mims-harvard/tooluniverse/tooluniverse-install-skills

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Source check pending

Checking that the SKILL.md file is still in the repository.

Detect and auto-install missing ToolUniverse research skills. Checks common Claude Code/Cursor/Codex skill directories for the canary file, and installs any missing skills if none found. Use when the plugin's research skills aren't loading, when migrating between clients, or when verifying a skill installation.

Install

npx vskill@latest install mims-harvard/tooluniverse/tooluniverse-install-skills

SKILL.md

ToolUniverse Install Skills

Checks whether the ToolUniverse specialized skills are installed and installs them automatically if not.

Detection

Use the Shell tool to check for the canary file across all common client locations:

bash
ls .cursor/skills/tooluniverse-drug-research/SKILL.md 2>/dev/null \
|| ls .agents/skills/tooluniverse-drug-research/SKILL.md 2>/dev/null \
|| ls .windsurf/skills/tooluniverse-drug-research/SKILL.md 2>/dev/null \
|| ls .gemini/skills/tooluniverse-drug-research/SKILL.md 2>/dev/null \
|| ls .claude/skills/tooluniverse-drug-research/SKILL.md 2>/dev/null \
|| ls .opencode/skills/tooluniverse-drug-research/SKILL.md 2>/dev/null \
|| ls .trae/skills/tooluniverse-drug-research/SKILL.md 2>/dev/null \
|| ls .skills/tooluniverse-drug-research/SKILL.md 2>/dev/null \
|| echo "NOT_INSTALLED"
  • Output is a file path → skills already installed, stop here.
  • Output is `NOT_INSTALLED` → proceed to installation.

Installation

bash
# 1. Download skills from GitHub (shallow, sparse — only skills/ folder)
git clone --depth 1 --filter=blob:none --sparse \
https://github.com/mims-harvard/ToolUniverse.git /tmp/tu-skills
cd /tmp/tu-skills && git sparse-checkout set skills
# 2. Copy to the correct directory for the detected client:
mkdir -p .cursor/skills && cp -r /tmp/tu-skills/skills/* .cursor/skills/ # Cursor
# mkdir -p .agents/skills && cp -r /tmp/tu-skills/skills/* .agents/skills/ # Codex/OpenAI
# mkdir -p .windsurf/skills && cp -r /tmp/tu-skills/skills/* .windsurf/skills/ # Windsurf
# mkdir -p .gemini/skills && cp -r /tmp/tu-skills/skills/* .gemini/skills/ # Gemini CLI
# mkdir -p .claude/skills && cp -r /tmp/tu-skills/skills/* .claude/skills/ # Claude Code
# mkdir -p .opencode/skills && cp -r /tmp/tu-skills/skills/* .opencode/skills/ # OpenCode
# mkdir -p .trae/skills && cp -r /tmp/tu-skills/skills/* .trae/skills/ # Trae
# mkdir -p .skills && cp -r /tmp/tu-skills/skills/* .skills/ # Cline/VS Code
# 3. Clean up
rm -rf /tmp/tu-skills

If the client cannot be detected automatically, ask the user which one they use before running step 2.

Client Detection

Detect the client from the presence of config files:

Config file presentClient
.cursor/Cursor
.agents/Codex / OpenAI
.windsurf/Windsurf
.gemini/Gemini CLI
.claude/Claude Code
.opencode/OpenCode
.trae/Trae
None of the aboveAsk the user

After Installation

Confirm success:

bash
ls .cursor/skills/tooluniverse-drug-research/SKILL.md

Tell the user: "ToolUniverse skills installed successfully. You now have access to 50+ specialized research workflows."

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
1,754
Repository forks
267
7-day trend score
36

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 4 May 2026, 5 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
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