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 STELIORD/agentic-awesome-skills --skill azure-ai-projects-javagit clone --depth 1 https://github.com/STELIORD/agentic-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/steliord/agentic-awesome-skills/azure-ai-projects-java)<a href="https://agentmods.dev/skills/steliord/agentic-awesome-skills/azure-ai-projects-java"><img src="https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/azure-ai-projects-java/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/steliord/agentic-awesome-skills/azure-ai-projects-java"><img src="https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/azure-ai-projects-java.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 | $0.00033 | $0.01089 |
| Opus 5 | $0.00016 | $0.00544 |
| Sonnet 5 | $0.00007 | $0.00218 |
| Haiku 4.5 | $0.00003 | $0.00109 |
Grade A, and why
azure-ai-projects-java 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 7d 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-java — 35 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure AI Projects SDK for Java
High-level SDK for Azure AI Foundry project management with access to connections, datasets, indexes, and evaluations.
Installation
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-projects</artifactId>
<version>1.0.0-beta.1</version>
</dependency>
Environment Variables
PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>
Authentication
import com.azure.ai.projects.AIProjectClientBuilder;
import com.azure.identity.DefaultAzureCredentialBuilder;
AIProjectClientBuilder builder = new AIProjectClientBuilder()
.endpoint(System.getenv("PROJECT_ENDPOINT"))
.credential(new DefaultAzureCredentialBuilder().build());
Client Hierarchy
The SDK provides multiple sub-clients for different operations:
| Client | Purpose |
|---|---|
ConnectionsClient |
Enumerate connected Azure resources |
DatasetsClient |
Upload documents and manage datasets |
DeploymentsClient |
Enumerate AI model deployments |
IndexesClient |
Create and manage search indexes |
EvaluationsClient |
Run AI model evaluations |
EvaluatorsClient |
Manage evaluator configurations |
SchedulesClient |
Manage scheduled operations |
// Build sub-clients from builder
ConnectionsClient connectionsClient = builder.buildConnectionsClient();
DatasetsClient datasetsClient = builder.buildDatasetsClient();
DeploymentsClient deploymentsClient = builder.buildDeploymentsClient();
IndexesClient indexesClient = builder.buildIndexesClient();
EvaluationsClient evaluationsClient = builder.buildEvaluationsClient();
Core Operations
List Connections
import com.azure.ai.projects.models.Connection;
import com.azure.core.http.rest.PagedIterable;
PagedIterable<Connection> connections = connectionsClient.listConnections();
for (Connection connection : connections) {
System.out.println("Name: " + connection.getName());
System.out.println("Type: " + connection.getType());
System.out.println("Credential Type: " + connection.getCredentials().getType());
}
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.
- 7d ago First seen · 161 lines · 33 tokens per session scan A 3fb50843392a
azure-ai-projects-java is a skill published in the GitHub repository STELIORD/agentic-awesome-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 1,089 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-java, differing in 35 lines, and is treated as a copy.
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