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 skills/emeaappgbb/agentic-shell-python/ag-ui-integrationnpx skills add EmeaAppGbb/agentic-shell-python --skill ag-ui-integrationgit clone --depth 1 https://github.com/EmeaAppGbb/agentic-shell-pythonWhat 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 | $0.00043 | $0.01622 |
| Opus 5 | $0.00022 | $0.00811 |
| Sonnet 5 | $0.00009 | $0.00324 |
| Haiku 4.5 | $0.00004 | $0.00162 |
Grade A, and why
ag-ui-integration 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 yesterday.
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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AG-UI Integration
This skill helps you integrate the AG-UI (Agent-UI) protocol to connect a frontend application with an AI agent backend using CopilotKit.
When to Use
- Connecting a React/Next.js frontend to an AI agent backend
- Adding a chat sidebar or conversational UI to your application
- Implementing the AG-UI protocol for agent-frontend communication
- Building a BFF (Backend-for-Frontend) pattern with AI agents
Architecture
Browser → Next.js (/api/copilotkit) → Python Backend (/) → Azure OpenAI
└─ CopilotKit Runtime └─ Agent Framework
The AG-UI protocol enables:
- Streaming responses from the agent
- Tool call visualization
- Message history management
- State synchronization
Step-by-Step Instructions
Backend Setup
First, ensure your backend implements the AG-UI protocol. See the ms-agent-framework skill for Python/FastAPI setup.
The backend should expose an endpoint (e.g., POST /) that:
- Accepts AG-UI protocol requests
- Returns Server-Sent Events (SSE) for streaming
Frontend Setup
1. Install Dependencies
cd src/agentic-ui
npm install @copilotkit/react-core @copilotkit/react-ui @copilotkit/runtime @ag-ui/client
Or add to package.json:
{
"dependencies": {
"@ag-ui/client": "^0.0.41",
"@copilotkit/react-core": "^1.10.6",
"@copilotkit/react-ui": "^1.10.6",
"@copilotkit/runtime": "^1.10.6",
"next": "16.0.3",
"react": "19.2.0",
"react-dom": "19.2.0"
}
}
2. Create the API Route (BFF)
Create app/api/copilotkit/route.ts:
import {
CopilotRuntime,
ExperimentalEmptyAdapter,
copilotRuntimeNextJSAppRouterEndpoint,
} from "@copilotkit/runtime";
import { HttpAgent } from "@ag-ui/client";
import { NextRequest } from "next/server";
// Use the empty adapter since we're routing to a single agent
const serviceAdapter = new ExperimentalEmptyAdapter();
// Create the CopilotRuntime with AG-UI HttpAgent
const runtime = new CopilotRuntime({
agents: {
my_agent: new HttpAgent({
url: process.env.AGENT_API_URL || "http://localhost:8080"
}),
},
});
// Handle POST requests
export const POST = async (req: NextRequest) => {
const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({
runtime,
serviceAdapter,
endpoint: "/api/copilotkit",
});
return handleRequest(req);
};
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 283 lines · 43 tokens per session scan A 1c75a121f0b2
ag-ui-integration is a skill published in the GitHub repository EmeaAppGbb/agentic-shell-python (2 stars, last pushed 6mo ago), licensed MIT. It adds 43 tokens to every session and 1,622 once invoked, about $0.0002 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 2026-08-31.
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