Dataverse Business Skills is a collection of natural-language instructions that teach AI agents how to follow business processes, policies, and domain knowledge for Microsoft Dataverse. Organizations use the skills with Dataverse environments connected to products such as Power Apps, Dynamics 365, or Power Platform. The catalogue entries are skills from this collection.
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-business-skills --skill daily-briefinggit clone --depth 1 https://github.com/microsoft/dataverse-business-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-business-skills/daily-briefing)<a href="https://agentmods.dev/skills/microsoft/dataverse-business-skills/daily-briefing"><img src="https://agentmods.dev/badge/skills/microsoft/dataverse-business-skills/daily-briefing/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-business-skills/daily-briefing"><img src="https://agentmods.dev/badge/skills/microsoft/dataverse-business-skills/daily-briefing.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00080 | $0.03382 |
| Opus 5 | $0.00040 | $0.01691 |
| Sonnet 5 | $0.00016 | $0.00676 |
| Haiku 4.5 | $0.00008 | $0.00338 |
Grade A, and why
daily-briefing 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 11d 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 — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daily Briefing
Sales reps lose time each morning deciding what to work on. This skill queries Dataverse to surface the day's agenda, flag urgent pipeline issues, highlight overdue commitments, and recommend a prioritized action list. It replaces manual CRM scanning with a structured, actionable daily digest.
Instructions
Step 1: Determine Scope
Accept optional parameters from the user:
- Owner filter: Specific rep (systemuserid or name) or default to current user
- Date: Today (default) or a specified date
Calculate the target date range:
- Day start:
[target_date]T00:00:00Z - Day end:
[target_date]T23:59:59Z
Step 2: Fetch Today's Scheduled Meetings
SELECT appointmentid, subject, scheduledstart, scheduledend, description,
regardingobjectid, regardingobjecttypecode, location, ownerid
FROM appointment
WHERE statecode = 0
AND scheduledstart >= '[day_start]'
AND scheduledstart <= '[day_end]'
AND ownerid = '[ownerid]'
ORDER BY scheduledstart ASC
For each appointment, fetch the regarding record name (account or opportunity) and attendees:
SELECT partyid, participationtypemask
FROM activityparty
WHERE activityid = '[appointmentid]'
Step 3: Fetch Overdue and Due-Today Tasks
Overdue tasks (past due, still open):
SELECT taskid, subject, description, scheduledend, prioritycode,
regardingobjectid, regardingobjecttypecode, ownerid
FROM task
WHERE statecode = 0
AND scheduledend < '[day_start]'
AND ownerid = '[ownerid]'
ORDER BY scheduledend ASC
Due today:
SELECT taskid, subject, description, scheduledend, prioritycode,
regardingobjectid, regardingobjecttypecode, ownerid
FROM task
WHERE statecode = 0
AND scheduledend >= '[day_start]'
AND scheduledend <= '[day_end]'
AND ownerid = '[ownerid]'
ORDER BY prioritycode ASC
Priority codes: 0 = High, 1 = Normal, 2 = Low
Step 4: Pipeline Alerts
Identify opportunities requiring immediate attention today.
Deals closing this month with no recent activity:
SELECT opportunityid, name, estimatedvalue, estimatedclosedate, salesstage,
closeprobability, msdyn_forecastcategory, ownerid, customerid
FROM opportunity
WHERE statecode = 0
AND ownerid = '[ownerid]'
AND estimatedclosedate <= '[end_of_month]'
ORDER BY estimatedclosedate ASC
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.
- 11d ago First seen · 417 lines · 80 tokens per session scan A fd5b0326d772
daily-briefing is a skill published in the GitHub repository microsoft/dataverse-business-skills (50 stars, last pushed 6mo ago), licensed MIT. It adds 80 tokens to every session and 3,382 once invoked, about $0.0004 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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