build-power-bi-report

build-power-bi-report is a skill for Claude Code, Codex from rajdeepraoextras-dev/PBI-MCP-Server. It costs 100 tokens per session (898 once invoked), scanned A, original, MIT.

A set of tools for creating Power BI reports, dashboards, and pages from a .pbip project. Power BI is Microsoft's tool for turning data into interactive charts, tables, and reports.

In plain words
What is it for?
Use it to scaffold a full report, create a designed page with key figures and charts, or add individual visuals and filters to an existing report.
Why use it?
It removes much of the manual work of setting up report pages and visuals while checking the project against Power BI's file rules.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to scaffold a full report, create a designed page with key figures and charts, or add individual visuals and filters to an existing report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rajdeepraoextras-dev/pbi-mcp-server/build-power-bi-report
Install

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.

Any agent
npx skills add rajdeepraoextras-dev/PBI-MCP-Server --skill build-power-bi-report
Clone the repo
git clone --depth 1 https://github.com/rajdeepraoextras-dev/PBI-MCP-Server

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for build-power-bi-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/rajdeepraoextras-dev/pbi-mcp-server/build-power-bi-report/github.svg)](https://agentmods.dev/skills/rajdeepraoextras-dev/pbi-mcp-server/build-power-bi-report)
Your own site
<a href="https://agentmods.dev/skills/rajdeepraoextras-dev/pbi-mcp-server/build-power-bi-report"><img src="https://agentmods.dev/badge/skills/rajdeepraoextras-dev/pbi-mcp-server/build-power-bi-report/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.

agentmods 80×15 button for build-power-bi-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/rajdeepraoextras-dev/pbi-mcp-server/build-power-bi-report"><img src="https://agentmods.dev/badge/skills/rajdeepraoextras-dev/pbi-mcp-server/build-power-bi-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 898 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00100 $0.00898
Opus 5 $0.00050 $0.00449
Sonnet 5 $0.00020 $0.00180
Haiku 4.5 $0.00010 $0.00090

Measured 11d ago against content hash 5bb43d276209, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

build-power-bi-report 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 11d 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.

skills/build-power-bi-report/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build a Power BI Report

This plugin ships two MCP servers — pbi-model (semantic model / TMDL) and pbi-report (report / PBIR) — that edit a .pbip project directly on disk. Every write is atomic, backed up, and pre-flight validated against the official Fabric schemas, so you cannot corrupt the project.

Always do this first

Call pbi_set_project(path) on the server you're using (each server tracks its own project). Point it at a .pbip file or the project folder. Then call pbi_capabilities() once to load the exact visual types, buckets, and filter kinds — don't guess bucket names, read them.

The default is BUILD, and the fastest path is scaffold

Prefer building over interrogating the user. Scale questions to scope:

Request What to do
"Build me a report" / broad pbi_scaffold_report(dry_run=true) → show the proposed pages → build
A specific page (KPIs + charts) pbi_build_designed_page(...) in one call
One or a few visuals on a page pbi_add_visual / pbi_build_page
One visual, one property Just do it

pbi_scaffold_report — the autopilot

One call profiles the model (fact/dimension/date tables, measure roles, grouping columns) and builds a themed, navigable, multi-page designed report: an overview page (KPI strip on backplates + trend + breakdown + table) plus per-dimension detail pages with a nav bar. Use dry_run=true first to return the proposal so the user can edit it, then run it for real. Pass accent="#RRGGBB" for their brand color.

pbi_build_designed_page — one designed page

pbi_build_designed_page(name, title, subtitle?, kpis, charts, accent?).

  • kpis: [{"measure": "Table.Measure", "title": "..."}]
  • charts: normal visual specs (positions auto-laid-out on a 12-col grid)

It composes a header band, a KPI strip on rounded backplates, and a chart grid.

Binding grammar (for pbi_add_visual / pbi_build_page)

{ "visual_type": "clusteredBarChart",
  "bindings": { "Category": ["Date.Year"], "Y": ["Sales.Revenue"] },
  "title": "Revenue by Year" }
  • Buckets are per-visual-type — get them from pbi_capabilities(). The Legend role is the Series bucket; combo charts use Y + Y2; donut has no Category.
  • Aggregate a column inline: "Sum(Sales.Amount)", "Average(...)".
  • Measures vs columns are resolved automatically.

Read the full file on GitHub · 74 lines

Changes

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.

  1. 11d ago First seen · 74 lines · 100 tokens per session scan A 5bb43d276209

Subscribe to this mod's changes

build-power-bi-report is a skill published in the GitHub repository rajdeepraoextras-dev/PBI-MCP-Server (0 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 898 once invoked, about $0.0005 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens