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/fabric-clinpx skills add data-goblin/power-bi-agentic-development --skill fabric-cligit 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/fabric-cli)<a href="https://agentmods.dev/skills/data-goblin/power-bi-agentic-development/fabric-cli"><img src="https://agentmods.dev/badge/skills/data-goblin/power-bi-agentic-development/fabric-cli.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 | $0.00052 | $0.09781 |
| Opus 5 | $0.00026 | $0.04890 |
| Sonnet 5 | $0.00010 | $0.01956 |
| Haiku 4.5 | $0.00005 | $0.00978 |
Grade A, and why
fabric-cli 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
39 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.
- examples/pyspark-notebook.ipynb 2.6 KB
- examples/python-notebook.ipynb 5.7 KB
- references/admin.md 21 KB
- references/connections.md 4.3 KB
- references/dashboards.md 6.4 KB
- references/dataflows.md 13 KB
- references/deployment-pipelines.md 34 KB
- references/fab-api.md 6.2 KB
- references/fab-vs-az-cli.md 19 KB
- references/folders.md 6.8 KB
- references/gateways.md 16 KB
- references/import-download-deploy.md 13 KB
- references/lakehouses.md 6.4 KB
- references/notebooks.md 25 KB
- references/org-apps.md 7.6 KB
- references/paginated-reports.md 16 KB
- references/permissions.md 23 KB
- references/querying-data.md 31 KB
- references/reference.md 37 KB
- references/reports.md 6.0 KB
- references/scorecards.md 14 KB
- references/semantic-models.md 17 KB
- references/service-principals.md 9.3 KB
- references/sql-databases.md 2.5 KB
- references/tags.md 6.8 KB
- references/warehouses.md 2.5 KB
- references/workspaces.md 30 KB
- scripts/create_direct_lake_model.py 7.5 KB runs code
- scripts/deploy_notebook.py 12 KB runs code
- scripts/download_workspace.py 12 KB runs code
- scripts/execute_dax.py 8.1 KB runs code
- scripts/get_semantic_model_ai_metadata.py 24 KB runs code
- scripts/get-downstream-reports.py 5.6 KB runs code
- scripts/query_lakehouse_duckdb.py 9.5 KB runs code
- scripts/query_sql_endpoint.py 10 KB runs code
- scripts/query_sql_mcp.py 9.2 KB runs code
- scripts/README.md 8.6 KB
- scripts/run_notebook_checked.py 17 KB runs code
- scripts/search_across_workspaces.py 40 KB runs code
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 · 617 lines · 52 tokens per session scan A dc9675993846
fabric-cli 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 52 tokens to every session and 9,781 once invoked, about $0.0003 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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