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 sendralt/agentic-awesome-skills --skill azure-ai-formrecognizer-javagit clone --depth 1 https://github.com/sendralt/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/sendralt/agentic-awesome-skills/azure-ai-formrecognizer-java)<a href="https://agentmods.dev/skills/sendralt/agentic-awesome-skills/azure-ai-formrecognizer-java"><img src="https://agentmods.dev/badge/skills/sendralt/agentic-awesome-skills/azure-ai-formrecognizer-java.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.02372 |
| Opus 5 | $0.00010 | $0.01186 |
| Sonnet 5 | $0.00004 | $0.00474 |
| Haiku 4.5 | $0.00002 | $0.00237 |
Grade A, and why
azure-ai-formrecognizer-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 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
86% identical to azure-ai-formrecognizer-java — 9 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 — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Document Intelligence (Form Recognizer) SDK for Java
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
Installation
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-formrecognizer</artifactId>
<version>4.2.0-beta.1</version>
</dependency>
Client Creation
DocumentAnalysisClient
import com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClient;
import com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
DocumentAnalysisClient client = new DocumentAnalysisClientBuilder()
.credential(new AzureKeyCredential("{key}"))
.endpoint("{endpoint}")
.buildClient();
DocumentModelAdministrationClient
import com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClient;
import com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClientBuilder;
DocumentModelAdministrationClient adminClient = new DocumentModelAdministrationClientBuilder()
.credential(new AzureKeyCredential("{key}"))
.endpoint("{endpoint}")
.buildClient();
With DefaultAzureCredential
import com.azure.identity.DefaultAzureCredentialBuilder;
DocumentAnalysisClient client = new DocumentAnalysisClientBuilder()
.endpoint("{endpoint}")
.credential(new DefaultAzureCredentialBuilder().build())
.buildClient();
Prebuilt Models
| Model ID | Purpose |
|---|---|
prebuilt-layout |
Extract text, tables, selection marks |
prebuilt-document |
General document with key-value pairs |
prebuilt-receipt |
Receipt data extraction |
prebuilt-invoice |
Invoice field extraction |
prebuilt-businessCard |
Business card parsing |
prebuilt-idDocument |
ID document (passport, license) |
prebuilt-tax.us.w2 |
US W2 tax forms |
Core Patterns
Extract Layout
import com.azure.ai.formrecognizer.documentanalysis.models.*;
import com.azure.core.util.BinaryData;
import com.azure.core.util.polling.SyncPoller;
import java.io.File;
File document = new File("document.pdf");
BinaryData documentData = BinaryData.fromFile(document.toPath());
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocument("prebuilt-layout", documentData);
AnalyzeResult result = poller.getFinalResult();
// Process pages
for (DocumentPage page : result.getPages()) {
System.out.printf("Page %d: %.2f x %.2f %s%n",
page.getPageNumber(),
page.getWidth(),
page.getHeight(),
page.getUnit());
// Lines
for (DocumentLine line : page.getLines()) {
System.out.println("Line: " + line.getContent());
}
// Selection marks (checkboxes)
for (DocumentSelectionMark mark : page.getSelectionMarks()) {
System.out.printf("Checkbox: %s (confidence: %.2f)%n",
mark.getSelectionMarkState(),
mark.getConfidence());
}
}
// Tables
for (DocumentTable table : result.getTables()) {
System.out.printf("Table: %d rows x %d columns%n",
table.getRowCount(),
table.getColumnCount());
for (DocumentTableCell cell : table.getCells()) {
System.out.printf("Cell[%d,%d]: %s%n",
cell.getRowIndex(),
cell.getColumnIndex(),
cell.getContent());
}
}
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 · 352 lines · 21 tokens per session scan A fe2b03464733
azure-ai-formrecognizer-java is a skill published in the GitHub repository sendralt/agentic-awesome-skills (1 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 2,372 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to azure-ai-formrecognizer-java, differing in 9 lines, and is treated as a copy.
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