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-connectnpx skills add microsoft/Dataverse-skills --skill dv-connectgit 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-connect)<a href="https://agentmods.dev/skills/microsoft/dataverse-skills/dv-connect"><img src="https://agentmods.dev/badge/skills/microsoft/dataverse-skills/dv-connect.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 | $0.00051 | $0.05025 |
| Opus 5 | $0.00026 | $0.02513 |
| Sonnet 5 | $0.00010 | $0.01005 |
| Haiku 4.5 | $0.00005 | $0.00502 |
Grade B, and why
dv-connect scanned grade B with 2 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 4d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- `.mcp.json` or `~/.copilot/mcp-config.json` or `~/.cursor/mcp.json` or `~/.codex/config.toml` contains a Dataverse server entry Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sI https://<org>.crm.dynamics.com/api/data/v9.2/ \ How it starts
The opening of the file, as written. The whole thing — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Connect
One-step, idempotent Dataverse connection. Each step checks if it's already done and skips.
Environment-First Rule — All metadata and plugin registrations are created in the environment via API/scripts, then pulled into the repo. Never hand-write solution XML to create components.
Execute steps in order; do not skip ahead. Exception: Step 0 can short-circuit the flow if the workspace is already set up.
Host entry test (FIRST — before Step 0). A local Windows/macOS host is capable by default, whichever agent drives it — it can run the CLIs, use persistent credentials, and host local MCP servers; an approval/sandbox gate isn't a constraint, and a missing CLI = install it. Constrained only when a runtime can't start, auth can't persist, or the host is explicitly ChatGPT Work Mode / Codex cloud / CI / no-keyring Linux (deterministic table: headless-hosts.md). Constrained → install only Python + pip deps,
.env,scripts/auth.py, verifypython scripts/auth.py --check, skip CLI / PAC / MCP. Capable → normal flow below.
Step 0: Detect existing setup (run this first)
Before touching anything, check whether this workspace is already connected to a Dataverse environment. Repeating setup on an already-configured workspace overwrites .env, re-registers MCP, and wastes time.
Run these checks in order. If all four pass, skip straight to Step 7 (final verification) and stop there.
.envis present and complete — file exists at the workspace root and contains non-empty values forDATAVERSE_URL,TENANT_ID, andMCP_CLIENT_ID- MCP is registered —
.mcp.json(Claude Code) or the equivalent Copilot / Cursor config file has adataverse-*server entry pointing at theDATAVERSE_URLfrom.env - Both auth surfaces match
.env—dataverse auth whoshows a profile whoseEnvironment UrlmatchesDATAVERSE_URL, ANDpac org whoagainst a PAC profile for the same URL succeeds. (DV CLI auth covers Connect / Data / Query / Metadata / MCP / Python; PAC auth coversdv-solutionanddv-admin. Both are front-loaded at connect time so neither prompts later.) - Python SDK is importable and current —
python -c "from PowerPlatform.Dataverse.client import DataverseClient; import pandas; from importlib.metadata import version; v=version('PowerPlatform-Dataverse-Client'); assert int(v.split('.')[0])>=1, f'SDK {v} is outdated, need >=1.0.0'"exits 0
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.
- 4d ago First seen · 353 lines · 51 tokens per session scan B 0dd6124ae76b
dv-connect is a skill published in the GitHub repository microsoft/Dataverse-skills (213 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 5,025 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, 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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