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 PracticalSwan/agent-skills --skill powerbi-modelinggit clone --depth 1 https://github.com/PracticalSwan/agent-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/practicalswan/agent-skills/powerbi-modeling)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/powerbi-modeling"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/powerbi-modeling/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/practicalswan/agent-skills/powerbi-modeling"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/powerbi-modeling.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 | $0.00046 | $0.01111 |
| Opus 5 | $0.00023 | $0.00556 |
| Sonnet 5 | $0.00009 | $0.00222 |
| Haiku 4.5 | $0.00005 | $0.00111 |
Grade A, and why
powerbi-modeling 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 today.
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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power BI Modeling
Tech Stack Target / Version: Power BI Desktop current release, Tabular Editor, DAX Studio, and Fabric semantic-model workflows.
Use this skill when the work is inside a Power BI semantic model rather than a generic SQL schema or spreadsheet.
- Leverage native parallel subagent dispatch and 200k+ context windows where available.
Activation Conditions
Use symptom -> action triggers: when one matches, apply this skill and verify with the protocol below.
- Designing or cleaning up a star schema
- Creating or reviewing DAX measures
- Configuring relationships and cross-filter direction
- Implementing row-level security
- Auditing model health and performance
Practical Workflow
- Inspect the current model before changing anything.
- Classify tables as dimension, fact, bridge, or helper tables.
- Prefer explicit measures over implicit aggregation.
- Keep relationships simple and single-direction unless the use case is proven.
- Hide technical fields from report authors.
MCP Reality
Power BI model tooling is host-specific. If your client exposes a Power BI modeling MCP server, inspect the available operations first and map them to the model areas you need: connections, tables, columns, measures, relationships, DAX queries, and security roles.
For Microsoft documentation, the Microsoft Learn MCP server is a good companion. Prefer:
microsoft_docs_search_by_productwithpower-bimicrosoft_docs_fetchfor the final page
Cross-Client Portability
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
- GitHub Copilot: keep the folder in a Copilot-visible skill path or wrap the workflow in project instructions when folder discovery is unavailable.
- Claude Code: keep the folder in a local skills directory or a compatible plugin source.
- Codex: install or sync the folder into
$CODEX_HOME/skills/powerbi-modelingand restart Codex after major changes.
What ships with it
9 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.
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.
- today Changed · +1 lines 5cf6e4e14bc6
- 2d ago Changed c1b113533a85
- 5d ago First seen · 106 lines · 46 tokens per session scan A d4fe7f8e6a5d
powerbi-modeling is a skill published in the GitHub repository PracticalSwan/agent-skills (13 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 1,111 once invoked, about $0.0002 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 2026-09-03.
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