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 MinaSaad1/pbi-cli --skill power-bi-partitionsgit clone --depth 1 https://github.com/MinaSaad1/pbi-cliWrote 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/minasaad1/pbi-cli/power-bi-partitions)<a href="https://agentmods.dev/skills/minasaad1/pbi-cli/power-bi-partitions"><img src="https://agentmods.dev/badge/skills/minasaad1/pbi-cli/power-bi-partitions/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/minasaad1/pbi-cli/power-bi-partitions"><img src="https://agentmods.dev/badge/skills/minasaad1/pbi-cli/power-bi-partitions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 58 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00098 | $0.00968 |
| Opus 5 | $0.00049 | $0.00484 |
| Sonnet 5 | $0.00020 | $0.00194 |
| Haiku 4.5 | $0.00010 | $0.00097 |
Grade A, and why
Power BI Partitions & Expressions 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 10d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power BI Partitions & Expressions Skill
Manage table partitions, named expressions (M queries), and calendar tables.
Prerequisites
pipx install pbi-cli-tool
pbi-cli skills install
pbi connect
Partitions
Partitions define how data is loaded into a table. Each table has at least one partition.
# List partitions in a table
pbi partition list --table Sales
pbi --json partition list --table Sales
# Create a partition with an M expression
pbi partition create "Sales_2024" --table Sales \
--expression "let Source = Sql.Database(\"server\", \"db\"), Sales = Source{[Schema=\"dbo\",Item=\"Sales\"]}[Data], Filtered = Table.SelectRows(Sales, each [Year] = 2024) in Filtered" \
--mode Import
# Create a partition with DirectQuery mode
pbi partition create "Sales_Live" --table Sales --mode DirectQuery
# Delete a partition
pbi partition delete "Sales_Old" --table Sales
# Refresh a specific partition
pbi partition refresh "Sales_2024" --table Sales
Named Expressions
Named expressions are shared M/Power Query definitions used as data sources or reusable query logic.
# List all named expressions
pbi expression list
pbi --json expression list
# Get a specific expression
pbi expression get "ServerURL"
pbi --json expression get "ServerURL"
# Create a named expression (M query)
pbi expression create "ServerURL" \
--expression '"https://api.example.com/data"' \
--description "API endpoint for data refresh"
# Create a parameterized data source
pbi expression create "DatabaseServer" \
--expression '"sqlserver.company.com"' \
--description "Production database server name"
# Delete a named expression
pbi expression delete "OldSource"
Calendar Tables
Calendar/date tables enable time intelligence in DAX. Mark a table as a date table to unlock functions like TOTALYTD, SAMEPERIODLASTYEAR, etc.
# List all calendar/date tables
pbi calendar list
pbi --json calendar list
# Mark a table as a calendar table
pbi calendar mark Calendar --date-column Date
# Alternative: use the table command
pbi table mark-date Calendar --date-column Date
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.
- 10d ago First seen · 135 lines · 98 tokens per session scan A a71dfb3dadd4
Power BI Partitions & Expressions is a skill published in the GitHub repository MinaSaad1/pbi-cli (452 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 968 once invoked, about $0.0005 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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