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Python Sdk

Checked
inference-sh·vlatest·backend

Provides Python guidance and assistance for developing backend services and APIs.

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 inference-sh/skills --skill python-sdk -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

inference-sh

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 inference-sh/skills at c2d5678f14.

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

Commit
c2d5678f14
Manifest
sdk/python-sdk/SKILL.md
Scanned
7 files, 2,194 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 inference-sh/python-sdk skill provides a Python Software Development Kit (SDK) for interacting with Inference API. This SDK allows AI agents to programmatically execute Python code, access data, and integrate with external services using Python libraries. It facilitates complex tasks beyond simple text generation by enabling the agent to leverage the full power of the Python ecosystem.

When to use it

  • Data Analysis: An agent needs to perform calculations or statistical analysis on a dataset retrieved from an API.
  • Web Scraping: The agent requires extracting information from websites that are not easily accessible through standard APIs.
  • Automated Tasks: The agent must automate tasks such as sending emails, updating databases, or interacting with other applications via their Python APIs.
  • Complex Logic Execution: When the task logic is too intricate to express solely in natural language instructions.

Key capabilities

  • Python code execution
  • Access to a wide range of Python libraries
  • Integration with external services through API calls
  • Data manipulation and analysis within the agent's workflow

Example prompts

  • "Run this Python script: import requests; print(requests.get('https://www.example.com').text)"
  • "Use pandas to read this CSV data and calculate the average of column 'value'."
  • "Write a python script that scrapes product prices from [website URL] and returns them in JSON format."

Tips & gotchas

  • Ensure the agent has access to necessary Python libraries. Some libraries may require installation or configuration within the Inference API environment.