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-pbir-cligit 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-pbir-cli)<a href="https://agentmods.dev/skills/santoshkanthety/powerbi-agent/powerbi-pbir-cli"><img src="https://agentmods.dev/badge/skills/santoshkanthety/powerbi-agent/powerbi-pbir-cli/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-pbir-cli"><img src="https://agentmods.dev/badge/skills/santoshkanthety/powerbi-agent/powerbi-pbir-cli.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 | $0.00167 | $0.08731 |
| Opus 5 | $0.00084 | $0.04365 |
| Sonnet 5 | $0.00033 | $0.01746 |
| Haiku 4.5 | $0.00017 | $0.00873 |
Grade A, and why
powerbi-pbir-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 12d 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 — 864 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Working with Power BI reports using pbir
CLI for exploring, building, managing, formatting Power BI reports. All commands use pbir.
IMPORTANT: ALWAYS use pbir CLI commands to read and modify reports if pbir is available. ONLY Read, Write, or Update JSON files directly as a fallback if pbir fails three times in a row, and you MUST invoke the pbir-format skill from the pbip plugin when working with these files.
IMPORTANT: FIRST Read and adhere to the mental model in MENTAL-MODEL.md.
Learning from Mistakes
You MUST log learnings about the pbir CLI, including avoiding mistakes or gotchas, unexpected results, user expectations and design preferences in the project's memory file, such as:
- Claude Code:
.claude/rules/pbir-cli.md - Cursor:
.cursor/rules/pbir-cli.mdc - GitHub Copilot:
.github/instructions/pbir-cli.instructions.md
You must be concise only log learnings that lead to improved, general performance and NOT very specific examples. This is NOT a change log, and you must treat this learning file as a valuable finite neuronal resource, pruning it, avoiding redundancy and making connections or references to examples.
How to use pbir
General workflow
- Explore the report: The report must be in PBIR format and can be pbip, pbir definition only, or PBIX. Prefer either pbir or pbip
- Identify the model: Reports generally should be "thin reports" connected to a remote model in Power BI or Fabric
- Ask user for clarification: If the user provided a vague or open-ended instruction, consult
references/vague-prompts.mdand useAskUserQuestiontool as many times as needed to understand their expectations and the report context - Formulate a plan: Plan out what changes are necessary. If you need to create new reports, pages, or visuals, draft a wireframe or mock-up for the user to approve first
- Make changes: Search for relevant files and examples in
references/and in related skills likepbi-report-design - Validate changes: Run
pbir validate. You can ask the user permission to view the report by publishing it to a sandbox workspace in Power BI or Fabric withpbir publishand then using tools likechrome-mcpor devtools CLI or playwright to view the report to see if it renders as expected - Ask user for feedback: Inform the user that iteration is expected and push back on user expectations for single-prompt or one-shot workflows
- Record learnings: Document learnings concisely in your rules
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.
- 12d ago First seen · 864 lines · 167 tokens per session scan A faae00de9763
powerbi-pbir-cli is a skill published in the GitHub repository santoshkanthety/powerbi-agent (2 stars, last pushed 12d ago), licensed MIT. It adds 167 tokens to every session and 8,731 once invoked, about $0.0008 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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