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 rajdeepraoextras-dev/PBI-MCP-Server --skill build-power-bi-reportgit clone --depth 1 https://github.com/rajdeepraoextras-dev/PBI-MCP-ServerWrote 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/rajdeepraoextras-dev/pbi-mcp-server/build-power-bi-report)<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.
<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>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 | $0.00100 | $0.00898 |
| Opus 5.5 | $0.00040 | $0.00359 |
| Sonnet 5.5 | $0.00020 | $0.00180 |
| Haiku 4.5 | $0.00010 | $0.00090 |
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 2mo 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 — 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 theSeriesbucket; combo charts useY+Y2; donut has noCategory. - Aggregate a column inline:
"Sum(Sales.Amount)","Average(...)". - Measures vs columns are resolved automatically.
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.
- 2mo ago First seen · 74 lines · 100 tokens per session scan A 5bb43d276209
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 $0.0004 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 2026-08-31.
build-power-bi-report compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| build-power-bi-reportrajdeepraoextras-dev/PBI-MCP-Server | Skill | 0 | 1mo ago | MIT | A | 100 | Claude Code, Codex |
| opik-diagnosecomet-ml/opik-mcp | Skill | 225 | 9d ago | Apache-2.0 | A | 187 | Claude Code |
| cortex-explore-memorycdeust/Cortex | Skill | 76 | yesterday | MIT | A | 91 | Claude Code |
| qmclaw-workbenchxi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 124 | Codex |
| quantum-fermi-hubbard-vqexi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 67 | Claude Code, Codex |
| quantum-groverxi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 62 | Claude Code, Codex |
| guppy-programsxi-zhao/OpenQuantum | Skill | 71 | yesterday | MIT | A | 48 | Claude Code, Codex |