microsoft/power-platform-skills is a plugin marketplace containing reusable skills, agents, and commands for developing with Microsoft Power Platform. Developers use it to build and deploy Power Pages sites, model-driven Power Apps, and related solutions through Claude Code or GitHub Copilot. The catalogue entries are the marketplace's included skills, agents, plugins, and other agent components.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/microsoft/power-platform-skills/add-dataversenpx skills add microsoft/power-platform-skills --skill add-dataversegit clone --depth 1 https://github.com/microsoft/power-platform-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/microsoft/power-platform-skills/add-dataverse)<a href="https://agentmods.dev/skills/microsoft/power-platform-skills/add-dataverse"><img src="https://agentmods.dev/badge/skills/microsoft/power-platform-skills/add-dataverse.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00050 | $0.01354 |
| Opus 5 | $0.00025 | $0.00677 |
| Sonnet 5 | $0.00010 | $0.00271 |
| Haiku 4.5 | $0.00005 | $0.00135 |
Grade A, and why
add-dataverse scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📋 Shared Instructions: shared-instructions.md - Cross-cutting concerns.
References:
- dataverse-reference.md - Picklist fields, virtual fields, lookups, file/image columns, form patterns (CRITICAL)
- api-authentication-reference.md - Dataverse API auth, token, publisher prefix
- table-management-reference.md - Query, create, extend tables and columns
- data-architecture-reference.md - Relationship types, dependency tiers
Add Dataverse
Two paths: existing tables (skip to Step 5) or new tables (full workflow).
Workflow
- Plan → 2. Setup API Auth → 3. Review Existing Tables → 4. Create Tables → 5. Add Data Source → 6. Review Generated Files → 7. Build
Step 1: Plan
Check memory bank for project context. Ask the user:
- Which Dataverse table(s) do they need? (e.g.,
account,contact,cr123_customentity) - Do the tables already exist in their environment, or do they need to create new ones?
If tables already exist: Skip to Step 5.
If creating new tables:
- Ask about the data they need and design an appropriate schema
- Use standard Dataverse tables when appropriate (
contactfor people,accountfor organizations) - Build a dependency graph -- see data-architecture-reference.md for tier classification
- Enter plan mode with
EnterPlanMode, present ER model with tables, columns, relationships, and creation order - Get approval with
ExitPlanMode
Step 2: Setup API Auth (if creating tables)
See api-authentication-reference.md for full details.
az account show # Verify Azure CLI logged in
# Find your Dataverse environment URL:
# In make.powerapps.com → Settings → Developer resources → Web API endpoint
# It looks like: https://<org-name>.crm.dynamics.com/api/data/v9.2/
# Use the base URL: https://<org-name>.crm.dynamics.com
$api = Initialize-DataverseApi -EnvironmentUrl "https://<org>.crm.dynamics.com"
$headers = $api.Headers
$baseUrl = $api.BaseUrl
$publisherPrefix = $api.PublisherPrefix
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 144 lines · 50 tokens per session scan A de295851a454
add-dataverse is a skill published in the GitHub repository microsoft/power-platform-skills (814 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 1,354 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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advanced-alchemy
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sqlspec
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pytest-databases
Auto-activate for pytestdatabases, Docker DB fixtures, PostgreSQL/pgvector/ParadeDB, MySQL/MariaDB, Oracle/SQL Server, CockroachDB/YugabyteDB, MongoDB, Redis/Valkey, Elasticsearch, BigQuery/Spanner, Azurite, MinIO, or RustFS tests. Not for mocked databases.