Tooluniverse
ynulihao/AgentSkillOS
A skill your agent uses when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery.
Access 1000+ scientific tools through ToolUniverse for drug discovery, protein analysis, genomics, literature search, clinical data, ADMET prediction, molecular docking, and more.
$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill tooluniverse -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgentTeam-TaichuAI/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/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ScienceClaw/backend/builtin_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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_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 AgentTeam-TaichuAI/ScienceClaw --skill tooluniverse -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw tooluniverse --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ScienceClaw/backend/builtin_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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_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 AgentTeam-TaichuAI/ScienceClaw --skill tooluniverse -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw tooluniverse --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ScienceClaw/backend/builtin_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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_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/AgentTeam-TaichuAI/ScienceClaw.git --path ScienceClaw/backend/builtin_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 AgentTeam-TaichuAI/ScienceClaw --skill tooluniverse -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw tooluniverse --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ScienceClaw/backend/builtin_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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_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 AgentTeam-TaichuAI/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 AgentTeam-TaichuAI/ScienceClaw --skill tooluniverse -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/ScienceClaw/backend/builtin_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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_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 AgentTeam-TaichuAI/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 AgentTeam-TaichuAI/ScienceClaw tooluniverse --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ScienceClaw/backend/builtin_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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_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 through ToolUniverse for drug discovery, protein analysis, genomics, literature search, clinical data, ADMET prediction, molecular docking, and more.
Tooluniverse is an agent skill from 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. Use when the user needs biomedical or scientific research capabilities.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Drug discovery and cheminformatics and Bioinformatics. It works with PubMed and UniProt. The repository describes itself as: ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers…
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3817e56. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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 1.2k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 403 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); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 403 words (~1,190 tokens).
“You have access to ToolUniverse, a unified ecosystem of 1000+ scientific tools that covers the full spectrum of biomedical research. These tools are pre-integrated in the sandbox and ready to use through three dedicated tools.”
Just SKILL.md in ScienceClaw/backend/builtin_skills/tooluniverse of AgentTeam-TaichuAI/ScienceClaw.
Open the folder on GitHubat commit 3817e56
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 skillAgentTeam-TaichuAI/ScienceClaw | 671 | — | ~1.2k | Automated safety check: Pass | None | |
| Tooluniverseynulihao/AgentSkillOS | 618 | 2 repos | ~2.5k | Automated safety check: Pass | None | |
| Biopythonlamm-mit/scienceclaw | 246 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Ena Databasejaechang-hits/SciAgent-Skills | 374 | 1 repos | ~5.3k | Automated safety check: Pass | Custom licence | |
| Biomedical Analysis Dispatchxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Biomarker Database Analysisaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~1.1k | Automated safety check: Pass | MIT-0 |
ynulihao/AgentSkillOS
A skill your agent uses when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery.
lamm-mit/scienceclaw
Computational molecular biology library (sequence I/O, alignment, phylogenetics).
jaechang-hits/SciAgent-Skills
ENA REST API for sequences, reads, assemblies, and annotations.
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 researcher needs to query biomedical databases for biomarker discovery, build target profiles from UniProt/Open Targets/STRING, rank biomarker candidates by evidence…
GuyTeichman/RNAlysis
Workflow for fixing or changing RNAlysis code that talks to an EXTERNAL WEB SERVICE — UniProt, Ensembl, PANTHER, PhylomeDB, OrthoInspector, KEGG, or GO.
AgentTeam-TaichuAI/ScienceClaw
Read and search GitHub repository documentation via gitmcp.io MCP service.
AgentTeam-TaichuAI/ScienceClaw
Create new skills, modify and improve existing skills, and measure skill performance.
AgentTeam-TaichuAI/ScienceClaw
Use this skill any time a .pptx file is involved — as input, output, or both.
AgentTeam-TaichuAI/ScienceClaw
多源深度调研与专业报告生成。适用场景广泛——只要用户的问题涉及需要深度分析的专业话题,就应使用此技能。包括但不限于:(1) 用户明确要求调研/research/综述/报告/发现;(2) 用户提出一个技术或科学话题,话题复杂度需要多源深度分析;(3) 用户要求对比多种技术方案的优劣;(4) 涉及生物医药、蛋白质、基因、药物靶点等需要专业数据库支撑的问题。核心能力:根据问题性质自动组合 arXiv…
AgentTeam-TaichuAI/ScienceClaw
自动配置飞书机器人应用。当用户要求配置飞书、创建飞书机器人、接入 Lark/飞书、设置飞书 appid/appsecret、或询问如何配置飞书 IM 时触发此 skill。该 skill 通过 sandbox 内置浏览器自动完成飞书开放平台上的应用创建、权限配置、事件订阅和发布,用户仅需扫码登录。
AgentTeam-TaichuAI/ScienceClaw
Create new tools or upgrade existing tools for the agent. An agent skill from AgentTeam-TaichuAI/ScienceClaw.
Categories
Access 1000+ scientific tools through ToolUniverse for drug discovery, protein analysis, genomics, literature search, clinical data, ADMET prediction, molecular docking, and more. Tooluniverse is an agent skill from 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.
Tooluniverse fits situations like: the user needs biomedical; scientific research capabilities.
Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill tooluniverse -a claude-code`. Or copy the skill folder (ScienceClaw/backend/builtin_skills/tooluniverse in AgentTeam-TaichuAI/ScienceClaw) into .claude/skills/tooluniverse in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill tooluniverse -a codex`. Or copy the skill folder (ScienceClaw/backend/builtin_skills/tooluniverse in AgentTeam-TaichuAI/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 AgentTeam-TaichuAI/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.
SKILL.md names no scripts, command-line tools or credentials: Tooluniverse is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. Review the folder before installing.
No licence was found for Tooluniverse or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.2k tokens (SKILL.md is roughly 4.8k 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: Tooluniverse (ynulihao/AgentSkillOS, 618 stars), Biopython (lamm-mit/scienceclaw, 246 stars), Ena Database (jaechang-hits/SciAgent-Skills, 374 stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AgentTeam-TaichuAI (a GitHub user) maintains it in AgentTeam-TaichuAI/ScienceClaw, which has 671 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on May 9, 2026.
Source: AgentTeam-TaichuAI/ScienceClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.