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Python Project

Listed
majiayu000·vlatest·backend·MIT

Generates Python code to build robust backend systems, including APIs, databases, and server logic.

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 majiayu000/spellbook --skill python-project -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

majiayu000

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 failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: astral.sh.

    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.

    Hosts contacted

    astral.shundeclared

    What it found

    • skills/python-project/SKILL.md:90contacts astral.sh
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • skills/python-project/reference/tech-stack.md:29contacts astral.sh
      curl -LsSf https://astral.sh/uv/install.sh | sh
  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 2 places.

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

    What it found

    • skills/python-project/SKILL.md:90remote script piped into a shell
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • skills/python-project/reference/tech-stack.md:29remote script piped into a shell
      curl -LsSf https://astral.sh/uv/install.sh | sh
  • 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 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.

  • Pinned to a commit: passed

    Scanned majiayu000/claude-arsenal at dfb23bc275.

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

Scanned
26 files, 2,636 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

This skill allows AI agents to execute Python projects. It provides a runtime environment for running Python code, enabling tasks like data analysis, scripting, and simple application development directly within the agent's workflow. The skill handles project setup and execution, simplifying complex operations.

When to use it

  • Data Transformation: When an agent needs to clean or transform data from one format to another.
  • Automated Scripting: For automating repetitive tasks like file management or system administration.
  • Simple Calculations: Performing calculations that require more than basic arithmetic operations.
  • Prototyping: Quickly testing and iterating on small code snippets within the agent's environment.

Key capabilities

  • Python project execution
  • Runtime environment for Python code
  • Project setup handling

Example prompts

  • "Run this Python script to calculate the average of these numbers: [numbers]"
  • "Execute this Python code and save the output to a file named 'results.txt': [code]"
  • “Can you use python to convert this CSV file into JSON?”

Tips & gotchas

  • The skill is best suited for smaller, self-contained Python projects. Complex dependencies may require additional setup or configuration.