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-metadatanpx skills add microsoft/Dataverse-skills --skill dv-metadatagit 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-metadata)<a href="https://agentmods.dev/skills/microsoft/dataverse-skills/dv-metadata"><img src="https://agentmods.dev/badge/skills/microsoft/dataverse-skills/dv-metadata.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 | $0.00067 | $0.05082 |
| Opus 5 | $0.00034 | $0.02541 |
| Sonnet 5 | $0.00013 | $0.01016 |
| Haiku 4.5 | $0.00007 | $0.00508 |
Grade A, and why
dv-metadata 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`systemform` (forms) and `savedquery` (views) are **ordinary entities** — create/read/modify them with the **SDK's record CRUD** (no `urllib`). Only **publishing** (`PublishXml`, an unbound action) needs `dataverse api r How it starts
The opening of the file, as written. The whole thing — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Metadata — Making Changes
Before the first metadata change in a session:
- Confirm the target environment with the user — see the Multi-Environment Rule in dv-overview.
- Confirm the solution — ask "What solution should these components go into?" If
SOLUTION_NAMEis in.env, confirm it. If no solution exists yet, you MUST ask the user for the solution name and publisher prefix before creating anything. The publisher prefix is permanent — it cannot be changed after components are created with it.
STOP and ask the user:
"What solution name and publisher prefix should I use? The prefix (e.g.,
contoso,lit,soc) is permanent on every table and column."
Then query existing publishers and show them — the user may want to reuse one:
# Publisher discovery + solution creation — use SDK (never raw Web API).
# See dv-solution for the full publisher discovery flow.
publishers = client.records.list("publisher",
filter="customizationprefix ne 'none' and uniquename ne 'MicrosoftCorporation'",
select=["publisherid", "uniquename", "friendlyname", "customizationprefix"], top=10)
# MANDATORY: Show existing publishers to user and ask which to use or create new
After user confirms, create using SDK:
publisher_id = client.records.create("publisher", {
"uniquename": "<name>", "friendlyname": "<display>",
"customizationprefix": "<prefix>", # from user input, NOT hardcoded
"description": "<desc>",
})
solution_id = client.records.create("solution", {
"uniquename": "<SolutionName>", "friendlyname": "<Display Name>",
"version": "1.0.0.0",
"[email protected]": f"/publishers({publisher_id})",
})
Never create tables or columns outside a solution.
- Pass
solution="<UniqueName>"in every SDK call, or include"MSCRM.SolutionName": "<UniqueName>"on every raw Web API call.
Skill boundaries
| Need | Use instead |
|---|---|
| Create, update, or delete data records | dv-data |
| Query or read records | dv-query |
| Export or deploy solutions | dv-solution |
| ERP schema | see erp-target.md |
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.
- 4d ago First seen · 500 lines · 67 tokens per session scan A 2a725f0411c9
dv-metadata is a skill published in the GitHub repository microsoft/Dataverse-skills (213 stars, last pushed 4d ago), licensed MIT. It adds 67 tokens to every session and 5,082 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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