audit-agent-background-llm-ops

Manage the background Audit Agent, Inference Gateway, and ollama host supervisor for LLM operations.

3|1|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Ilenburg1993/chatgpt-docker-puppeteer --skill audit-agent-background-llm-ops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-agent-background-llm-ops
Source: https://github.com/Ilenburg1993/chatgpt-docker-puppeteer/tree/main/.github/skills/audit-agent-background-llm-ops
Command: npx skills add https://github.com/Ilenburg1993/chatgpt-docker-puppeteer --skill audit-agent-background-llm-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes agents (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the implementation and operation of the background Audit Agent, ensuring efficient LLM engineering, policy enforcement, and resource management.

Core Features & Use Cases

  • LLM Operations Management: Oversee the Audit Agent, Inference Gateway, and ollama host supervisor.
  • Policy and Budget Control: Implement and manage inference-gateway policies, job pipelines, and CPU/budget controls.
  • Use Case: When a specific LLM consumer is exceeding its CPU budget, use this Skill to diagnose the issue via clientTag policies and apply surgical corrections to prevent service degradation.

Quick Start

Use the audit-agent-background-llm-ops skill to create the audit-agent in PM2 and implement the Inference Gateway with policies by clientTag.

Frequently Asked Questions about audit-agent-background-llm-ops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce inference gateway policies for background LLM ops?

To enforce inference gateway policies for background LLM ops, this Skill manages the Audit Agent and requires explicit clientTags, budgets, and timeouts for all inference calls. It validates patches via dry-run before applying them to control resource allocation.

Why does my LLM consumer exceed its CPU budget and how can I apply corrections?

When a specific LLM consumer exceeds its CPU budget, this Skill diagnoses the issue using clientTag policies. It allows you to apply surgical corrections to the job pipeline, preventing service degradation and controlling resource allocations.

How do I supervise an ollama host and manage job pipelines for LLM operations?

You can supervise an ollama host and manage job pipelines by deploying the audit-agent through PM2. This Skill implements the Inference Gateway with policies by clientTag to oversee the host supervisor and control CPU and budget allocations.

Can I validate inference gateway patches before applying them to the ollama host?

Yes, you can validate inference gateway patches before applying them. The Skill performs dry-run validation before applying any patches to the ollama host supervisor, ensuring safe policy enforcement and resource management.

What clientTags and budgets are required to control resource allocations in LLM ops?

Explicit clientTags, budgets, and timeouts are required for all inference calls to control resource allocations in LLM ops. The Skill enforces these inference-gateway policies to manage the background Audit Agent and prevent service degradation.