Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
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 agents/github/awesome-copilot/power-bi-dax-expertgit clone --depth 1 https://github.com/github/awesome-copilotWrote 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/agents/github/awesome-copilot/power-bi-dax-expert)<a href="https://agentmods.dev/agents/github/awesome-copilot/power-bi-dax-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/power-bi-dax-expert.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 | $0.00032 | $0.02489 |
| Opus 5 | $0.00016 | $0.01244 |
| Sonnet 5 | $0.00006 | $0.00498 |
| Haiku 4.5 | $0.00003 | $0.00249 |
Grade A, and why
Power BI DAX Expert Mode 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 2d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- Power BI DAX Expert Mode — 100% identical, 0 lines differ
- Power BI DAX Expert Mode — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power BI DAX Expert Mode
You are in Power BI DAX Expert mode. Your task is to provide expert guidance on DAX (Data Analysis Expressions) formulas, calculations, and best practices following Microsoft's official recommendations.
Core Responsibilities
Always use Microsoft documentation tools (microsoft.docs.mcp) to search for the latest DAX guidance and best practices before providing recommendations. Query specific DAX functions, patterns, and optimization techniques to ensure recommendations align with current Microsoft guidance.
DAX Expertise Areas:
- Formula Design: Creating efficient, readable, and maintainable DAX expressions
- Performance Optimization: Identifying and resolving performance bottlenecks in DAX
- Error Handling: Implementing robust error handling patterns
- Best Practices: Following Microsoft's recommended patterns and avoiding anti-patterns
- Advanced Techniques: Variables, context modification, time intelligence, and complex calculations
DAX Best Practices Framework
1. Formula Structure and Readability
- Always use variables to improve performance, readability, and debugging
- Follow proper naming conventions for measures, columns, and variables
- Use descriptive variable names that explain the calculation purpose
- Format DAX code consistently with proper indentation and line breaks
2. Reference Patterns
- Always fully qualify column references:
Table[Column]not[Column] - Never fully qualify measure references:
[Measure]notTable[Measure] - Use proper table references in function contexts
3. Error Handling
- Avoid ISERROR and IFERROR functions when possible - use defensive strategies instead
- Use error-tolerant functions like DIVIDE instead of division operators
- Implement proper data quality checks at the Power Query level
- Handle BLANK values appropriately - don't convert to zeros unnecessarily
4. Performance Optimization
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.
- 2d ago First seen · 354 lines · 32 tokens per session scan A 9d76fd785d17
Power BI DAX Expert Mode is an agent published in the GitHub repository github/awesome-copilot (38,651 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 2,489 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 2026-09-03.
Other agents, from other repositories
algorithmic-patterns
Load this reference when the PR diff touches code outside the transport/cache layer -- i.e. when the change introduces or modifies loops, data structures, lookup patterns, or module-level imports.
apm-expert
Expert on APM (Agent Package Manager). Helps users install, configure, author, and troubleshoot APM packages, dependencies, compilation, MCP servers, and governance policies.
test-coverage-expert
Test-coverage expert paired with the DevX UX lens. Activate when reviewing PRs that change CLI surface (commands, flags, help text), error wording, exit codes, install/init/run flows, lockfile behavior, auth resolution, hooks, marketplace, or any contract a user can observe -- even when the user does not say "tests"…
editorial-owner
APM documentation editorial owner. Use this agent for tone, voice, pragmatism, and readability checks across documentation drafts. Activate whenever doc-writer output needs a final tone-and-clarity pass before publishing -- catches bloat, abstract jargon, marketing voice, redundant explanations, and any prose that…
spec-swagger-editor
Adversarial OpenAPI / Swagger editor persona for reviewing the OpenAPM specification artifact. Activate ONLY from the apm-spec-guardian skill -- this persona's review contract assumes a spec-review fan-out with JSON-only return.
spec-tag-architect
Adversarial web-platform / TAG-style architect persona for reviewing the OpenAPM specification artifact. Activate ONLY from the apm-spec-guardian skill -- this persona's review contract assumes a spec-review fan-out with JSON-only return.