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.
npx skills add data-goblin/power-bi-agentic-development --skill semantic-modelgit 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/skills/data-goblin/power-bi-agentic-development/semantic-model)<a href="https://agentmods.dev/skills/data-goblin/power-bi-agentic-development/semantic-model"><img src="https://agentmods.dev/badge/skills/data-goblin/power-bi-agentic-development/semantic-model/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/data-goblin/power-bi-agentic-development/semantic-model"><img src="https://agentmods.dev/badge/skills/data-goblin/power-bi-agentic-development/semantic-model.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 | $0.00184 | $0.02682 |
| Opus 5.5 | $0.00074 | $0.01073 |
| Sonnet 5.5 | $0.00037 | $0.00536 |
| Haiku 4.5 | $0.00018 | $0.00268 |
Grade A, and why
semantic-model 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.
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 ships with it
28 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.
- references/aggregations.md 2.5 KB
- references/ai-copilot-readiness.md 8.1 KB
- references/calculation-groups.md 6.6 KB
- references/composite-models.md 2.6 KB
- references/dax-authoring.md 7.2 KB
- references/dimensional-modeling.md 8.5 KB
- references/direct-lake.md 8.8 KB
- references/documentation-and-bpa.md 9.5 KB
- references/hierarchies-cultures.md 6.6 KB
- references/incremental-refresh.md 8.9 KB
- references/metadata-and-organization.md 11 KB
- references/parameters.md 6.1 KB
- references/performance.md 6.9 KB
- references/query-semantic-model.md 3.2 KB
- references/refactoring-renaming.md 2.8 KB
- references/relationships.md 8.9 KB
- references/review-checklist.md 4.7 KB
- references/security.md 11 KB
- references/storage-modes.md 2.6 KB
- references/time-intelligence.md 7.2 KB
- references/vertipaq-optimization.md 6.8 KB
- scripts/edit-ai-instructions-interactive.csx 18 KB
- scripts/edit-ai-schema-interactive.csx 46 KB
- scripts/get_model_info.py 15 KB runs code
- scripts/get_semantic_model_ai_metadata.py 24 KB runs code
- scripts/manage-ai-metadata-interactive.csx 19 KB
- scripts/manage-ai-metadata.csx 22 KB
- scripts/README.md 1.0 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.
- 11d ago Changed · +6 lines 47f749817485
- 15d ago Changed 174c72ef8cd0
- 1mo ago Changed 31aa27cc1986
- 1mo ago First seen · 106 lines · 184 tokens per session scan A 2db3081139a8
semantic-model is a skill published in the GitHub repository data-goblin/power-bi-agentic-development (1,071 stars, last pushed yesterday), licensed GPL-3.0. It adds 184 tokens to every session and 2,682 once invoked, about $0.0007 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.
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