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Python Backend

Listed
yonatangross·vlatest·backend·MIT

Helps with Python, backend development as part of developing backend services and APIs workflows.

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 yonatangross/orchestkit --skill python-backend -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

yonatangross

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 1 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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 yonatangross/orchestkit at 7784b90c05.

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

Commit
7784b90c05
Manifest
src/skills/python-backend/SKILL.md
Scanned
0 files
Copies in repo
2 — all of them scanned
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 Python backend skill enables AI agents to execute server-side logic, manage database interactions, and handle API requests within a secure orchestration environment. It bridges the gap between autonomous agent decision-making and persistent, structured data storage by providing a dedicated runtime for Python-based business rules.

When to use it

  • Data Persistence: When an agent needs to save conversation history, user preferences, or task results to a database rather than relying on ephemeral memory.
  • Complex Logic Execution: For scenarios requiring intricate calculations, data transformations, or validation rules that cannot be handled by simple LLM reasoning.
  • API Integration: When the agent must interact with external services, trigger webhooks, or consume REST/GraphQL endpoints as part of a workflow.
  • Scheduled Tasks: To implement background jobs or cron-like behaviors where the agent needs to perform maintenance or data processing at specific intervals.

Key capabilities

  • Runs Python code in an isolated backend environment.
  • Connects to external databases and APIs for data retrieval and storage.
  • Executes complex business logic before returning results to the user.
  • Handles asynchronous tasks and long-running processes efficiently.

Example prompts

  • "Save this meeting summary to my project database and update the status of the associated ticket."
  • "Run a Python script to analyze the sales data from last month and generate a CSV report."
  • "Check the current inventory levels via the API and alert me if any item falls below the reorder threshold."

Tips & gotchas

Ensure your database credentials and API keys are securely configured in the environment variables before deploying, as backend skills often require direct access to external resources. This skill is designed for server-side operations; do not attempt to run interactive user input loops directly from the agent prompt without proper frontend integration.