Python Programming
CheckedEnables Python code execution within plugins via a secure marketplace, extending agent capabilities and functionality.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add pluginagentmarketplace/custom-plugin-ai-data-scientist --skill python-programming -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
pluginagentmarketplace
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.
Automated safety checks
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 pluginagentmarketplace/custom-plugin-ai-data-scientist at eedea7234d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- eedea7234d
- Scanned
- 4 files, 822 lines
About this skill
What it does
This skill allows AI agents to write, debug, and execute Python code. It can generate scripts for data analysis, automate tasks through scripting, and create simple applications based on user instructions. The agent can also handle common programming errors and provide explanations of the generated code.
When to use it
- Data Analysis: When you need to quickly analyze a dataset or perform calculations that are difficult to do manually.
- Automation: To automate repetitive tasks, such as file management or web scraping.
- Script Generation: For creating simple Python scripts based on natural language descriptions of the desired functionality.
- Debugging Assistance: When you have existing Python code with errors and need help identifying and fixing them.
Key capabilities
- Code generation
- Code debugging
- Code execution
- Error handling
- Explanation of generated code
Example prompts
- "Write a Python script to calculate the average of a list of numbers."
- "Debug this Python code: [insert code here]"
- "Create a simple Python program that prints 'Hello, world!'"
- “Generate python code for web scraping”
Tips & gotchas
The agent's effectiveness depends on clear and specific instructions. Providing context or example data can improve the quality of generated code.