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sandbox-fallback-execution-048d5a

Run Python code directly on the host when repeated e2b sandbox failures block execution. The skill explains saving scripts, launching them through the shell, and checking outputs when an isolated environment is unnecessary.

OriginalShow the original description

Fallback method to execute Python code when execute_code_sandbox fails with e2b errors

Works withExcel
See how to install

Good for

  • Resume Python work after repeated e2b errors
  • Run a saved script to create an Excel file
  • Investigate sandbox timeouts and connection failures
  • Check shell output and generated files

Files included (2)

  • SKILL.md2.4 KB
  • .skill_id47 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Sandbox Fallback Execution

When execute_code_sandbox repeatedly fails with e2b sandbox errors, use this fallback pattern to execute Python code directly on the host system.

When to Use

Use this skill when:

  • execute_code_sandbox fails with e2b-related errors
  • Multiple retry attempts (3+) have not resolved the issue
  • The code does not require sandbox isolation

Steps

Step 1: Write Python Script to File

Use write_file to save your Python code as a .py file:

Tool: write_file
path: /workspace/script_name.py
content: |
  # Your Python code here
  import pandas as pd
  # ... rest of code

Step 2: Execute via Shell

Use run_shell with explicit python3 path:

Tool: run_shell
command: python3 /workspace/script_name.py
timeout: 120

Step 3: Verify Output

Check the stdout/stderr from run_shell for:

  • Successful execution messages
  • Expected output or file creation confirmations
  • Any errors that need debugging

Complete Example

# Instead of this (failing):
Tool: execute_code_sandbox
code: |
  import pandas as pd
  df = pd.DataFrame({'a': [1,2,3]})
  df.to_excel('output.xlsx')

# Use this fallback:
Tool: write_file
path: /workspace/generate_report.py
content: |
  import pandas as pd
  
  # Create sample data
  df = pd.DataFrame({'a': [1,2,3], 'b': [4,5,6]})
  
  # Save to Excel
  df.to_excel('/workspace/output.xlsx', index=False)
  print('File created successfully')

Tool: run_shell
command: python3 /workspace/generate_report.py
timeout: 120

Tips

  1. Use absolute paths in your Python script when reading/writing files
  2. Add print statements for debugging since you won't get interactive output
  3. Increase timeout if the script performs heavy computation
  4. Check working directory - scripts run from the workspace root by default
  5. Handle errors explicitly with try/except blocks and meaningful error messages

Common e2b Errors That Trigger This Fallback

  • E2B execution error
  • Sandbox timeout
  • Connection refused
  • Sandbox initialization failed
  • Repeated retry failures (3+ attempts)

When NOT to Use This Fallback

  • When sandbox isolation is required for security
  • When the code needs specific sandbox environment variables
  • On first failure only - try execute_code_sandbox retry first

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