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-regulatory-guidelinesgit 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-regulatory-guidelines)<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-regulatory-guidelines"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-regulatory-guidelines/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-regulatory-guidelines"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-regulatory-guidelines.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 | $0.00041 | $0.00636 |
| Opus 5 | $0.00020 | $0.00318 |
| Sonnet 5 | $0.00008 | $0.00127 |
| Haiku 4.5 | $0.00004 | $0.00064 |
Grade A, and why
patsnap-regulatory-guidelines 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 12d 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 — 71 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 Regulatory & Guidelines
This skill connects your AI agent to Patsnap's Regulatory & Guidelines MCP server — providing professional-grade life sciences intelligence.
Evidence query tool for regulatory policies and clinical norms, covering semantic evidence retrieval for clinical guidelines and FDA drug labels.
Prerequisites
This skill requires the Patsnap Regulatory & Guidelines MCP server to be configured in your environment:
{
"mcpServers": {
"regulatory_guidelines": {
"url": "https://connect.patsnap.com/6415c2/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/regulatory-guidelines
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
Label Safety Check
- Search
fda_label_searchfor a drug's boxed warnings and dosing. - Cross-check
clinical_guideline_searchfor standard-of-care recommendations.
Resources
- Patsnap Life Sciences: eureka.patsnap.com/ls-landing
- MCP Server: open.patsnap.com/marketplace/mcp-servers
- API Docs: open.patsnap.com/devportal
What ships with it
2 files 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.
- 12d ago First seen · 71 lines · 41 tokens per session scan A d28ee3ce92c6
patsnap-regulatory-guidelines is a skill published in the GitHub repository patsnap/mcp (111 stars, last pushed 22d ago), licensed Apache-2.0. It adds 41 tokens to every session and 636 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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