microsoft/Dataverse-skills is a collection of skills that lets AI coding agents build, query, deploy, and administer Microsoft Dataverse environments and linked Dynamics 365 Finance and Operations systems. It is for working with Dataverse data models, records, solutions, and Finance and Operations development through natural-language instructions. The catalogue entries are the skills and plugin that operate the Dataverse tools and workflows.
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 skills add microsoft/Dataverse-skills --skill dv-securitygit clone --depth 1 https://github.com/microsoft/Dataverse-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/dataverse-skills/dv-security)<a href="https://agentmods.dev/skills/microsoft/dataverse-skills/dv-security"><img src="https://agentmods.dev/badge/skills/microsoft/dataverse-skills/dv-security/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/microsoft/dataverse-skills/dv-security"><img src="https://agentmods.dev/badge/skills/microsoft/dataverse-skills/dv-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00050 | $0.01986 |
| Opus 5.5 | $0.00020 | $0.00794 |
| Sonnet 5.5 | $0.00010 | $0.00397 |
| Haiku 4.5 | $0.00005 | $0.00199 |
Grade A, and why
dv-security 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 1mo 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Security — Role Assignment and Self-Elevation
This skill uses first-party CLIs — PAC CLI for role changes, Dataverse CLI to verify. Do NOT write Python scripts for role operations.
Preview Before Running
Role grants and self-elevate are destructive (they change security posture and are logged to Purview). Before running, preview the action in plain prose — target user, role, environment(s) — using placeholders (<ENV_URL>, <USER_EMAIL>) for anything unknown, and ask for confirmation and missing values in the same turn. Skip the raw pac admin block; the user shouldn't have to read CLI syntax to approve a security change.
Key principle: the user should be able to evaluate what's about to happen from your first response. A bare "which environment?" fails that test; a one-line prose preview passes it.
Examples
Assign role (user given, env missing):
- ❌ "Which environment should I target?"
- ✅ "I'll assign System Administrator to
[email protected]on<ENV_URL>. Confirm to proceed and provide the target environment URL (or 'all' to list and batch)."
Admin access across all environments:
- ❌ "Please provide your email address."
- ✅ "I'll list your environments, then assign System Administrator in parallel on each one for
<YOUR_UPN>. Ifassign-userfails on any environment, I'll fall back to self-elevate (logged to Purview) for that one. Confirm to proceed and provide your UPN."
Skill boundaries
| Need | Use instead |
|---|---|
| Create or modify tables, columns, relationships | dv-metadata |
| Manage org settings, audit, bulk delete, retention | dv-admin |
| Query or read records | dv-query |
| Write, update, or delete records | dv-data |
| Tenant-level governance (DLP, env lifecycle) | pac admin --help |
Prerequisites
- PAC CLI installed and authenticated (
pac auth create) - System Administrator role in target environment (or Global/PP/D365 Admin for self-elevate)
- Active auth profile:
pac auth list - Headless / restricted-egress hosts: SDK handles role / user / business-unit ops; service principal for PAC-only ops; verify egress with
python scripts/auth.py --check. Seedv-connect/references/headless-hosts.md.
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.
- 1mo ago First seen · 150 lines · 50 tokens per session scan A f40e1d1e9429
dv-security is a skill published in the GitHub repository microsoft/Dataverse-skills (246 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 1,986 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
xrm-mcp
Skip steps you already have answers for. If you ran listtables or describetable earlier in the session, reuse those results.
dynamics365-expert
Expert in Dynamics 365 platform, model-driven apps, canvas apps, Power Automate flows, Dataverse, plugins, and custom workflows. Use when the user mentions Microsoft platforms, ERP, CRM, business apps, the Power Platform, or Dataverse, or when the task involves Dynamics 365 Applications, Dataverse Platform…
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
opik-diagnose
Surface the Opik traces worth a developer's attention, ranked by signal — Diagnostics issues first, then errors, failed tool calls, latency, regressions, and low online-eval scores. With the Opik MCP connected it lists the project's agentinsightsissue entities, offers to turn Diagnostics on when the project has it…
ue-mcp-epic-routing
Use when deciding between ue-mcp's native category actions and Epic's wrapped ToolsetRegistry tools (the epic actions, incl. the Blueprint graph DSL) for a task in Unreal. Pulls in when authoring Blueprint graph bodies, or any time both a native action and an epic action could do the job and you need to pick.
qa-knowledge
To run QA engineering — requirements/gap analysis, scenario & spec design, test implementation, failure triage — over the QA knowledge base.