Dataverse Python Production Code

Name: Dataverse Python Production Code
Author: github

Official

github·vlatest·backend·MIT

Generates production-ready Python code to interact with Microsoft Dataverse using authenticated GitHub credentials.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add github/awesome-copilot --skill dataverse-python-production-code -a claude-code

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 28 Sept 2026

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-production-code/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

This skill provides production-ready Python code for interacting with the Dataverse platform, enabling developers to efficiently manage data integration, querying, and API interactions within a backend environment.

When to use it

Integrating Dataverse data into a Python-based backend application.
Automating data retrieval or transformation workflows from Dataverse.
Building scalable APIs that leverage Dataverse as a data source.

Key capabilities

Production-grade Python scripts for Dataverse API interactions.
Backend-focused code optimized for performance and reliability.
Integration examples for common use cases like querying datasets and handling responses.

Example prompts

"Generate Python code to fetch user data from Dataverse using the REST API."
"Write a script that securely connects to Dataverse and exports dataset metadata."
"Implement error handling in a Python function that interacts with the Dataverse API."

Tips & gotchas

Ensure proper authentication credentials are configured before running scripts.
Review Dataverse API rate limits to avoid exceeding usage thresholds during production deployment.