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/MolClaw --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。
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"} |
Note:
molclaw-file-transfer before execution.molclaw-pdbfixer before execution.molclaw-scp-server to complete tool invocation.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()
All tools utilized within MolClaw skills connect via the MCP protocol. This skill is the unified guide for connecting to the deployed MCP server before invoking tools.
Formats extracted execution patterns into standard MolClaw skill documents. Accepts structured input from the Skill Crystallization Meta-Workflow (L2-12) and outputs a properly formatted L1 or L2 skill document conforming to MolClaw conventions. This skill ensures that auto-generated skills are structurally identical to expert-curated skills, enabling seamless integration into the skill matching and loading pipeline.
Predict the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of the input molecules.
基于 SOC 职业分类