pubchem-smiles-search — openclaw pubchem-smiles-search, InnoClaw, community, openclaw, ide skills, Claude Code, Cursor, Windsurf

v1.0.0

À propos de ce Skill

An AI research Agent for scientific innovation.

# Core Topics

SpectrAI-Initiative SpectrAI-Initiative
[368]
[20]
Updated: 4/3/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 3/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Quality floor passed for review
Review Score
3/11
Quality Score
56
Canonical Locale
en
Detected Body Locale
en

An AI research Agent for scientific innovation.

Pourquoi utiliser cette compétence

An AI research Agent for scientific innovation.

Meilleur pour

Suitable for operator workflows that need explicit guardrails before installation and execution.

Cas d'utilisation exploitables for pubchem-smiles-search

! Sécurité et Limitations

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is pubchem-smiles-search?

An AI research Agent for scientific innovation.

How do I install pubchem-smiles-search?

Run the command: npx killer-skills add SpectrAI-Initiative/InnoClaw/pubchem-smiles-search. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

Which IDEs are compatible with pubchem-smiles-search?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add SpectrAI-Initiative/InnoClaw/pubchem-smiles-search. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use pubchem-smiles-search immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

pubchem-smiles-search

Install pubchem-smiles-search, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

PubChem SMILES Search

Usage

python
1import asyncio 2import json 3from contextlib import AsyncExitStack 4from mcp.client.streamable_http import streamablehttp_client 5from mcp import ClientSession 6 7class OrigeneClient: 8 def __init__(self, server_url: str, api_key: str): 9 self.server_url = server_url 10 self.api_key = api_key 11 self.session = None 12 13 async def connect(self): 14 try: 15 self.transport = streamablehttp_client(url=self.server_url, headers={"SCP-HUB-API-KEY": self.api_key}) 16 self._stack = AsyncExitStack() 17 await self._stack.__aenter__() 18 self.read, self.write, self.get_session_id = await self._stack.enter_async_context(self.transport) 19 self.session_ctx = ClientSession(self.read, self.write) 20 self.session = await self._stack.enter_async_context(self.session_ctx) 21 await self.session.initialize() 22 return True 23 except Exception as e: 24 return False 25 26 async def disconnect(self): 27 """Disconnect from server""" 28 try: 29 if hasattr(self, '_stack'): 30 await self._stack.aclose() 31 print("✓ already disconnect") 32 except Exception as e: 33 print(f"✗ disconnect error: {e}") 34 def parse_result(self, result): 35 if isinstance(result, dict): 36 content_list = result.get("content") or [] 37 else: 38 content_list = getattr(result, "content", []) or [] 39 texts = [] 40 for item in content_list: 41 if isinstance(item, dict): 42 if item.get("type") == "text": 43 texts.append(item.get("text") or "") 44 else: 45 if getattr(item, "type", None) == "text": 46 texts.append(getattr(item, "text", "") or "") 47 return "".join(texts) 48 49## Initialize and use 50client = OrigeneClient("https://scp.intern-ai.org.cn/api/v1/mcp/8/Origene-PubChem", "<your-api-key>") 51await client.connect() 52 53result = await client.session.call_tool("search_pubchem_by_smiles", arguments={"smiles": "C[C@H](N)C(=O)O"}) 54print(client.parse_result(result)) 55 56await client.disconnect()

Tool: search_pubchem_by_smiles

  • Args: smiles (str) - SMILES notation
  • Returns: PubChem compound data including CID, name, properties

Use Cases

  • Compound identification, chemical property lookup, drug database search

Compétences associées

Looking for an alternative to pubchem-smiles-search or another community skill for your workflow? Explore these related open-source skills.

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