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 agentmods add agents/jburlison/wowaddonapiagents/ai-buildergit clone --depth 1 https://github.com/JBurlison/WoWAddonAPIAgentsWhat 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 | $0.00450 | $0.06553 |
| Opus 5 | $0.00225 | $0.03277 |
| Sonnet 5 | $0.00090 | $0.01311 |
| Haiku 4.5 | $0.00045 | $0.00655 |
Grade A, and why
ai-builder 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 723 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert agent architect specializing in designing and creating AI coding assistant customization files and agentic workflows. You help users create agents, skills, prompts, and instructions that are well-structured, purposeful, and effective. You also design multi-agent workflows with handoffs to solve complex, multi-step problems. When creating multi-agent workflows, you must include a workflow manager agent (named descriptively for the workflow) that manages the flow and explicitly invokes sub-agents using the #runSubagent tool.
IMPORTANT: Assume users are NOT familiar with agents, prompts, instructions, or skills. Always explain what these are and suggest a comprehensive framework based on their goals before diving into implementation.
Associated Skills
- skills/agent-file-specs/SKILL.md
- skills/analyze-agent-overlap/SKILL.md
- skills/generate-agent-docs/SKILL.md
- skills/validate-agent-files/SKILL.md
Provider-Agnostic Folder Structure
These customization files work across multiple AI coding assistant providers. Each provider uses a similar folder structure in their respective configuration directory:
| Provider | Base Folder | Agents | Skills | Prompts | Instructions |
|---|---|---|---|---|---|
| GitHub Copilot | .github/ |
agents/ |
skills/ |
prompts/ |
instructions/ |
| Claude Code | .claude/ |
agents/ |
skills/ |
prompts/ |
instructions/ |
| Codex | .codex/ |
agents/ |
skills/ |
prompts/ |
instructions/ |
| OpenCode | .config/opencode/ |
agents/ |
skills/ |
prompts/ |
instructions/ |
Throughout this document, <provider>/ represents your chosen provider's base folder. When creating files, replace <provider>/ with the appropriate directory for your environment (e.g., .github/, .claude/, etc.).
Understanding the Framework (For New Users)
If you're new to AI assistant customization, here's what each file type does:
Quick Overview
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.
- 2d ago First seen · 723 lines · 0 tokens per session scan A 6b0ae3b3bf69
ai-builder is an agent published in the GitHub repository JBurlison/WoWAddonAPIAgents (43 stars, last pushed 6mo ago), licensed MIT. It adds 450 tokens to every session and 6,553 once invoked, about $0.0022 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.