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 jnPiyush/AgentX --skill powerbigit clone --depth 1 https://github.com/jnPiyush/AgentXWrote 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/jnpiyush/agentx/powerbi)<a href="https://agentmods.dev/skills/jnpiyush/agentx/powerbi"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/powerbi/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/jnpiyush/agentx/powerbi"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/powerbi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 364 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00050 | $0.03549 |
| Opus 5.5 | $0.00020 | $0.01420 |
| Sonnet 5.5 | $0.00010 | $0.00710 |
| Haiku 4.5 | $0.00005 | $0.00355 |
Grade A, and why
powerbi 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 1mo 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 — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power BI
Reports, semantic models, DAX measures, and data visualizations for business intelligence.
Prerequisites
- Power BI Desktop or Power BI Service workspace
- Data source access (SQL Server, Fabric Lakehouse, Azure SQL, etc.)
- For TMDL/PBIP: Power BI Desktop with PBIP format enabled
When to Use
- Designing star schema semantic models for Power BI
- Authoring DAX measures, calculated columns, and KPIs
- Building Power Query (M) transformations for data ingestion
- Creating report pages with interactive visuals
- Optimizing report and model performance
- Configuring row-level security (RLS)
- Deploying reports via Power BI Service or Fabric workspaces
- Setting up incremental refresh or DirectLake mode
Decision Tree
Working with Power BI?
+- Need a data model?
| +- New from scratch -> Star schema design (this skill)
| +- Existing Fabric Lakehouse -> DirectLake semantic model
| +- Existing SQL database -> Import or DirectQuery mode
| - Multiple sources -> Composite model
+- Need calculations?
| +- Row-level calc -> Calculated column (avoid if possible)
| +- Aggregate/filter-aware -> DAX measure (preferred)
| +- Time intelligence -> Use DATEADD, TOTALYTD, SAMEPERIODLASTYEAR
| - Complex logic -> DAX variables + CALCULATE
+- Need data transformation?
| +- Simple column ops -> Power Query (M)
| +- Complex ETL -> Dataflow Gen2 or Spark notebook
| - Staging/connection -> Power Query with query folding
+- Need deployment?
| +- Single workspace -> Publish from Desktop
| +- Dev/Test/Prod -> Deployment pipelines
| - Automated -> Power BI REST API or Fabric APIs
- Need governance?
+- Data access -> Row-level security (RLS)
+- Object-level -> Object-level security (OLS)
- Endorsement -> Certified / Promoted datasets
Core Concepts
Star Schema
The foundation of every performant Power BI model. All models MUST use star schema design.
| Table Type | Purpose | Naming Convention | Key Properties |
|---|---|---|---|
| Fact | Measurable events (sales, orders, clicks) | Fact_Sales, Fact_Orders |
Numeric columns, foreign keys, date keys |
| Dimension | Descriptive attributes (product, customer, date) | Dim_Product, Dim_Customer |
Surrogate keys, descriptive columns, hierarchies |
| Bridge | Many-to-many resolution | Bridge_CustomerProduct |
Two foreign keys, optional weight column |
| Date | Standard calendar dimension | Dim_Date |
Mark as Date table, continuous range, no gaps |
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.
- 1mo ago Changed 42fa094e3a5d
- 1mo ago First seen · 428 lines · 50 tokens per session scan A a0b608012f6f
powerbi is a skill published in the GitHub repository jnPiyush/AgentX (16 stars, last pushed 3d ago), licensed Apache-2.0. It adds 50 tokens to every session and 3,549 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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