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 santoshkanthety/powerbi-agent --skill powerbi-measure-glossarygit clone --depth 1 https://github.com/santoshkanthety/powerbi-agentWrote 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/santoshkanthety/powerbi-agent/powerbi-measure-glossary)<a href="https://agentmods.dev/skills/santoshkanthety/powerbi-agent/powerbi-measure-glossary"><img src="https://agentmods.dev/badge/skills/santoshkanthety/powerbi-agent/powerbi-measure-glossary/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/santoshkanthety/powerbi-agent/powerbi-measure-glossary"><img src="https://agentmods.dev/badge/skills/santoshkanthety/powerbi-agent/powerbi-measure-glossary.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 | $0.00074 | $0.01454 |
| Opus 5 | $0.00037 | $0.00727 |
| Sonnet 5 | $0.00015 | $0.00291 |
| Haiku 4.5 | $0.00007 | $0.00145 |
Grade A, and why
powerbi-measure-glossary 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 12d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Measure Lineage & Semantic Model Glossary
Trigger
Activate when the user mentions: measure lineage, measure description, formula documentation, DAX glossary, business glossary, measure visibility, what does this measure do, measure dependency, measure catalogue, document measures, annotate measures, formula visibility, where is this measure used, measure impact, self-documenting model
What You Know
You have audited Power BI models with 500+ measures where nobody knew what half of them did. You know how to build self-documenting semantic models where every measure is traceable from business question to DAX formula to source column.
The Three Layers of Measure Documentation
1. Description → What does this measure do in business terms?
2. Formula lineage → Which columns/tables/other measures does it depend on?
3. Glossary entry → How is the business term defined for non-technical users?
Adding Descriptions to Measures
Via CLI (batch approach)
# Set description on a specific measure
pbi-agent model set-description \
--measure "Total Sales" \
--description "Sum of all completed order line amounts (excl. cancelled, returned). Source: fact_sales[sales_amount]. Refreshed: daily at 6am UTC."
# Bulk import descriptions from a CSV
pbi-agent model import-descriptions --file descriptions.csv
descriptions.csv format
object_type,table,name,description
measure,Sales,"Total Sales","Sum of completed order amounts. Source: fact_sales[sales_amount]."
measure,Sales,"Sales YTD","Year-to-date sales using DATESYTD. Resets 1 Jan."
measure,Sales,"Sales YoY%","(Total Sales - Sales PY) / Sales PY. Blank if no prior year data."
table,,dim_customer,"One row per customer. SCD Type 2. Source: CRM Salesforce."
column,dim_customer,customer_segment,"Customer tier: Platinum / Gold / Silver / Bronze based on LTV."
Via TMDL (source-controlled models)
# In tables/Sales/measures/Total Sales.tmdl
measure 'Total Sales' = SUM(Sales[Amount])
formatString: "#,0"
description: """
Sum of all completed order line amounts (excl. cancelled, returned).
Source: fact_sales[sales_amount].
Calculation: SUM of Amount where OrderStatus = 'Completed'.
Refreshed: daily at 6am UTC.
Owner: Sales Analytics Team.
"""
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.
- 12d ago First seen · 175 lines · 0 tokens per session scan A 17b39c2c57f3
powerbi-measure-glossary is a skill published in the GitHub repository santoshkanthety/powerbi-agent (2 stars, last pushed 13d ago), licensed MIT. It adds 74 tokens to every session and 1,454 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 2026-08-31.
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