Agent skill

Patsnap Scientific Translational Evidence

by patsnap in patsnap/mcp

Patsnap Scientific & Translational Evidence MCP for AI agents.

Apache-2.0Auto-check passedAgent Workflows

Install Patsnap Scientific Translational Evidence

skills CLI
$ npx skills add patsnap/mcp --skill patsnap-scientific-translational-evidence -a claude-code

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

GitHub CLI
$ gh skill install patsnap/mcp patsnap-scientific-translational-evidence --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/patsnap/mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/life-sciences/patsnap-scientific-translational-evidence .claude/skills/patsnap-scientific-translational-evidence && 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
patsnap-scientific-translational-evidence
GitHub stars
113
Token cost
~728 tokens
SKILL.md length
229 words
Files
3
Skills in repo
32
Repo updated
First seen
Licence
Apache-2.0

At a glance

Patsnap Scientific & Translational Evidence MCP for AI agents.

  • Works in 4 steps: Normalize Entities First → Choose the Right Tool → Fetch Full Records → …
  • Tasks that involve MCP servers
  • SKILL.md covers Setup, Prerequisites, Instructions for AI Agents and Example Workflows, plus 1 more section
  • Reaches connect.patsnap.com

What it does

Patsnap Scientific Translational Evidence is an agent skill from patsnap/mcp. Patsnap Scientific & Translational Evidence MCP for AI agents. Retrieval platform focusing on scientific literature and translational outcomes, covering academic publication queries and translational medicine record tracking.

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `package.json`).

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: MCP server for 200M+ patents, scientific literature, chemistry and pharma records. Search prior art and R&D intelligence powered by PatSnap's proprietary databases via Claude… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/patsnap-scientific-translational-evidence”

Requirements

  • A credential in YOUR_API_KEY

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Normalize Entities First
  2. Choose the Right Tool
  3. Fetch Full Records
  4. Synthesize and Structure Output

What it can do on your machine

Read from SKILL.md and the folder at commit 7a4b429. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    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:

    • connect.patsnap.com

    Also links to:

    • open.patsnap.com
    • eureka.patsnap.com

    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

Patsnap Scientific Translational Evidence loads about 728 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 229 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
~728

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

The full file from patsnap/mcp at commit 7a4b429, republished under its Apache-2.0 licence (© patsnap). 229 words, ~728 tokens.

Download SKILL.mdSave it as .claude/skills/patsnap-scientific-translational-evidence/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
patsnap-scientific-translational-evidence
description
Patsnap Scientific & Translational Evidence MCP for AI agents. Retrieval platform focusing on scientific literature and translational outcomes, covering academic publication queries and translational medicine record tracking.
homepage
https://open.patsnap.com/marketplace/mcp-servers/scientific-translational-evidence
metadata.author
Patsnap
metadata.category
Life Science
metadata.version
1.0.0

Setup

Get your API Key at https://open.patsnap.com

Patsnap Scientific & Translational Evidence

This skill connects your AI agent to Patsnap's Scientific & Translational Evidence MCP server — providing professional-grade life sciences intelligence.

Retrieval platform focusing on scientific literature and translational outcomes, covering academic publication queries and translational medicine record tracking.

Prerequisites

This skill requires the Patsnap Scientific & Translational Evidence MCP server to be configured in your environment:

json
{
  "mcpServers": {
    "scientific_translational_evidence": {
      "url": "https://connect.patsnap.com/9c333c/logic-mcp?apikey=YOUR_API_KEY",
      "type": "streamableHttp"
    }
  }
}

Get your API key at open.patsnap.com. For the full list of available tools and input parameters, refer to the official MCP server documentation: https://open.patsnap.com/marketplace/mcp-servers/scientific-translational-evidence


Instructions for AI Agents

Step 1: Normalize Entities First

Before executing any search or fetch operation, normalize targets, drugs, diseases, companies, and clinical trial IDs to Patsnap internal IDs when possible. This improves retrieval accuracy.

Step 2: Choose the Right Tool

Select search tools for discovery and corresponding _fetch tools for full records. Use vector search tools for natural-language evidence queries.

Step 3: Fetch Full Records

Search tools return summary results with IDs. Follow up with the appropriate _fetch tool when the user needs complete details.

Step 4: Synthesize and Structure Output

Lead with key findings, cite sources, highlight data gaps, and use tables for comparisons.


Example Workflows

Translational Evidence Review
  1. Search translational_medicine_search by target and disease.
  2. Fetch full records with translational_medicine_fetch.
  3. Synthesize biomarker and mechanism-of-action insights.

Resources

© patsnap, 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

Files

SKILL.md and 2 other files in life-sciences/patsnap-scientific-translational-evidence of patsnap/mcp.

  • SKILL.md
  • README.md
  • package.json

Open the folder on GitHubat commit 7a4b429

Compare with similar skills

Patsnap Scientific Translational Evidence 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.

Patsnap Scientific Translational Evidence compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Patsnap Scientific Translational Evidence this skillpatsnap/mcp113—~728Automated safety check: PassApache-2.0
Read GitHubAgentTeam-TaichuAI/ScienceClaw6712 repos~638Automated safety check: PassNone
Setting Up Papergraphlotchuazzz-crypto/papergraph-mcp282—~3.3kAutomated safety check: PassMIT
Sciverseopendatalab/Sciverse-Agent-Tools120—~3kAutomated safety check: PassCustom licence
Add App Toolcyanheads/pubmed-mcp-server158—~3.2kAutomated safety check: PassApache-2.0
Add Promptcyanheads/pubmed-mcp-server158—~1.6kAutomated safety check: PassApache-2.0

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Questions about Patsnap Scientific Translational Evidence

What does Patsnap Scientific Translational Evidence do?

Patsnap Scientific & Translational Evidence MCP for AI agents. Patsnap Scientific Translational Evidence is an agent skill from patsnap/mcp. Patsnap Scientific & Translational Evidence MCP for AI agents.

When should I use Patsnap Scientific Translational Evidence?

Patsnap Scientific Translational Evidence fits situations like: tasks that involve MCP servers.

How do I install Patsnap Scientific Translational Evidence in Claude Code?

Run `npx skills add patsnap/mcp --skill patsnap-scientific-translational-evidence -a claude-code`. Or copy the skill folder (life-sciences/patsnap-scientific-translational-evidence in patsnap/mcp) into .claude/skills/patsnap-scientific-translational-evidence in your project. Claude Code loads it when a task matches its description.

How do I install Patsnap Scientific Translational Evidence in Codex?

Run `npx skills add patsnap/mcp --skill patsnap-scientific-translational-evidence -a codex`. Or copy the skill folder (life-sciences/patsnap-scientific-translational-evidence in patsnap/mcp) into .agents/skills/patsnap-scientific-translational-evidence in your project. Codex loads it when a task matches its description.

Can I use Patsnap Scientific Translational Evidence 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 patsnap/mcp --skill patsnap-scientific-translational-evidence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/patsnap-scientific-translational-evidence, .gemini/skills/patsnap-scientific-translational-evidence, .github/skills/patsnap-scientific-translational-evidence and .opencode/skills/patsnap-scientific-translational-evidence in your project.

What does Patsnap Scientific Translational Evidence need to run?

SKILL.md names no scripts, command-line tools or credentials: Patsnap Scientific Translational Evidence is instructions for the agent only. Our summary lists: A credential in YOUR_API_KEY.

Does Patsnap Scientific Translational Evidence access the network?

SKILL.md names 3 domains. In commands or code: connect.patsnap.com; the agent is likely to contact it when it follows the instructions. As links in the text: open.patsnap.com and eureka.patsnap.com. This is read from the text; nothing was executed.

Is Patsnap Scientific Translational Evidence 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 Patsnap Scientific Translational Evidence use?

Patsnap Scientific Translational Evidence 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.

How many tokens does Patsnap Scientific Translational Evidence use?

About 728 tokens (SKILL.md is roughly 2.9k 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 Patsnap Scientific Translational Evidence?

Skills that share tags, products or a category with Patsnap Scientific Translational Evidence: Read GitHub (AgentTeam-TaichuAI/ScienceClaw, 671 stars), Setting Up Papergraph (lotchuazzz-crypto/papergraph-mcp, 282 stars), Sciverse (opendatalab/Sciverse-Agent-Tools, 120 stars) and Add App Tool (cyanheads/pubmed-mcp-server, 158 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Patsnap Scientific Translational Evidence?

patsnap (a GitHub organization) maintains it in patsnap/mcp, which has 113 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on August 20, 2026.

Source: patsnap/mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.