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-chemical-moleculargit 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-chemical-molecular)<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-chemical-molecular"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-chemical-molecular/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-chemical-molecular"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-chemical-molecular.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 | $0.00038 | $0.00719 |
| Opus 5 | $0.00019 | $0.00360 |
| Sonnet 5 | $0.00008 | $0.00144 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
patsnap-chemical-molecular 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 13d 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 — 84 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 Chemical Molecular
This skill connects your AI agent to Patsnap's Chemical Molecular MCP server — providing professional-grade chemistry search and analysis capabilities.
With this skill, your agent can navigate the complex world of small molecules, from structure-based patent searching to bioactivity data retrieval and synthetic route analysis.
Prerequisites
This skill requires the Patsnap Chemical Intelligence MCP server to be configured in your environment:
{
"mcpServers": {
"chemical_molecular": {
"url": "https://connect.patsnap.com/713886/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/chemical-molecular
Instructions for AI Agents
Step 1: Chemical Entity Recognition
When a user mentions a chemical name, drug, or SMILES string, use the chemical normalization tools to resolve the entity to a standard structure or Patsnap internal ID.
Step 2: Structure-Based Search
- Use Substructure Search to find molecules containing a specific scaffold.
- Use Similarity Search to find analogs of a lead compound.
- Combine structure search with patent filters to investigate the chemical IP landscape.
Step 3: Bioactivity & Property Analysis
Retrieve IC50, Ki, and other bioactivity data from literature and patents to evaluate compound potency and selectivity.
Step 4: Output Synthesis
Present chemical data with:
- SMILES/InChI strings for precise identification.
- Visual descriptions of scaffolds and functional groups.
- Tabular comparisons of bioactivity across different analogs.
Example Workflows
Lead Optimization Support
- Identify lead compound structure.
- Run similarity search to find known analogs.
- Retrieve bioactivity data for all analogs to identify SAR (Structure-Activity Relationship) trends.
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.
- 13d ago First seen · 84 lines · 38 tokens per session scan A 01df1f9459cc
patsnap-chemical-molecular is a skill published in the GitHub repository patsnap/mcp (111 stars, last pushed 23d ago), licensed Apache-2.0. It adds 38 tokens to every session and 719 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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