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-chemistry-small-moleculegit 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-chemistry-small-molecule)<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-chemistry-small-molecule"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-chemistry-small-molecule/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-chemistry-small-molecule"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-chemistry-small-molecule.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00045 | $0.00630 |
| Opus 5 | $0.00023 | $0.00315 |
| Sonnet 5 | $0.00009 | $0.00126 |
| Haiku 4.5 | $0.00005 | $0.00063 |
Grade A, and why
patsnap-chemistry-small-molecule 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.
This is a copy
80% identical to patsnap-maintain-payment — 56 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 72 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 Chemistry & Small Molecule
This skill connects your AI agent to Patsnap's Chemistry & Small Molecule MCP server — providing professional-grade life sciences intelligence.
Intelligent chemical small molecule analysis platform, covering chemical structure search, structure details analysis, and ADMET property prediction.
Prerequisites
This skill requires the Patsnap Chemistry & Small Molecule MCP server to be configured in your environment:
{
"mcpServers": {
"chemistry_small_molecule": {
"url": "https://connect.patsnap.com/f71d33/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/chemistry-small-molecule
Instructions for AI Agents
Step 1: Chemical Entity Recognition
When a user mentions a chemical name, drug, or SMILES string, resolve it to a standard structure or identifier.
Step 2: Structure Search
Use structure_search for exact matches or similarity analogs. Fetch full details with structure_fetch.
Step 3: Property Prediction
Use admet_predict to evaluate drug-likeness and pharmacokinetic properties.
Step 4: Output Synthesis
Present SMILES/InChI, scaffold descriptions, and tabular comparisons of analogs.
Example Workflows
Lead Optimization
- Run
structure_searchwith a lead SMILES. - Fetch analog details with
structure_fetch. - Predict ADMET with
admet_predictto prioritize candidates.
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 · 72 lines · 45 tokens per session scan A d9b9f01712fe
patsnap-chemistry-small-molecule is a skill published in the GitHub repository patsnap/mcp (111 stars, last pushed 23d ago), licensed Apache-2.0. It adds 45 tokens to every session and 630 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to patsnap-maintain-payment, differing in 56 lines, and is treated as a copy.
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