De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP. Bio Chipseq Motif Analysis is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP.

When should I use Bio Chipseq Motif Analysis?

Bio Chipseq Motif Analysis fits situations like: finding enriched DNA motifs in peak sequences; tasks that involve Bioinformatics.

How do I install Bio Chipseq Motif Analysis in Claude Code?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-chipseq-motif-analysis -a claude-code`. Or copy the skill folder (skills/bio-chipseq-motif-analysis in FreedomIntelligence/OpenClaw-Medical-Skills) into .claude/skills/bio-chipseq-motif-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Bio Chipseq Motif Analysis in Codex?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-chipseq-motif-analysis -a codex`. Or copy the skill folder (skills/bio-chipseq-motif-analysis in FreedomIntelligence/OpenClaw-Medical-Skills) into .agents/skills/bio-chipseq-motif-analysis in your project. Codex loads it when a task matches its description.

Can I use Bio Chipseq Motif Analysis 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 FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-chipseq-motif-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-chipseq-motif-analysis, .gemini/skills/bio-chipseq-motif-analysis, .github/skills/bio-chipseq-motif-analysis and .opencode/skills/bio-chipseq-motif-analysis in your project.

What does Bio Chipseq Motif Analysis need to run?

Going by SKILL.md and its folder, Bio Chipseq Motif Analysis needs a shell for the scripts in its folder and the command-line tools its instructions call (conda, wget and pip). Our summary lists: Python 3; A Bash shell.

Does Bio Chipseq Motif Analysis access the network?

SKILL.md names 2 domains. In commands or code: jaspar.genereg.net and hocomoco11.autosome.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Bio Chipseq Motif Analysis 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 Bio Chipseq Motif Analysis use?

No licence was found for Bio Chipseq Motif Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Bio Chipseq Motif Analysis use?

About 2.6k tokens (SKILL.md is roughly 10k 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 Bio Chipseq Motif Analysis?

Skills that share tags, products or a category with Bio Chipseq Motif Analysis: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Singlecell Qc (xuzhougeng/wisp-science, 1k stars) and Trackplot (ygidtu/trackplot, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bio Chipseq Motif Analysis?

FreedomIntelligence (a GitHub organization) maintains it in FreedomIntelligence/OpenClaw-Medical-Skills, which has 3,052 GitHub stars. The repository holds 279 skills in this directory. The repository was last updated on July 21, 2026.

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