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 agentmods add skills/data-goblin/power-bi-agentic-development/semantic-modelnpx 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.svg" alt="Measured on agentmods" 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 | $0.00184 | $0.02468 |
| Opus 5 | $0.00092 | $0.01234 |
| Sonnet 5 | $0.00037 | $0.00494 |
| Haiku 4.5 | $0.00018 | $0.00247 |
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 4d 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 10 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 8.8 KB
- references/review-checklist.md 4.7 KB
- references/security.md 11 KB
- references/storage-modes.md 2.6 KB
- references/time-intelligence.md 7.1 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.
- 4d 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 (890 stars, last pushed 26d ago), licensed GPL-3.0. It adds 184 tokens to every session and 2,468 once invoked, about $0.0009 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 2026-08-30.
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