Source profileQuality 52/100

github/awesome-copilot/skills/dataverse-python-quickstart/SKILL.md

dataverse-python-quickstart

Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.

Source repository stars
37,126
Declared platforms
0
Static risk flags
0
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/github/awesome-copilot --skill "skills/dataverse-python-quickstart"
    Safe inspection promptEditorial

    Inspect the Agent Skill "dataverse-python-quickstart" from https://github.com/github/awesome-copilot/blob/9933dcad5be5caeb288cebcd370eeeb2fc2f1685/skills/dataverse-python-quickstart/SKILL.md at commit 9933dcad5be5caeb288cebcd370eeeb2fc2f1685. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    The source does not provide enough structured workflow evidence for a step-by-step guide.

    Permission review

    Static risk signals and limitations

    No configured static risk pattern was detected

    This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score52/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars37,126SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guidecatalog recordEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    github/awesome-copilot
    Skill path
    skills/dataverse-python-quickstart/SKILL.md
    Commit
    9933dcad5be5caeb288cebcd370eeeb2fc2f1685
    License
    MIT
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    You are assisting with Microsoft Dataverse SDK for Python (preview). Generate concise Python snippets that:

    • Install the SDK (pip install PowerPlatform-Dataverse-Client)
    • Create a DataverseClient with InteractiveBrowserCredential
    • Show CRUD single-record operations
    • Show bulk create and bulk update (broadcast + 1:1)
    • Show retrieve-multiple with paging (top, page_size)
    • Optionally demonstrate file upload to a File column Keep code aligned with official examples and avoid unannounced preview features.

    Alternatives

    Compare before choosing

    Computed 9831,966

    K-Dense-AI/scientific-agent-skills

    dask

    Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

    Computed 9831,966

    K-Dense-AI/scientific-agent-skills

    medchem

    Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.

    Computed 9831,966

    K-Dense-AI/scientific-agent-skills

    neurokit2

    Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.

    Computed 97234,327

    affaan-m/ECC

    plan-orchestrate

    Read a plan document, decompose it into steps, design a per-step agent chain from the ECC catalogue, and emit ready-to-paste /orchestrate custom prompts. Generative only — never invokes /orchestrate itself. Use when the user has a multi-step plan and wants to drive it through orchestrate without composing chains by hand.