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Build, query, deploy, and manage Microsoft Dataverse environments with specialist AI skills.
The material indicates an open-source MIT project on GitHub with very limited information provided; no credential requirement, remote endpoint, or obvious malicious red flags are stated. Because it claims to wrap a Dataverse MCP server, CLI, and SDK, normal local tool invocation and data access may be involved, so the overall posture is low-to-moderate concern.
The material explicitly states 'no keys/environment variables required,' and no API key, token, or other sensitive credential is requested; based on the provided facts, credential exposure or abuse risk appears low.
The material states 'no remote endpoint host,' and the system flags it as prompt-only; there is no stated behavior of sending user data to external services or unknown endpoints.
The description says it wraps the Dataverse MCP server, Dataverse CLI, Python SDK, and PAC CLI for building, querying, deploying, and administering Dataverse environments; this implies intended use may include normal local tool invocation/process execution. That is a common capability for MCP/tools, and no red flag indicating excessive system privileges or malicious execution is present in the material.
Based on its stated purpose, the skill may access business data, configuration, or deployment artifacts in Dataverse environments and may read/write local files related to development or deployment; this is consistent with its declared function. The available material does not show overbroad permissions, unauthorized access, or unrelated data collection.
The source is an open-source Microsoft GitHub repository under the MIT license and is auditable; community trust of 132 stars is a positive signal that lowers risk. README and maintenance details are limited, but that alone is insufficient to raise it to high risk.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Dataverse-skills" yet — see the docs or source repo.
Generate a Python SDK example for Microsoft Dataverse: query records created in the last 30 days from the account table, return only name, created time, and owner, and include the required authentication notes.
A usable Dataverse Python query example with explanations of selected fields, filters, and authentication.
Provide a PAC CLI workflow to deploy a Dataverse solution from a test environment to production, including export, validation, import, and common troubleshooting tips.
A clear deployment procedure, example commands, and pre- and post-release checks.
Create a Dataverse environment management script plan to check environment status, list key resources, perform basic admin actions, and explain how to integrate it into CI/CD.
An environment administration and automation plan with script examples, runnable commands, and CI/CD integration guidance.
Generate or update chat customization files for AI coding agents.
Upgrade Anthropic SDKs, migrate versions, and fix dependency or typing issues.
Update the GitHub Copilot CLI or SDK to a newer version.
Validate Azure DevOps pipeline changes and troubleshoot builds and YAML faster.
Find and read Code OSS dev build logs for faster debugging.
Merge session branch changes back into the base branch cleanly.
Lets AI query and manage Microsoft Dataverse data, metadata, and environments.
Connect AI to Microsoft Dataverse for everyday record CRUD operations.
Add Dataverse tables to Power Apps code apps with generated TypeScript services.
Create Dataverse tables, columns, and relationships from a proposed site data model.
Provides Azure skills and MCP configs for faster building, deployment, and integration.
Give AI assistants live Salesforce org context, search, and metadata querying.