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/dataverse-skills/dv-datanpx skills add microsoft/Dataverse-skills --skill dv-datagit clone --depth 1 https://github.com/microsoft/Dataverse-skillsWhat 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 | $0.00054 | $0.04598 |
| Opus 5 | $0.00027 | $0.02299 |
| Sonnet 5 | $0.00011 | $0.00920 |
| Haiku 4.5 | $0.00005 | $0.00460 |
Grade A, and why
dv-data scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
The MCP/CLI/SDK choice is capability-based (above; and see the overview's **Tool Capabilities** / Hard Rule 2). This section is narrower: **once you've decided to write via a script**, use the SDK for anything in its "su How it starts
The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Data — Create, Update, Delete, and Bulk Import
This skill uses Python and the Dataverse CLI. Do not use Node.js, JavaScript, or any other language for Dataverse scripting. If you are about to run
npm installor write a.jsfile, STOP — you are going off-rails. See the overview skill's Hard Rules.
Use the official Microsoft Power Platform Dataverse Client Python SDK for all data write operations.
Official SDK: https://github.com/microsoft/PowerPlatform-DataverseClient-Python
PyPI package: PowerPlatform-Dataverse-Client (this is the only official one — do not use dataverse-api or other unofficial packages)
Status: GA (1.0.0, Production/Stable)
Skill boundaries
| Need | Use instead |
|---|---|
| Query or read records | dv-query |
| Create tables, columns, relationships, forms, views | dv-metadata |
| Export or deploy solutions | dv-solution |
| ERP writes | See references/erp-writes.md |
Choosing MCP, CLI, or SDK for writes
CLI fast path: If dataverse auth who shows an active profile, CLI commands (data create/update/delete/upsert/associate/upload) work immediately — no .env, auth.py, or pip needed. SDK and bulk operations still need workspace setup.
If MCP tools are available (create_record, update_record, delete_record), they are the quickest path for a small, interactive set of writes — up to 25 records per call, no script needed. The Dataverse CLI (dataverse data create/update/upsert/delete) handles single-record writes, associate/disassociate, and file uploads as headless one-liners. The SDK is the default for bulk writes beyond 25, data transformation, retry logic, CSV import, or SDK-only operations (upsert with alternate keys — MCP has no upsert tool). Pick the surface that fits the volume and shape of the work.
When you script a write, use the SDK — not hand-rolled HTTP
The MCP/CLI/SDK choice is capability-based (above; and see the overview's Tool Capabilities / Hard Rule 2). This section is narrower: once you've decided to write via a script, use the SDK for anything in its "supports" list rather than hand-rolled urllib/requests — the SDK carries the auth, paging, and retry those re-implement. For the rare operation the SDK doesn't cover, use the dataverse api escape hatch — not hand-rolled urllib.
What ships with it
3 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.
- 3d ago First seen · 399 lines · 54 tokens per session scan A ac3bea848733
dv-data is a skill published in the GitHub repository microsoft/Dataverse-skills (213 stars, last pushed 3d ago), licensed MIT. It adds 54 tokens to every session and 4,598 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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