Agent skill

Bio Microbiome Taxonomy Assignment

by FreedomIntelligence in FreedomIntelligence/OpenClaw-Medical-Skills

Taxonomic classification of ASVs using reference databases like SILVA, GTDB, or UNITE.

No licenceAuto-check passed

Install Bio Microbiome Taxonomy Assignment

skills CLI
$ npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-microbiome-taxonomy-assignment -a claude-code

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

GitHub CLI
$ gh skill install FreedomIntelligence/OpenClaw-Medical-Skills bio-microbiome-taxonomy-assignment --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-microbiome-taxonomy-assignment .claude/skills/bio-microbiome-taxonomy-assignment && 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-microbiome-taxonomy-assignment
GitHub stars
3.1k
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
232 words
Files
3
Skills in repo
279
Repo updated
First seen
Licence
None found

At a glance

Taxonomic classification of ASVs using reference databases like SILVA, GTDB, or UNITE.

  • Assigning taxonomy to ASVs after DADA2 amplicon processing
  • SKILL.md covers Version Compatibility, DADA2 Naive Bayes Classifier, GTDB for 16S and UNITE for ITS (Fungi), plus 8 more sections
  • Runs R scripts from its folder; reaches zenodo.org and www2.decipher.codes

What it does

Bio Microbiome Taxonomy Assignment is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Taxonomic classification of ASVs using reference databases like SILVA, GTDB, or UNITE. Covers naive Bayes classifiers (DADA2, IDTAXA) and exact matching approaches. Use when assigning taxonomy to ASVs after DADA2 amplicon processing.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `usage-guide.md`).

The repository describes itself as: The largest open-source medical AI skills library for OpenClaw🦞.

When your agent uses it

  • Assigning taxonomy to ASVs after DADA2 amplicon processing

Example prompts

  • “/bio-microbiome-taxonomy-assignment”

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.

    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:

    • zenodo.org
    • www2.decipher.codes

    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 Microbiome Taxonomy Assignment loads about 1.3k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 232 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 232 words (~1,333 tokens).

“Reference examples tested with: DADA2 1.30+, QIIME2 2024.2+, phyloseq 1.46+, scanpy 1.10+, scikit-learn 1.4+”

— opening of SKILL.md by FreedomIntelligence
name
bio-microbiome-taxonomy-assignment
tool_type
mixed
primary_tool
dada2

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/bio-microbiome-taxonomy-assignment of FreedomIntelligence/OpenClaw-Medical-Skills.

  • SKILL.md
  • examples/assign_silva.R
  • 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 9, 2026.

Compare with similar skills

Bio Microbiome Taxonomy Assignment 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 Microbiome Taxonomy Assignment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bio Microbiome Taxonomy Assignment this skillFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~1.3kAutomated safety check: PassNone
Bio Microbiome Taxonomy AssignmentGPTomics/bioSkills1.2k1 repos~6.1kAutomated safety check: PassMIT
Cv Classificationaiming-lab/AutoResearchClaw15k—~304Automated safety check: PassMIT
GitHub Issue Bulk Assignercodewhale-hq/Codewhale41k—~953Automated safety check: PassMIT
Testing API For Mass Assignment Vulnerabilitymukul975/Anthropic-Cybersecurity-Skills34k—~4kAutomated safety check: PassApache-2.0
Text Classificationbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~4.8kAutomated safety check: PassCustom licence

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Questions about Bio Microbiome Taxonomy Assignment

What does Bio Microbiome Taxonomy Assignment do?

Taxonomic classification of ASVs using reference databases like SILVA, GTDB, or UNITE. Bio Microbiome Taxonomy Assignment is an agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. Taxonomic classification of ASVs using reference databases like SILVA, GTDB, or UNITE.

When should I use Bio Microbiome Taxonomy Assignment?

Bio Microbiome Taxonomy Assignment fits situations like: assigning taxonomy to ASVs after DADA2 amplicon processing.

How do I install Bio Microbiome Taxonomy Assignment in Claude Code?

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

How do I install Bio Microbiome Taxonomy Assignment in Codex?

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

Can I use Bio Microbiome Taxonomy Assignment 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-microbiome-taxonomy-assignment -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-microbiome-taxonomy-assignment, .gemini/skills/bio-microbiome-taxonomy-assignment, .github/skills/bio-microbiome-taxonomy-assignment and .opencode/skills/bio-microbiome-taxonomy-assignment in your project.

What does Bio Microbiome Taxonomy Assignment need to run?

Going by SKILL.md and its folder, Bio Microbiome Taxonomy Assignment needs R for the scripts in its folder.

Does Bio Microbiome Taxonomy Assignment access the network?

SKILL.md names 2 domains. In commands or code: zenodo.org and www2.decipher.codes; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Bio Microbiome Taxonomy Assignment 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 Microbiome Taxonomy Assignment use?

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

How many tokens does Bio Microbiome Taxonomy Assignment use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Microbiome Taxonomy Assignment?

Skills that share tags, products or a category with Bio Microbiome Taxonomy Assignment: Bio Microbiome Taxonomy Assignment (GPTomics/bioSkills, 1.2k stars), Cv Classification (aiming-lab/AutoResearchClaw, 15k stars), GitHub Issue Bulk Assigner (codewhale-hq/Codewhale, 41k stars) and Testing API For Mass Assignment Vulnerability (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bio Microbiome Taxonomy Assignment?

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.