InternScience
InternScience/Agents-A1
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/InternScience/Agents-A1 --skill molclaw-file-transfer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。
Predict the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of the input molecules.
Predict binding affinity between target protein sequence and small molecule SMILES using Boltz-2.
Predict protein structures with Chai-1 from sequence or FASTA input and return model scoring summaries.
基于 SOC 职业分类
正在显示 SKILL.md
| name | molclaw-file-transfer |
| description | Implement data transmission between the local computer and the MCP Server using Base64 encoding |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
Example code:
import base64
client = DrugSDAClient("https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool")
if not await client.connect():
print("connection failed")
return
## Convert local file to base64 string
local_file = "/path/a.txt" #Input local file path
with open(local_file, "rb") as f:
file_content = f.read()
file_base64_string = base64.b64encode(file_content).decode('utf-8')
## Call tool base64_to_server_file to save base64 string as server file
response = await client.session.call_tool(
"base64_to_server_file",
arguments={
"file_name": "a.txt",
"file_base64_string": file_base64_string
}
)
result = client.parse_result(response)
save_file = result["save_file"] #Server file path after transfer
await client.disconnect()
Example code:
import base64
client = DrugSDAClient("https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool")
if not await client.connect():
print("connection failed")
return
## Call tool server_file_to_base64 to convert server file to base64 string
response = await client.session.call_tool(
"server_file_to_base64",
arguments={
"file_path": "/path/a.txt" #Input server file path
}
)
result = client.parse_result(response)
base64_string = result["base64_string"]
file_name = result["file_name"]
## Convert base64 string to local file
file_data = base64.b64decode(base64_string)
local_file_path = "/path/" + file_name
with open(local_file_path, "wb") as f:
f.write(file_data)
await client.disconnect()