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 wardawgmalvicious/agent-config --skill pbid-tom-livegit clone --depth 1 https://github.com/wardawgmalvicious/agent-configWrote 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/wardawgmalvicious/agent-config/pbid-tom-live)<a href="https://agentmods.dev/skills/wardawgmalvicious/agent-config/pbid-tom-live"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/pbid-tom-live/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/wardawgmalvicious/agent-config/pbid-tom-live"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/pbid-tom-live.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 | $0.00249 | $0.04832 |
| Opus 5 | $0.00125 | $0.02416 |
| Sonnet 5 | $0.00050 | $0.00966 |
| Haiku 4.5 | $0.00025 | $0.00483 |
Grade A, and why
pbid-tom-live 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 yesterday.
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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power BI Desktop — Live TOM / ADOMD Operations
Local Analysis Services proxy inside Power BI Desktop. Enables TOM (metadata) and ADOMD.NET (DAX query) connections from PowerShell. Does not work for thin reports, Direct Lake models, or remote XMLA endpoints. For those use a remote XMLA / Power BI REST approach — see fabric-tmdl for semantic-model authoring and fabric-tmdl-api for Fabric semantic-model definition REST call patterns (createItemWithDefinition, updateDefinition).
Note (April 2026): Direct Lake on OneLake gained calculated-column / calculated-table preview support. The local msmdsrv proxy still does not bind to Direct Lake models — author and edit those columns through the remote XMLA endpoint (or the Desktop UI) and use TOM there. Local TOM / ADOMD scripting in this skill remains scoped to Import / DirectQuery models.
Prerequisites
| Requirement | Notes |
|---|---|
| Power BI Desktop | Open with a non-thin model loaded |
PowerShell + nuget |
winget install Microsoft.NuGet |
Microsoft.AnalysisServices.retail.amd64 |
TOM metadata DLLs |
Microsoft.AnalysisServices.AdomdClient.retail.amd64 |
DAX query DLLs |
Packages extract to $env:TEMP\tom_nuget\...\lib\net45\. Load via Add-Type -Path. If TOM calls fail with missing type / compatibility level errors, swap to the newer Microsoft.AnalysisServices (.NET 8) package.
Discovering Running PBID Instances
Each open .pbix/.pbip spawns one msmdsrv.exe on a random localhost port. When multiple are running, connect to each, read $server.Databases[0].Name, and ask the user which to target.
| Method | Works On | Command |
|---|---|---|
| Port file (non-Store) | Desktop installer | Get-Content "$env:LOCALAPPDATA\Microsoft\Power BI Desktop\AnalysisServicesWorkspaces\*\Data\msmdsrv.port.txt" |
| Port file (Store) | MS Store install | Get-Content "$env:LOCALAPPDATA\Packages\Microsoft.MicrosoftPowerBIDesktop_*\LocalState\AnalysisServicesWorkspaces\*\Data\msmdsrv.port.txt" |
| netstat | Any | Filter netstat -ano LISTENING rows by (Get-Process msmdsrv).Id |
What ships with it
2 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.
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.
- yesterday Changed 74022f2017aa
- 6d ago Changed · +3 lines 39e4da4396a1
- 10d ago First seen · 286 lines · 249 tokens per session scan A 4887ba030bf4
pbid-tom-live is a skill published in the GitHub repository wardawgmalvicious/agent-config (0 stars, last pushed today), licensed MIT. It adds 249 tokens to every session and 4,832 once invoked, about $0.0012 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.
Other skills, from other repositories
drawio
WORKFLOW SKILL — Generate Azure architecture diagrams in .drawio via simonkurtz-MSFT MCP server (full Azure icon set, batch creation, transactional mode). Covers architecture, dependency, runtime-flow, and as-built diagrams. WHEN: 'draw.io diagram', 'Azure architecture diagram', 'as-built diagram', 'runtime flow…
azure-bicep-patterns
UTILITY SKILL — Reusable Azure Bicep patterns: hub-spoke, private endpoints, diagnostics, AVM composition. WHEN: "hub-spoke Bicep", "private endpoint module", "diagnostic settings", "AVM Bicep composition". USE FOR: Bicep template design, hub-spoke networking, private endpoint patterns, AVM modules. DO NOT USE FOR…
vendor-prompting
ANALYSIS SKILL — Audit-grade reference for Anthropic Claude and OpenAI GPT-5.6 prompting best practices. WHEN: "claude prompting", "gpt-5.6 prompting", "audit agent", "review prompt", "vendor best practices", "anthropic best practices", "openai prompting". DO NOT USE FOR: routine prompt edits where rules are already…
copilot-customization
Authoritative reference for VS Code Copilot customization mechanisms: instructions, prompt files, custom agents, agent skills, MCP servers, hooks, and plugins. Use when deciding which customization type to use, creating new .instructions.md/.prompt.md/.agent.md/SKILL.md/mcp.json files from scratch, or debugging why a…
deploy-model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai…
microsoft-skill-creator
Create agent skills for Microsoft technologies using Learn MCP tools. USE FOR: generating skills that teach agents about Azure services, .NET libraries, Microsoft 365 APIs, VS Code extensions, Bicep modules, or any Microsoft technology. DO NOT USE FOR: general skill scaffolding without Microsoft tech focus (use…