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Dataverse Python Usecase Builder

Official
github·vlatest·backend·MIT

Generates Python code to automate Dataverse tasks like data import, transformation, and analysis based on user specifications.

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 github/awesome-copilot --skill dataverse-python-usecase-builder -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

github

Matched to the vendor's own GitHub organisation.

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 github/awesome-copilot at 6c4d33b9cf.

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

Commit
6c4d33b9cf
Manifest
skills/dataverse-python-usecase-builder/SKILL.md
Scanned
0 files
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 dataverse-python-usecase-builder skill enables developers to construct and manage use cases for Python-based applications within the Dataverse ecosystem. It provides tools for defining data workflows, integrating with Dataverse APIs, and generating reusable code templates tailored for specific application scenarios.

When to use it

  • Building custom data pipelines that interact with Dataverse datasets
  • Developing AI/ML models that require structured input from Dataverse sources
  • Automating the setup of new projects by generating boilerplate Python scripts

Key capabilities

  • Integration with Dataverse APIs for seamless data retrieval and manipulation
  • Generation of Python code templates for common use cases
  • Support for defining and managing complex data workflows

Example prompts

  • "Generate a Python script to fetch user data from Dataverse and store it in a local database."
  • "Create a template for an AI model training pipeline that uses Dataverse as the data source."
  • "Build a use case for real-time analytics using Dataverse event streams with Python."

Tips & gotchas

  • Ensure your environment has access to the Dataverse API and proper authentication credentials.
  • This skill assumes familiarity with Python and basic Dataverse concepts, so review documentation if needed.