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Agent skill

Bio Proteomics Quantification

by FreedomIntelligence in FreedomIntelligence/OpenClaw-Medical-Skills

Protein quantification from mass spectrometry data including label-free (LFQ, intensity-based), isobaric labeling (TMT, iTRAQ), and metabolic labeling (SILAC) approaches.

No licenceAuto-check passedResearch & Science

Install Bio Proteomics Quantification

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

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

GitHub CLI
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-proteomics-quantification --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-quantification .claude/skills/bio-proteomics-quantification && 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-quantification
GitHub stars
3.1k
Used in
1 other repo
Token cost
~1.2k tokens
SKILL.md length
183 words
Files
3
Skills in repo
170
Repo updated
First seen
Licence
None found

At a glance

Protein quantification from mass spectrometry data including label-free (LFQ, intensity-based), isobaric labeling (TMT, iTRAQ), and metabolic labeling (SILAC) approaches.

  • Extracting protein abundances from MS data for differential analysis
  • SKILL.md covers Version Compatibility, Label-Free Quantification (LFQ), TMT/iTRAQ Quantification and SILAC Quantification, plus 2 more sections
  • Runs Python scripts from its folder; calls pip
  • Tasks that involve Bioinformatics

What it does

Bio Proteomics Quantification is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Protein quantification from mass spectrometry data including label-free (LFQ, intensity-based), isobaric labeling (TMT, iTRAQ), and metabolic labeling (SILAC) approaches. Use when extracting protein abundances from MS data for differential analysis.

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 `examples/lfq_normalization.py` 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

  • Extracting protein abundances from MS data for differential analysis
  • Tasks that involve Bioinformatics

Example prompts

  • “/bio-proteomics-quantification”

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 (Python), 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 Quantification loads about 1.2k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
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 183 words (~1,171 tokens).

“Reference examples tested with: MSnbase 2.28+, numpy 1.26+, pandas 2.2+”

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

Read the full SKILL.md on GitHub

Files

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

  • SKILL.md
  • examples/lfq_normalization.py
  • usage-guide.md

Open the folder on GitHubat commit b1f9b6e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in FreedomIntelligence/OpenClaw-Medical-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Bio Proteomics Quantification 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 Quantification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bio Proteomics Quantification this skillFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~1.2kAutomated safety check: PassNone
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
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-templates32k15 repos~1.7kAutomated safety check: PassMIT

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Works with

Categories

Questions about Bio Proteomics Quantification

What does Bio Proteomics Quantification do?

Protein quantification from mass spectrometry data including label-free (LFQ, intensity-based), isobaric labeling (TMT, iTRAQ), and metabolic labeling (SILAC) approaches. Bio Proteomics Quantification is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Protein quantification from mass spectrometry data including label-free (LFQ, intensity-based), isobaric labeling (TMT, iTRAQ), and metabolic labeling (SILAC) approaches.

When should I use Bio Proteomics Quantification?

Bio Proteomics Quantification fits situations like: extracting protein abundances from MS data for differential analysis; tasks that involve Bioinformatics.

How do I install Bio Proteomics Quantification in Claude Code?

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

How do I install Bio Proteomics Quantification in Codex?

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

Can I use Bio Proteomics Quantification 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-quantification -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-quantification, .gemini/skills/bio-proteomics-quantification, .github/skills/bio-proteomics-quantification and .opencode/skills/bio-proteomics-quantification in your project.

What does Bio Proteomics Quantification need to run?

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

Does Bio Proteomics Quantification 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 Quantification 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 Quantification use?

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

How many tokens does Bio Proteomics Quantification use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Quantification?

Skills that share tags, products or a category with Bio Proteomics Quantification: 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k 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 Proteomics Quantification?

FreedomIntelligence (a GitHub organization) maintains it in FreedomIntelligence/OpenClaw-Medical-Skills, which has 3,052 GitHub stars. The repository holds 170 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.