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 santoshkanthety/powerbi-agent --skill powerbi-duckdb-lakehousegit clone --depth 1 https://github.com/santoshkanthety/powerbi-agentWrote 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-duckdb-lakehouse)<a href="https://agentmods.dev/skills/santoshkanthety/powerbi-agent/powerbi-duckdb-lakehouse"><img src="https://agentmods.dev/badge/skills/santoshkanthety/powerbi-agent/powerbi-duckdb-lakehouse/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-duckdb-lakehouse"><img src="https://agentmods.dev/badge/skills/santoshkanthety/powerbi-agent/powerbi-duckdb-lakehouse.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 | $0.00125 | $0.01919 |
| Opus 5.5 | $0.00050 | $0.00768 |
| Sonnet 5.5 | $0.00025 | $0.00384 |
| Haiku 4.5 | $0.00013 | $0.00192 |
Grade A, and why
powerbi-duckdb-lakehouse 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 16d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DuckDB over lakehouse and OneLake data
DuckDB is an in-process SQL engine that reads Parquet and Delta directly. Pointed at OneLake, it answers most of the questions people reach for Spark to answer — row counts, distincts, null rates, min/max dates, a reconciliation against what the semantic model reports — with no cluster, no cold start, and no capacity consumption.
That last point is the reason this skill exists. A freshness check that costs nothing can run on every delivery; one that opens a Spark session and smooths CU forward for 24 hours cannot.
Reach for DuckDB first. Reach for powerbi-spark-livy only when the volume or the
transformation genuinely needs distributed compute.
Where it runs
| Location | Use when |
|---|---|
| Local (your machine, this CLI) | Profiling, reconciliation, quality gates, anything in a delivery loop. Needs OneLake access from the host. |
| Inside a Fabric notebook | Data is large enough that pulling it to the host is the bottleneck, but small enough that Spark is overkill. Still cheaper than a Spark session on the same notebook. |
Setup
pip install duckdb # or: uv pip install duckdb
Extensions, loaded per connection:
import duckdb
con = duckdb.connect()
con.execute("INSTALL azure; LOAD azure;") # ABFSS / OneLake access
con.execute("INSTALL delta; LOAD delta;") # Delta log awareness — not just the Parquet files
INSTALL needs network access once; on an air-gapped build host, pre-seed the extension
directory and skip INSTALL.
Authentication to OneLake
Use the Azure credential chain rather than a key or a SAS token:
con.execute("""
CREATE SECRET onelake (
TYPE azure,
PROVIDER credential_chain,
CHAIN 'cli;env;managed_identity',
ACCOUNT_NAME 'onelake'
);
""")
That picks up az login locally and a managed identity in a hosted runtime. Confirm the exact
clause names against the DuckDB azure extension docs for your installed version — the secret
syntax has changed across DuckDB releases and a wrong clause fails with a parse error rather
than an auth error.
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.
- 16d ago First seen · 186 lines · 0 tokens per session scan A 846262d0de70
powerbi-duckdb-lakehouse is a skill published in the GitHub repository santoshkanthety/powerbi-agent (3 stars, last pushed 17d ago), licensed MIT. It adds 125 tokens to every session and 1,919 once invoked, about $0.0005 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 2026-10-07.
Other skills, from other repositories
bi-sql-knowledge
Use Seshat's public SQL knowledge for source grain, joins, aggregation, validation, reconciliation, and transformation reasoning without executing a database.
Data Retention Schedule Review
Use when reviewing a draft or existing data retention schedule to inventory data categories against stated purposes, collect retention-period facts, flag legal-hold interactions, and surface orphaned-data and vendor-coverage gaps for attorney review.
sql_optimizer
Skill "sql_optimizer" from G-Schumacher44/strata-oss, covering skill: sqloptimizer, trigger, inputs, allowed tools and forbidden.
sql_builder
Skill "sql_builder" from G-Schumacher44/strata-oss, covering skill: sqlbuilder, trigger, inputs, allowed tools and forbidden.
bq_query_guardrail
Skill "bq_query_guardrail" from G-Schumacher44/strata-oss, covering skill: bqqueryguardrail, trigger, inputs, allowed tools and forbidden.
bq_schema_probe
Skill "bq_schema_probe" from G-Schumacher44/strata-oss, covering skill: bqschemaprobe, trigger, inputs, allowed tools and forbidden.