Biomedical Analysis Dispatch
xjtulyc/MedgeClaw
Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.
Access 1000+ scientific tools from Harvard's ToolUniverse — bioinformatics, drug discovery, genomics, clinical research, and more
$ npx skills add lamm-mit/scienceclaw --skill tooluniverse -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw tooluniverse --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tooluniverse .claude/skills/tooluniverse && rm -rf skills-srcUse ~/.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/
Install the "tooluniverse" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/tooluniverse into .claude/skills/tooluniverse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/tooluniverseType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lamm-mit/scienceclaw --skill tooluniverse -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw tooluniverse --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tooluniverse .agents/skills/tooluniverse && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tooluniverse" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/tooluniverse into .agents/skills/tooluniverse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lamm-mit/scienceclaw --skill tooluniverse -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw tooluniverse --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tooluniverse .cursor/skills/tooluniverse && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tooluniverse" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/tooluniverse into .cursor/skills/tooluniverse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/tooluniverse--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lamm-mit/scienceclaw --skill tooluniverse -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw tooluniverse --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tooluniverse .gemini/skills/tooluniverse && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tooluniverse" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/tooluniverse into .gemini/skills/tooluniverse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lamm-mit/scienceclaw tooluniverseInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lamm-mit/scienceclaw --skill tooluniverse -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tooluniverse .github/skills/tooluniverse && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tooluniverse" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/tooluniverse into .github/skills/tooluniverse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lamm-mit/scienceclaw --skill tooluniverse -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lamm-mit/scienceclaw tooluniverse --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tooluniverse .opencode/skills/tooluniverse && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tooluniverse" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/tooluniverse into .opencode/skills/tooluniverse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
tooluniverseAccess 1000+ scientific tools from Harvard's ToolUniverse — bioinformatics, drug discovery, genomics, clinical research, and more
Tooluniverse is an agent skill from lamm-mit/scienceclaw. Access 1000+ scientific tools from Harvard's ToolUniverse — bioinformatics, drug discovery, genomics, clinical research, and more
Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/tooluniverse_run.py`, `scripts/tooluniverse_search.py` and `setup_tu_skills.py`).
It sits in Research & Science, covering Bioinformatics, Drug discovery and cheminformatics and Clinical and healthcare research. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit ab9aba1. It shows what the files ask for, not the result of running them.
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.
Ships 4 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tooluniverse loads about 950 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 210 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 210 words, ~950 tokens.
.claude/skills/tooluniverse/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Gateway to 1000+ machine learning models, databases, APIs, and scientific packages via Harvard's ToolUniverse ecosystem. Covers drug discovery, genomics, proteomics, clinical research, metabolomics, multi-omics, and more.
ToolUniverse standardizes access to scientific tools through a unified tu.run() interface. This skill wraps that interface so agents can call any ToolUniverse tool and receive JSON output compatible with the scienceclaw artifact system.
python3 {baseDir}/scripts/tooluniverse_run.py --tool UniProt_get_entry_by_accession \
--args '{"accession": "P05067"}'python3 {baseDir}/scripts/tooluniverse_list.py
python3 {baseDir}/scripts/tooluniverse_list.py --search "compound"
python3 {baseDir}/scripts/tooluniverse_list.py --search "protein" --format json
python3 {baseDir}/scripts/tooluniverse_list.py --info PubChem_get_compound_properties_by_CID| Parameter | Description | Default |
|---|---|---|
--tool | ToolUniverse tool name (exact, case-sensitive) | Required |
--args | Tool arguments as a JSON string | {} |
--format | Output format: json, summary | json |
--no-cache | Disable result caching | false |
# Retrieve protein entry
python3 {baseDir}/scripts/tooluniverse_run.py \
--tool UniProt_get_entry_by_accession --args '{"accession": "P05067"}'
# Get compound properties
python3 {baseDir}/scripts/tooluniverse_run.py \
--tool PubChem_get_compound_properties_by_CID --args '{"cid": 1983}'
# Search PubMed
python3 {baseDir}/scripts/tooluniverse_run.py \
--tool PubMed_search_articles --args '{"query": "Alzheimer amyloid", "max_results": 10}'
# List tools related to GWAS
python3 {baseDir}/scripts/tooluniverse_list.py --search "gwas"pip install tooluniversetooluniverse_list.py to discover--no-cache for fresh data© lamm-mit, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (scripts) in skills/tooluniverse of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Tooluniverse 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tooluniverse this skilllamm-mit/scienceclaw | 244 | — | ~950 | Automated safety check: Pass | Apache-2.0 | |
| Biomedical Analysis Dispatchxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Hcls Build Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~885 | Automated safety check: Pass | MIT-0 | |
| Hcls Get Startedaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~607 | Automated safety check: Pass | MIT-0 | |
| Genomics Variant Interpretationaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~1.5k | Automated safety check: Pass | MIT-0 | |
| Biomnidavila7/claude-code-templates | 32k | 8 repos | ~2.4k | Automated safety check: Notes | MIT |
xjtulyc/MedgeClaw
Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when a developer wants to build a new healthcare or life sciences agent, structure tools and system prompts for an HCLS workflow, or create a Strands agent with…
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when a developer asks how to get started building healthcare or life sciences agents, wants to understand the HCLS Agents Toolkit, or asks what's available in this repository.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when interpreting genomic variants from VCF files, performing clinical variant classification using ClinVar/VEP annotations, analyzing allele frequencies against population…
davila7/claude-code-templates
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis.
AgentTeam-TaichuAI/ScienceClaw
Access 1000+ scientific tools through ToolUniverse for drug discovery, protein analysis, genomics, literature search, clinical data, ADMET prediction, molecular docking, and more.
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
lamm-mit/scienceclaw
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
lamm-mit/scienceclaw
Create professional infographics using Nano Banana Pro AI with smart iterative refinement.
lamm-mit/scienceclaw
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
Categories
Access 1000+ scientific tools from Harvard's ToolUniverse — bioinformatics, drug discovery, genomics, clinical research, and more. Tooluniverse is an agent skill from lamm-mit/scienceclaw.
Tooluniverse fits situations like: tasks that involve Bioinformatics; tasks that involve Drug discovery and cheminformatics; tasks that involve Clinical and healthcare research.
Run `npx skills add lamm-mit/scienceclaw --skill tooluniverse -a claude-code`. Or copy the skill folder (skills/tooluniverse in lamm-mit/scienceclaw) into .claude/skills/tooluniverse in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill tooluniverse -a codex`. Or copy the skill folder (skills/tooluniverse in lamm-mit/scienceclaw) into .agents/skills/tooluniverse in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lamm-mit/scienceclaw --skill tooluniverse -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tooluniverse, .gemini/skills/tooluniverse, .github/skills/tooluniverse and .opencode/skills/tooluniverse in your project.
Going by SKILL.md and its folder, Tooluniverse needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
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.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Tooluniverse is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 950 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tooluniverse: Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars), Hcls Build Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Hcls Get Started (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars) and Genomics Variant Interpretation (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on August 21, 2026.
Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.