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python-shell-workaround

Run Python through shell commands when sandbox execution fails because required packages are unavailable. The skill explains short commands, multiline scripts, package checks, and output verification, with examples for creating Excel and Word files.

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Workaround for executing Python code with external packages when sandbox fails

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适用场景

  • Continuing Python work after sandbox import failures
  • Creating Excel or Word files through shell commands
  • Running multiline Python scripts with a heredoc

包含的文件(2)

  • SKILL.md2.9 KB
  • .skill_id37 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Python Shell Workaround

When to Use This Skill

Use this pattern when execute_code_sandbox fails with Python code that requires external packages (like openpyxl, python-docx, pandas, etc.) that may not be available in the sandbox environment.

The Pattern

Instead of relying solely on execute_code_sandbox, use run_shell with inline Python commands as a fallback:

python3 -c "your python code here"

Step-by-Step Instructions

Step 1: Detect Sandbox Failure

Watch for errors like:

  • ModuleNotFoundError for common packages
  • Import errors for external libraries
  • Sandbox environment limitations

Step 2: Convert Python Code to Shell Command

Transform your Python script into a one-liner or use a heredoc for longer scripts:

For simple code:

python3 -c "import openpyxl; wb = openpyxl.Workbook(); wb.save('file.xlsx')"

For complex code (using heredoc):

python3 << 'EOF'
import openpyxl
from openpyxl.utils import get_column_letter

wb = openpyxl.Workbook()
ws = wb.active
ws['A1'] = 'Header'
wb.save('output.xlsx')
print('File created successfully')
EOF

Step 3: Execute with run_shell

Use run_shell to execute the command:

tool: run_shell
command: python3 -c "import openpyxl; print('Package available')"

Step 4: Verify Output

Check the stdout/stderr from run_shell to confirm success, then proceed with subsequent steps.

Best Practices

  1. Escape quotes properly: Use single quotes inside double-quoted strings or vice versa
  2. Use heredocs for multiline code: Cleaner and easier to debug
  3. Install packages if needed: Add pip install package before your Python command if packages are missing
  4. Chain commands safely: Use && to ensure prerequisites succeed before running Python code

Example Scenarios

Creating Excel Files

python3 << 'EOF'
import openpyxl
from openpyxl.worksheet.datavalidation import DataValidation

wb = openpyxl.Workbook()
ws = wb.active
ws.title = "Data"

# Add headers
headers = ['Name', 'Email', 'Status']
for col, header in enumerate(headers, 1):
    ws.cell(row=1, column=col, value=header)

wb.save('output.xlsx')
EOF

Creating Word Documents

python3 -c "
from docx import Document
doc = Document()
doc.add_heading('Report', 0)
doc.save('report.docx')
print('Document created')
"

Limitations

  • Complex multiline scripts are harder to maintain as one-liners
  • Debugging is less convenient than in sandbox
  • Some packages may still not be available in the shell environment

Related Patterns

  • If packages are truly unavailable, consider installing them first: pip install package_name && python3 -c "..."
  • For persistent scripts, write to a .py file first, then execute with python3 script.py

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