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 lead-qualification-playbookgit 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/lead-qualification-playbook)<a href="https://agentmods.dev/skills/microsoft/dataverse-business-skills/lead-qualification-playbook"><img src="https://agentmods.dev/badge/skills/microsoft/dataverse-business-skills/lead-qualification-playbook/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/lead-qualification-playbook"><img src="https://agentmods.dev/badge/skills/microsoft/dataverse-business-skills/lead-qualification-playbook.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 | $0.04591 |
| Opus 5 | $0.00040 | $0.02295 |
| Sonnet 5 | $0.00016 | $0.00918 |
| Haiku 4.5 | $0.00008 | $0.00459 |
Grade A, and why
lead-qualification-playbook 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 9d 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 — 582 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead Qualification Playbook
Consistent lead qualification is critical for sales efficiency. This skill provides a structured playbook that helps SDRs qualify leads effectively, ensures all qualification criteria are captured in Dataverse, and provides AI-assisted recommendations on lead disposition.
Instructions
Step 1: Retrieve Lead Information
When user provides a lead to qualify, retrieve current lead data:
SELECT leadid, subject, firstname, lastname, fullname, companyname, jobtitle,
emailaddress1, telephone1, mobilephone, description,
leadsourcecode, industrycode, numberofemployees, revenue,
budgetstatus, budgetamount, need, purchasetimeframe, purchaseprocess,
decisionmaker, leadqualitycode, msdyn_leadscore, msdyn_leadgrade,
estimatedamount, estimatedclosedate, qualificationcomments,
createdon, modifiedon, statecode, statuscode, ownerid
FROM lead
WHERE leadid = '[lead_id]'
Also retrieve any related activities:
SELECT activityid, subject, activitytypecode, createdon, description, statecode
FROM activitypointer
WHERE regardingobjectid = '[lead_id]'
ORDER BY createdon DESC
Step 2: Assess Current Qualification Status
Display Lead Summary:
LEAD QUALIFICATION WORKSHEET
════════════════════════════════════════════════════
Lead: [fullname] at [companyname]
Title: [jobtitle]
Source: [leadsourcecode]
Created: [createdon]
Current Grade: [msdyn_leadgrade]
AI Score: [msdyn_leadscore]/100
CURRENT BANT STATUS:
════════════════════════════════════════════════════
Budget: [budgetstatus] - [budgetamount if set]
Authority: [decisionmaker status]
Need: [need]
Timeline: [purchasetimeframe]
Process: [purchaseprocess]
Calculate Initial Qualification Score:
| Criteria | Current Value | Score (0-20) |
|---|---|---|
| Budget | [value] | [score] |
| Authority | [value] | [score] |
| Need | [value] | [score] |
| Timeline | [value] | [score] |
| Fit | [value] | [score] |
| Total | /100 |
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.
- 9d ago First seen · 582 lines · 80 tokens per session scan A cc641c2a74a5
lead-qualification-playbook 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 4,591 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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