.NET MAUI is a C# and XAML framework for building native mobile and desktop applications from one shared codebase. Developers use it to create apps for Android, iOS, iPadOS, macOS, and Windows. The catalogue entries provide skills, instructions, and agents for working with .NET MAUI.
Borrowing it
Nothing to install: this file belongs to dotnet/maui. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dotnet/maui/main/.github/skills/otel-queries/SKILL.mdgit clone --depth 1 https://github.com/dotnet/mauiWrote 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/dotnet/maui/otel-queries)<a href="https://agentmods.dev/skills/dotnet/maui/otel-queries"><img src="https://agentmods.dev/badge/skills/dotnet/maui/otel-queries.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 5.1 | $0.00023 | $0.00149 |
| Opus 5 | $0.00012 | $0.00075 |
| Sonnet 5 | $0.00005 | $0.00030 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
otel-queries 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 6d 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.
What it actually says
OTEL Queries
Use this skill when investigating Copilot or agentic workflow OpenTelemetry output, token usage, model usage, execution timing, or exported COPILOT_OTEL_FILE_EXPORTER_PATH JSONL files.
Guidance
- Prefer local JSONL inspection when an OTEL export file is available.
- Summarize token counts by model, agent step, and request type.
- Treat missing or malformed OTEL records as diagnostic data, not workflow failure by default.
- Do not require Android/product validation for workflow-only telemetry analysis changes.
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.
- 6d ago First seen · 17 lines · 23 tokens per session scan A 51673b8cc5fa
otel-queries is a skill published in the GitHub repository dotnet/maui (23,319 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 149 once invoked, about $0.0001 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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