plurai-simulation
claudecodexSet up Plurai simulation for any AI agent.
35 skills · 1 MCP server · hooks
Create fine-tuned LLM-as-a-judge evaluators on the Plurai platform
Plugin evals from marketplace plurai-plugins in plurai-ai/plurai-plugins. Commands read from the repo's manifest — yesterday.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
evalUse when the user wants to build an LLM-as-a-judge, evaluator, classifier, or guardrail for their AI application. Triggers on: evaluating AI outputs, judging response quality, classifying text, building guardrails, detecting hallucinations, checking grounding, prompt adherence, safety checks, conten
plurairuns: uv run --project ${CLAUDE_PLUGIN_ROOT} python -m evals_mcp
Set up Plurai simulation for any AI agent.
35 skills · 1 MCP server · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
RuVLLM local inference with chat formatting, MicroLoRA fine-tuning, and SONA adaptation
3 skills · 1 command · 1 agent
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Install the "AAS AI Product & Evaluation Ops" workflow plugin from Agentic Awesome Skills.
13 skills
Build, train, evaluate, and use open source AI models, datasets, and spaces.
26 skills · 1 MCP server
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
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