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 skills add satnamrsm/https-github.com-sickn33-antigravity-awesome-skills --skill azure-ai-projects-tsgit clone --depth 1 https://github.com/satnamrsm/https-github.com-sickn33-antigravity-awesome-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/azure-ai-projects-ts)<a href="https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/azure-ai-projects-ts"><img src="https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/azure-ai-projects-ts/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/azure-ai-projects-ts"><img src="https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/azure-ai-projects-ts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00045 | $0.01713 |
| Opus 5 | $0.00023 | $0.00856 |
| Sonnet 5 | $0.00009 | $0.00343 |
| Haiku 4.5 | $0.00005 | $0.00171 |
Grade A, and why
azure-ai-projects-ts 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 4d 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.
This is a copy
89% identical to azure-ai-projects-ts — 24 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure AI Projects SDK for TypeScript
High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
Installation
npm install @azure/ai-projects @azure/identity
For tracing:
npm install @azure/monitor-opentelemetry @opentelemetry/api
Environment Variables
AZURE_AI_PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>
MODEL_DEPLOYMENT_NAME=gpt-4o
Authentication
import { AIProjectClient } from "@azure/ai-projects";
import { DefaultAzureCredential } from "@azure/identity";
const client = new AIProjectClient(
process.env.AZURE_AI_PROJECT_ENDPOINT!,
new DefaultAzureCredential()
);
Operation Groups
| Group | Purpose |
|---|---|
client.agents |
Create and manage AI agents |
client.connections |
List connected Azure resources |
client.deployments |
List model deployments |
client.datasets |
Upload and manage datasets |
client.indexes |
Create and manage search indexes |
client.evaluators |
Manage evaluation metrics |
client.memoryStores |
Manage agent memory |
Getting OpenAI Client
const openAIClient = await client.getOpenAIClient();
// Use for responses
const response = await openAIClient.responses.create({
model: "gpt-4o",
input: "What is the capital of France?"
});
// Use for conversations
const conversation = await openAIClient.conversations.create({
items: [{ type: "message", role: "user", content: "Hello!" }]
});
Agents
Create Agent
const agent = await client.agents.createVersion("my-agent", {
kind: "prompt",
model: "gpt-4o",
instructions: "You are a helpful assistant."
});
Agent with Tools
// Code Interpreter
const agent = await client.agents.createVersion("code-agent", {
kind: "prompt",
model: "gpt-4o",
instructions: "You can execute code.",
tools: [{ type: "code_interpreter", container: { type: "auto" } }]
});
// File Search
const agent = await client.agents.createVersion("search-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{ type: "file_search", vector_store_ids: [vectorStoreId] }]
});
// Web Search
const agent = await client.agents.createVersion("web-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{
type: "web_search_preview",
user_location: { type: "approximate", country: "US", city: "Seattle" }
}]
});
// Azure AI Search
const agent = await client.agents.createVersion("aisearch-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{
type: "azure_ai_search",
azure_ai_search: {
indexes: [{
project_connection_id: connectionId,
index_name: "my-index",
query_type: "simple"
}]
}
}]
});
// Function Tool
const agent = await client.agents.createVersion("func-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{
type: "function",
function: {
name: "get_weather",
description: "Get weather for a location",
strict: true,
parameters: {
type: "object",
properties: { location: { type: "string" } },
required: ["location"]
}
}
}]
});
// MCP Tool
const agent = await client.agents.createVersion("mcp-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{
type: "mcp",
server_label: "my-mcp",
server_url: "https://mcp-server.example.com",
require_approval: "always"
}]
});
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.
- 4d ago First seen · 295 lines · 45 tokens per session scan A b4c4874ae3cd
azure-ai-projects-ts is a skill published in the GitHub repository satnamrsm/https-github.com-sickn33-antigravity-awesome-skills (5 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 1,713 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to azure-ai-projects-ts, differing in 24 lines, and is treated as a copy.
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