Power BI Agentic Development is a marketplace of skills, plugins, agents, commands, and an MCP server that help coding agents work with Power BI and Microsoft Fabric. It is for creating and managing semantic models, DAX, TMDL, reports, dashboards, workspaces, and deployment processes, with the catalogue entries providing these specialized agent resources.
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.
git clone --depth 1 https://github.com/data-goblin/power-bi-agentic-developmentWrote 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/agents/data-goblin/power-bi-agentic-development/semantic-model-auditor)<a href="https://agentmods.dev/agents/data-goblin/power-bi-agentic-development/semantic-model-auditor"><img src="https://agentmods.dev/badge/agents/data-goblin/power-bi-agentic-development/semantic-model-auditor/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/agents/data-goblin/power-bi-agentic-development/semantic-model-auditor"><img src="https://agentmods.dev/badge/agents/data-goblin/power-bi-agentic-development/semantic-model-auditor.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 | $0.00045 | $0.03125 |
| Opus 5.5 | $0.00018 | $0.01250 |
| Sonnet 5.5 | $0.00009 | $0.00625 |
| Haiku 4.5 | $0.00005 | $0.00313 |
Grade A, and why
semantic-model-auditor 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 13d 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 13d ago Changed c7528be3cc87
- 1mo ago First seen · 352 lines · 45 tokens per session scan A f68a0f32ca83
semantic-model-auditor is an agent published in the GitHub repository data-goblin/power-bi-agentic-development (1,065 stars, last pushed 7d ago), licensed GPL-3.0. It adds 45 tokens to every session and 3,125 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
security-reviewer
Security scan specialist. Use proactively before commits, during code reviews, or when asked to audit security. Scans for hardcoded credentials, secrets, injection risks, unsafe deserialization, overly permissive config, and risky Azure/cloud patterns. Returns findings with severity and file:line refs; does not modify…
lens
Turns raw data into actionable decisions — dashboards, metric definitions, SQL analytics, funnel and cohort analysis across BI platforms. Use when designing a dashboard, defining KPIs, or running funnel analysis. Trigger with "design a dashboard", "analyze our funnel".
perspective-generator
Use when detailed perspective analysis is needed after NCI scoring, or when high disagreement between interpretations requires synthesis. Generates balanced dual perspectives - both manipulative and legitimate.
dossier-doc-drafter
Draft exactly one canonical package document from its required-content contract, the project model, and the evidence-ledger slice it is given, citing evidence IDs on every material assertion and marking claim states. Use when Phase 4 drafts internal documents or Phase 5 derives public documents, dispatched once per…
error-handler-inspector
Inspect code for unhandled errors, missing edge cases, silent failures, and exception handling gaps. Use when dispatching the error-handling facet of a parallel review. Do not use for a full-scope code review. Return P1/P2/P3 findings with file:line citations.
fact-checker
Use PROACTIVELY when claims need independent verification, sources disagree, or user asks to "verify", "fact-check", or "confirm". Resolves contradictions across sources.