القائمة
Search PubMed database for scientific articles and publications to retrieve biomedical literature.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use the ACPX CLI through DrClaw's existing exec/long_exec tools to run Codex in the current project workspace.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Convert a user style request into concrete rewrite constraints and apply that style during de-flavoring. Use when the user specifies a target tone, audience, or writing persona.
Diagnose formulaic writing patterns and authorial gaps before rewriting. Use when text feels generic, over-smoothed, abstract, or structurally mechanical and you need a targeted edit plan.
Guard against meaning drift during de-flavor rewrites. Use when rewriting text to sound more natural without adding facts, changing claims, or losing important constraints.
Rebuild specificity, texture, and authorial judgment in a rewrite without inventing facts. Use when text feels abstract, generic, over-smoothed, or full of empty framing.
| name | pubmed-article-search |
| description | Search PubMed database for scientific articles and publications to retrieve biomedical literature. |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class ToolUniverseClient:
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.read, self.write, self.get_session_id = await self.transport.__aenter__()
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self.session_ctx.__aenter__()
await self.session.initialize()
return True
except Exception as e:
return False
async def disconnect(self):
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
def parse_result(self, result):
try:
if hasattr(result, 'content') and result.content:
content = result.content[0]
if hasattr(content, 'text'):
return json.loads(content.text)
return str(result)
except Exception as e:
return {"error": f"parse error: {e}", "raw": str(result)}
## Initialize and use
client = ToolUniverseClient("https://scp.intern-ai.org.cn/api/v1/mcp/36/ToolUniverse", "<your-api-key>")
await client.connect()
result = await client.session.call_tool("PubMed_search_articles", arguments={"query": "protein", "limit": 10})
result_data = client.parse_result(result)
for i, article in enumerate(result_data, 1):
print(f"{i}. {article['title']}")
print(f" Authors: {', '.join(article['authors'][:3])}")
print(f" Journal: {article['journal']} ({article['year']})")
print(f" DOI: {article['doi']}")
print(f" URL: {article['url']}\n")
await client.disconnect()
PubMed_search_articlesquery (str) - Search query, limit (int) - Max results