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Code Interpreter

Checked
aws-samples·vlatest·backend·MIT

Code Interpreter lets you execute Python code within a chat session to analyze data, generate reports, and automate tasks – incredibly useful for data exploration!

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill code-interpreter -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aws-samples

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aws-samples/sample-strands-agent-with-agentcore at 4c1933d9e3.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
4c1933d9e3
Manifest
chatbot-app/agentcore/skills/code-interpreter/SKILL.md
Scanned
1 file, 378 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The code-interpreter skill allows an AI agent to execute Python code. This enables the agent to perform tasks requiring computation, data analysis, or interaction with external APIs through Python libraries. It can generate and run code snippets directly within the agent's environment to solve complex problems.

When to use it

  • Data Analysis: When you need the agent to analyze a dataset (e.g., calculate statistics, create visualizations).
  • API Interaction: To interact with external APIs that have Python SDKs available.
  • Complex Calculations: For tasks requiring mathematical operations or logical processing beyond simple text manipulation.
  • Code Generation & Testing: To generate and test small code snippets for specific purposes.

Key capabilities

  • Python code execution
  • Access to standard Python libraries
  • Ability to generate code within the agent's environment

Example prompts

  • "Calculate the average of these numbers: 1, 2, 3, 4, 5."
  • "Write a Python script to fetch today’s weather from the OpenWeatherMap API and print the temperature."
  • “Generate a simple plot showing the relationship between X and Y data.”

Tips & gotchas

The agent's code execution environment may have limitations on library availability or computational resources. Be mindful of potential security implications when allowing code execution within an AI agent.