Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add patsnap/mcp --skill patsnap-pharma-intelligencegit clone --depth 1 https://github.com/patsnap/mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/patsnap/mcp/patsnap-pharma-intelligence)<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-pharma-intelligence"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-pharma-intelligence/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-pharma-intelligence"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-pharma-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.01120 |
| Opus 5 | $0.00020 | $0.00560 |
| Sonnet 5 | $0.00008 | $0.00224 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
patsnap-pharma-intelligence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup
Get your API Key at https://open.patsnap.com
Patsnap Pharma Intelligence
This skill connects your AI agent to Patsnap's Pharma Intelligence MCP server — the most comprehensive pharmaceutical data layer available for AI agents.
With this skill, your agent gains the ability to perform professional-grade pharmaceutical research: from identifying drug targets and searching clinical trials, to analyzing licensing deals and reviewing FDA labels.
Prerequisites
This skill requires the Patsnap Pharma Intelligence MCP server to be configured in your environment:
{
"mcpServers": {
"pharma_intelligence": {
"url": "https://connect.patsnap.com/096456/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: open.patsnap.com/marketplace/mcp-servers/pharma-intelligence
Instructions for AI Agents
Step 1: Always Normalize Entities First
Before executing any search or fetch operation, always call ls_ner_nor_normalize on the user's input text. This tool identifies and normalizes targets, drugs, diseases, companies, mechanisms of action (MoA), patent numbers, and clinical trial IDs — returning the internal IDs required by all downstream tools.
Do not skip this step. Raw user text must be resolved to Patsnap internal IDs for accurate retrieval.
Step 2: Choose the Right Tool for the Task
This MCP provides 28 tools organized across these domains:
- Drug & Pipeline: search and fetch drug assets, licensing and collaboration deals
- Clinical Trials: structured search, semantic search, and published results
- Scientific Literature: paper search, vector search, and translational medicine
- Patents & Regulatory: patent fetch, FDA label semantic search
- Market & Epidemiology: disease data, HEOR, financial reports, epidemiology
- Real-Time News: semantic news search and full article fetch
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 113 lines · 40 tokens per session scan A de944e5f3e66
patsnap-pharma-intelligence is a skill published in the GitHub repository patsnap/mcp (111 stars, last pushed 20d ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,120 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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