Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/santoshkanthety/powerbi-agentnpx agentmods add skills/santoshkanthety/powerbi-agent/powerbi-refresh-semantic-modelWrote 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/santoshkanthety/powerbi-agent/powerbi-refresh-semantic-model)<a href="https://agentmods.dev/skills/santoshkanthety/powerbi-agent/powerbi-refresh-semantic-model"><img src="https://agentmods.dev/badge/skills/santoshkanthety/powerbi-agent/powerbi-refresh-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/santoshkanthety/powerbi-agent/powerbi-refresh-semantic-model"><img src="https://agentmods.dev/badge/skills/santoshkanthety/powerbi-agent/powerbi-refresh-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 | $0.00044 | $0.03230 |
| Opus 5 | $0.00022 | $0.01615 |
| Sonnet 5 | $0.00009 | $0.00646 |
| Haiku 4.5 | $0.00004 | $0.00323 |
Grade A, and why
powerbi-refresh-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.
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refreshing Semantic Models
Trigger, monitor, validate, and troubleshoot semantic model refreshes via the Power BI Enhanced Refresh REST API and Fabric CLI.
Core Concepts
A semantic model refresh reloads data from upstream sources and/or recalculates dependent objects (calculated columns, calculated tables, measures). The scope can be the entire model, specific tables, or individual partitions.
Six refresh types are available via the REST API; a seventh (add) is TMSL-only:
| Type | Reloads Data | Recalculates | Primary Use Case | API |
|---|---|---|---|---|
full |
Yes | Yes | Complete reload from scratch | REST |
automatic |
Conditional | Conditional | Smart refresh; process only if needed | REST |
dataOnly |
Yes | No* | Reload data; clear dependents | REST |
calculate |
No | Yes | Recalculate without reloading data | REST |
clearValues |
No | No | Empty data from objects | REST |
defragment |
No | No | Clean up column dictionaries | REST |
add |
Append | Yes | Append rows to a partition | TMSL |
*dataOnly clears dependent objects (calculated columns, calculated tables) but does not recalculate them. Follow with a calculate refresh to restore them.
For detailed descriptions, behavior with incremental refresh policies, commit modes, and parallelism options, consult references/refresh-types.md.
Refresh Workflow
Step 1: Resolve IDs
Extract the workspace and model GUIDs needed for API calls:
WS_ID=$(fab get "WorkspaceName.Workspace" -q "id" | tr -d '"')
MODEL_ID=$(fab get "WorkspaceName.Workspace/ModelName.SemanticModel" -q "id" | tr -d '"')
Step 2: Query Baseline Data (Pre-Refresh Validation)
Before triggering the refresh, capture a baseline snapshot to later verify that data actually changed. Execute a DAX query against the model to get current row counts or max dates:
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 First seen · 305 lines · 44 tokens per session scan A b8e6d3c40cee
powerbi-refresh-semantic-model is a skill published in the GitHub repository santoshkanthety/powerbi-agent (2 stars, last pushed 12d ago), licensed MIT. It adds 44 tokens to every session and 3,230 once invoked, about $0.0002 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.
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