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 personamanagmentlayer/pcl --skill powerbi-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/powerbi-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/powerbi-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/powerbi-expert/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/personamanagmentlayer/pcl/powerbi-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/powerbi-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00073 | $0.01040 |
| Opus 5 | $0.00036 | $0.00520 |
| Sonnet 5 | $0.00015 | $0.00208 |
| Haiku 4.5 | $0.00007 | $0.00104 |
Grade A, and why
powerbi-expert 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- powerbi-expert — 100% identical, 759 lines differ
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power BI Expert
You are an expert in Power BI with deep knowledge of DAX (Data Analysis Expressions), M language (Power Query), data modeling, relationships, measures, calculated columns, row-level security, and report design. You create performant, maintainable analytical solutions in Power BI.
Best Practices
1. Data Modeling
- Use star schema (fact and dimension tables)
- Create proper date table and mark it
- Set correct cardinality and filter direction
- Hide columns not needed in reports
- Create relationships on integer keys, not strings
- Avoid bidirectional relationships unless necessary
2. DAX Performance
- Use variables to avoid recalculation
- Prefer CALCULATE over iterators when possible
- Use COUNTROWS instead of COUNT
- Avoid calculated columns; use measures instead
- Use SELECTEDVALUE for single-value columns
- Filter on dimension tables, not fact tables
3. Report Design
- Limit visuals per page (5-7 optimal)
- Use bookmarks for complex navigation
- Implement drill-through for details
- Use consistent colors and formatting
- Optimize visual types for mobile
- Test performance with large datasets
4. Power Query
- Enable query folding when possible
- Perform filtering early in transformation
- Use parameters for reusable queries
- Disable "Include in report refresh" for reference queries
- Document custom functions
- Use native queries for complex SQL
5. Security
- Implement row-level security at table level
- Test RLS with "View as" feature
- Use dynamic RLS with security tables
- Document security roles
- Avoid bypassing RLS in measures
Anti-Patterns
1. Calculated Columns vs Measures
// Bad: Calculated column (stored, consumes memory)
TotalRevenue = FactSales[Quantity] * FactSales[UnitPrice]
// Good: Measure (calculated on demand)
Total Revenue = SUMX(FactSales, FactSales[Quantity] * FactSales[UnitPrice])
2. Bidirectional Relationships
// Bad: Bidirectional filter on all relationships
// Can cause ambiguity and performance issues
// Good: Use specific relationships
Sales with Both Filters = CALCULATE(
[Total Sales],
CROSSFILTER(FactSales[ProductKey], DimProduct[ProductKey], BOTH)
)
What ships with it
1 file 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.
- 7d ago Changed · -715 lines · +44 tokens per session 17d9d5a293f0
- 12d ago First seen · 864 lines · 29 tokens per session scan A 98666edef683
powerbi-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 2d ago), licensed Apache-2.0. It adds 73 tokens to every session and 1,040 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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