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 agentmods add skills/pbi-guy/power-bi-optimization-skill/powerbi-optimizationnpx skills add PBI-Guy/Power-BI-Optimization-Skill --skill powerbi-optimizationgit clone --depth 1 https://github.com/PBI-Guy/Power-BI-Optimization-SkillWrote 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/pbi-guy/power-bi-optimization-skill/powerbi-optimization)<a href="https://agentmods.dev/skills/pbi-guy/power-bi-optimization-skill/powerbi-optimization"><img src="https://agentmods.dev/badge/skills/pbi-guy/power-bi-optimization-skill/powerbi-optimization.svg" alt="Measured on agentmods" 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 | $0.00135 | $0.03128 |
| Opus 5 | $0.00068 | $0.01564 |
| Sonnet 5 | $0.00027 | $0.00626 |
| Haiku 4.5 | $0.00014 | $0.00313 |
Grade A, and why
powerbi-optimization 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 6d 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 — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power BI Optimization Skill
Hub skill: Comprehensive Power BI analysis across DAX, model design, and report performance. Invokes specialist skills for deep-dive optimization.
When to Use This Skill
Use when:
- Analyzing Power BI performance issues (slow reports, queries, refresh)
- Optimizing DAX measures, semantic models, or report layouts
- Need triage across multiple domains (DAX + Model + Report)
- Reviewing Power BI solutions for best practices
- Troubleshooting incorrect calculations or unexpected behavior
🎯 Quick Reference: When to Use Which Specialist
| When you have... | Use specialist... | Examples |
|---|---|---|
| Slow measure/formula | @dax-mastery |
Iterators, context transitions, calculation groups, time intelligence |
| Schema/relationship issue | @model-design |
Star schema, many-to-many, storage modes, incremental refresh, unused objects |
| Slow visual/report | @report-performance |
Too many visuals, UX design, accessibility, custom visuals |
| Slow refresh/load | @powerquery-m |
Query folding, M optimization, connector issues, transformation performance |
| RLS issue | @security-rls |
Row-level security, dynamic security, performance with RLS |
Quick Start: 3-Step Workflow
1️⃣ Scope & Context
- Identify what to analyze: DAX measure, model structure, report layout, or end-to-end
- Gather context: data volume, user count, refresh frequency, current performance metrics
- Check for specific goals: performance target, business requirements, constraints
2️⃣ Detect & Prioritize
Run quick checks across domains:
- DAX: Iterators (SUMX, FILTER), context transitions, missing variables, time intelligence patterns
- Model: Star schema validation, cardinality, bi-directional relationships, storage modes
- Report: Visual count (>10 flag), expensive custom visuals, cross-highlighting, slicer design
Priority framework:
- P0 - Incorrect results, severe performance (>30s queries)
- P1 - Major performance issues (10-30s), important UX problems
- P2 - Moderate impact (5-10s), minor UX issues
- P3 - Optimization opportunities, cosmetic improvements
What ships with it
11 files 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.
- analysis-framework.md 16 KB
- BPA-GUIDE.md 26 KB
- handoff-patterns.md 20 KB
- mcp-config-sample.json 5.6 KB
- MCP-GUIDE.md 34 KB
- specialists/dax-mastery.md 12 KB
- specialists/model-design.md 14 KB
- specialists/powerquery-m.md 6.8 KB
- specialists/report-performance.md 9.0 KB
- specialists/security-rls.md 8.4 KB
- templates/analysis-report.md 6.7 KB
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.
- 6d ago First seen · 345 lines · 135 tokens per session scan A b3261ecebc67
powerbi-optimization is a skill published in the GitHub repository PBI-Guy/Power-BI-Optimization-Skill (24 stars, last pushed 2mo ago), licensed MIT. It adds 135 tokens to every session and 3,128 once invoked, about $0.0007 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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