Add ai-redteam-wordlists high-yield seed dataset provider

I maintain [`[c4tzzz/ai-redteam-wordlists](https://github.com/c4tzzz/ai-redteam-wordlists)`](https://github.com/c4tzzz/ai-redteam-wordlists), an MIT-licensed collection of prompts for authorized AI red-team testing.

I would like to propose adding the following curated subset to PyRIT:

[`[AI-LLM-Latest-Model-Verified-High-Yield.txt](https://github.com/c4tzzz/ai-redteam-wordlists/blob/main/seclists/AI-LLM-Latest-Model-Verified-High-Yield.txt)`](https://github.com/c4tzzz/ai-redteam-wordlists/blob/main/seclists/AI-LLM-Latest-Model-Verified-High-Yield.txt)

It contains 28 validated prompts covering synthetic secret leakage, RAG exposure, redaction failures, MCP, tool use, multi-turn scenarios, and structured-output constraints.

Each entry could be represented as a `SeedPrompt`, with placeholders such as `{{CANARY}}` and `{{PRIVATE_TOKEN}}` replaced at runtime.

Would this dataset be relevant to PyRIT? I can provide the loader, metadata, tests, and documentation.

Start by reviewing the linked 28-prompt dataset and confirming with maintainers that it belongs in PyRIT; no repository files or tests are named. If accepted, trace how SeedPrompt providers are represented, then add the loader, metadata, tests, and documentation described in the issue. Done means the curated prompts load with runtime placeholders and the integration is covered.

Written by the indexing model from the issue text.