菜单
UCSC Genome Browser Exploration - Explore genome via UCSC: list genomes, list tracks, get sequence, get track data, and cytoband info. Use this skill for genomics tasks involving list genomes list tracks get sequence get track data get cytoband. Combines 5 tools from 1 SCP server(s).
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/SpectrAI-Initiative/InnoClaw --skill ucsc-genome-exploration命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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.
Use when the user wants the full multi-stage paper discussion workflow, a comprehensive structured discussion of one paper, or an equivalent full-discussion request in another language.
Use when the user wants question-driven help on one paper, including paper understanding, follow-up questions, method or experiment clarification, limitation analysis, or comparison against related work in any language.
基于 SOC 职业分类
正在显示 SKILL.md
| name | ucsc_genome_exploration |
| description | UCSC Genome Browser Exploration - Explore genome via UCSC: list genomes, list tracks, get sequence, get track data, and cytoband info. Use this skill for genomics tasks involving list genomes list tracks get sequence get track data get cytoband. Combines 5 tools from 1 SCP server(s). |
Discipline: Genomics | Tools Used: 5 | Servers: 1
Explore genome via UCSC: list genomes, list tracks, get sequence, get track data, and cytoband info.
list_genomes from ucsc-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSClist_tracks from ucsc-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSCget_sequence from ucsc-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSCget_track_data from ucsc-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSCget_cytoband from ucsc-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSC{
"genome": "hg38",
"chrom": "chr17",
"start": 43044295,
"end": 43125370
}
Note: Replace
sk-b04409a1-b32b-4511-9aeb-22980abdc05cwith your own SCP Hub API Key. You can obtain one from the SCP Platform.
import asyncio
import json
from contextlib import AsyncExitStack
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.sse import sse_client
SERVERS = {
"ucsc-server": "https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSC"
}
async def connect(url, stack):
transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "sk-b04409a1-b32b-4511-9aeb-22980abdc05c"})
read, write, _ = await stack.enter_async_context(transport)
ctx = ClientSession(read, write)
session = await stack.enter_async_context(ctx)
await session.initialize()
return session
def parse(result):
try:
if hasattr(result, 'content') and result.content:
c = result.content[0]
if hasattr(c, 'text'):
try: return json.loads(c.text)
except: return c.text
return str(result)
except: return str(result)
async def main():
AsyncExitStack() stack:
sessions = {}
sessions[] = connect(, stack)
result_1 = sessions[].call_tool(, arguments={})
data_1 = parse(result_1)
()
result_2 = sessions[].call_tool(, arguments={})
data_2 = parse(result_2)
()
result_3 = sessions[].call_tool(, arguments={})
data_3 = parse(result_3)
()
result_4 = sessions[].call_tool(, arguments={})
data_4 = parse(result_4)
()
result_5 = sessions[].call_tool(, arguments={})
data_5 = parse(result_5)
()
()
__name__ == :
asyncio.run(main())