.claude/skills/smiles-to-cas-conversion/SKILL.md
Convert SMILES strings to CAS registry numbers using material informatics tools to identify chemical substances.
npx skillsauth add SpectrAI-Initiative/InnoClaw smiles-to-cas-conversionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
import asyncio
import json
from contextlib import AsyncExitStack
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class MaterialToolsClient:
"""SciToolAgent-Mat MCP Client"""
def __init__(self, server_url: str, api_key: str):
self.server_url = server_url
self.api_key = api_key
self.session = None
async def connect(self):
try:
self.transport = streamablehttp_client(
url=self.server_url,
headers={"SCP-HUB-API-KEY": self.api_key}
)
self._stack = AsyncExitStack()
await self._stack.__aenter__()
self.read, self.write, self.get_session_id = await self._stack.enter_async_context(self.transport)
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self._stack.enter_async_context(self.session_ctx)
await self.session.initialize()
return True
except Exception as e:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
"""Disconnect from server"""
try:
if hasattr(self, '_stack'):
await self._stack.aclose()
print("✓ already disconnect")
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
try:
if hasattr(result, 'content') and result.content:
content = result.content[0]
if hasattr(content, 'text'):
try:
return json.loads(content.text)
except:
return content.text
return str(result)
except Exception as e:
return {"error": f"parse error: {e}", "raw": str(result)}
Convert SMILES notation to CAS registry numbers.
Implementation:
## Initialize client
client = MaterialToolsClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-Mat",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
## Input: SMILES strings
smiles_list = [
"CCO", # Ethanol
"CC(=O)O", # Acetic acid
"c1ccccc1" # Benzene
]
print("SMILES to CAS Conversion:")
for smiles in smiles_list:
result = await client.session.call_tool(
"SMILESToCAS",
arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"SMILES: {smiles}")
print(f"Result: {result_data}\n")
await client.disconnect()
SciToolAgent-Mat Server:
SMILESToCAS: Convert SMILES to CAS registry number
smiles (str): SMILES notationtools
Use the local InnoClaw CLI to run app workflows and Deep Research sessions from the terminal. Trigger when the user wants command-line control over this repository instead of only using the web UI.
tools
SNP Functional Impact Analysis - Analyze SNP function: VEP prediction, variation details, phenotype association, and literature evidence. Use this skill for functional genomics tasks involving get vep id get variation get phenotype accession pubmed search. Combines 4 tools from 2 SCP server(s).
tools
SMILES Comprehensive Analysis - Comprehensive SMILES analysis: validate, convert name, compute all molecular descriptors, and predict ADMET. Use this skill for cheminformatics tasks involving is valid smiles ChemicalStructureAnalyzer calculate mol basic info pred molecule admet. Combines 4 tools from 3 SCP server(s).
testing
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, or benchmark skill performance with variance analysis.