Agent skill

Bio Proteomics Differential Abundance

by FreedomIntelligence in FreedomIntelligence/OpenClaw-Medical-Skills

Statistical testing for differentially abundant proteins between conditions.

No licenceAuto-check passedResearch & Science

Install Bio Proteomics Differential Abundance

skills CLI
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-differential-abundance -a claude-code

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

GitHub CLI
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-proteomics-differential-abundance --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-proteomics-differential-abundance .claude/skills/bio-proteomics-differential-abundance && 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-proteomics-differential-abundance
GitHub stars
3.1k
Token cost
~1.2k tokens
SKILL.md length
201 words
Files
3
Skills in repo
279
Repo updated
First seen
Licence
None found

At a glance

Statistical testing for differentially abundant proteins between conditions.

  • Identifying proteins with significant abundance changes between experimental groups
  • SKILL.md covers Version Compatibility, MSstats Group Comparison (R…, limma for Proteomics (R stats… and QFeatures/proDA (Modern…, plus 3 more sections
  • Runs R scripts from its folder; calls pip
  • Tasks that involve Bioinformatics

What it does

Bio Proteomics Differential Abundance is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Statistical testing for differentially abundant proteins between conditions. Covers limma and MSstats workflows with multiple testing correction. Use when identifying proteins with significant abundance changes between experimental groups.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `usage-guide.md`).

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

When your agent uses it

  • Identifying proteins with significant abundance changes between experimental groups
  • Tasks that involve Bioinformatics
  • Tasks that involve Statistics

Example prompts

  • “/bio-proteomics-differential-abundance”

Requirements

  • Python 3

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 (R), which the agent can run.

    Shell commands in SKILL.md call:

    • pip

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

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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 Proteomics Differential Abundance loads about 1.2k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 201 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 201 words (~1,220 tokens).

“Reference examples tested with: R stats (base), ggplot2 3.5+, limma 3.58+, numpy 1.26+, pandas 2.2+, scipy 1.12+, statsmodels 0.14+”

— opening of SKILL.md by FreedomIntelligence
name
bio-proteomics-differential-abundance
tool_type
mixed
primary_tool
MSstats

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/bio-proteomics-differential-abundance of FreedomIntelligence/OpenClaw-Medical-Skills.

  • SKILL.md
  • examples/limma_analysis.R
  • usage-guide.md

Open the folder on GitHubat commit b1f9b6e

Compare with similar skills

Bio Proteomics Differential Abundance 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 Proteomics Differential Abundance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bio Proteomics Differential Abundance this skillFreedomIntelligence/OpenClaw-Medical-Skills3.1k—~1.2kAutomated safety check: PassNone
Tooluniverse Epigenomicswu-yc/LabClaw1.1k2 repos~14kAutomated safety check: PassNone
Bio Temporal Genomics Temporal GrnGPTomics/bioSkills1.2k1 repos~5kAutomated safety check: PassMIT
Bio Workflows Timecourse PipelineGPTomics/bioSkills1.2k1 repos~6kAutomated safety check: PassMIT
Bio Experimental Design Multiple TestingGPTomics/bioSkills1.2k1 repos~3.5kAutomated safety check: PassMIT
PyDESeq2 Differential Expressiondavila7/claude-code-templates33k11 repos~4kAutomated safety check: PassMIT

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Questions about Bio Proteomics Differential Abundance

What does Bio Proteomics Differential Abundance do?

Statistical testing for differentially abundant proteins between conditions. Bio Proteomics Differential Abundance is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Statistical testing for differentially abundant proteins between conditions.

When should I use Bio Proteomics Differential Abundance?

Bio Proteomics Differential Abundance fits situations like: identifying proteins with significant abundance changes between experimental groups; tasks that involve Bioinformatics; tasks that involve Statistics.

How do I install Bio Proteomics Differential Abundance in Claude Code?

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

How do I install Bio Proteomics Differential Abundance in Codex?

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

Can I use Bio Proteomics Differential Abundance 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-proteomics-differential-abundance -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-proteomics-differential-abundance, .gemini/skills/bio-proteomics-differential-abundance, .github/skills/bio-proteomics-differential-abundance and .opencode/skills/bio-proteomics-differential-abundance in your project.

What does Bio Proteomics Differential Abundance need to run?

Going by SKILL.md and its folder, Bio Proteomics Differential Abundance needs R for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Bio Proteomics Differential Abundance access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Bio Proteomics Differential Abundance 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 Proteomics Differential Abundance use?

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

How many tokens does Bio Proteomics Differential Abundance use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Bio Proteomics Differential Abundance?

Skills that share tags, products or a category with Bio Proteomics Differential Abundance: Tooluniverse Epigenomics (wu-yc/LabClaw, 1.1k stars), Bio Temporal Genomics Temporal Grn (GPTomics/bioSkills, 1.2k stars), Bio Workflows Timecourse Pipeline (GPTomics/bioSkills, 1.2k stars) and Bio Experimental Design Multiple Testing (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bio Proteomics Differential Abundance?

FreedomIntelligence (a GitHub organization) maintains it in FreedomIntelligence/OpenClaw-Medical-Skills, which has 3,053 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.