Our review
This skill uses Python execution as a scratchpad for calculations, data transformations, and quick script-based validation.
Strengths
- Enables precise, reproducible calculations instead of approximate reasoning.
- Relies on the standard library, making it simple and portable.
- Keeps scripts small and task-specific, which are easy to audit.
- Prevents the agent from inventing outputs without running code.
Limitations
- Requires the Python execution tool (execute_code) to be available.
- Only suitable for short, focused tasks, not full-scale projects.
- Cannot replace a full development environment for extensive testing.
When a task involves arithmetic, unit conversions, regex validation, or transformation of JSON/CSV payloads.
When no Python execution tool is configured or when the problem is conceptual rather than computational.
Security analysis
CautionThe skill instructs the agent to write and run short Python scripts for calculations and data transformation. It contains no destructive, exfiltrating, or obfuscated instructions, but code execution is a powerful tool and warrants caution.
- •The skill uses the execute_code tool, which allows arbitrary Python execution. While the skill itself is benign, this is a powerful capability that should be sandboxed or monitored.
Examples
Use Python to calculate the compound interest on $10,000 at 4.5% annually for 7 years and print the final amount.Write a quick Python script using the standard library to parse this JSON and print the unique keys from all nested objects.Use a small Python script to convert 150 miles into kilometers and print the result.name: python-scratchpad description: Use the existing Python execution tools as a scratchpad for calculations, data transformation, and quick script-based validation. allowed-tools: execute_code
Python Scratchpad
Use this skill when the task benefits from a short Python script instead of pure reasoning.
This skill is especially useful for:
- arithmetic and unit conversions
- validating regexes or parsing logic
- transforming JSON, CSV, or small text payloads
- checking assumptions with a small reproducible script
Requirements:
- The agent should have access to
execute_code.
Workflow:
- If the task needs computation or a repeatable transformation, activate this skill.
- If you need examples, call
read_skill_fileforreferences/examples.md. - Write a short Python script for the exact task.
- Prefer
execute_code. - Use the script output in the final answer.
- Keep scripts small and task-specific.
Rules:
- Prefer standard library Python.
- Print only the values you need.
- Do not invent outputs without running the script.
- If
execute_codeis not available, say exactly:No Python execution tool is configured for this agent. - Do not claim there is a generic execution-environment problem unless a tool call actually returned such an error.
Expected behavior:
- Explain the result briefly after using the script.
- Include the computed value or transformed output in the final answer.
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