Azure SDK for Java is a collection of Java libraries that let applications connect to and manage Azure services. Java developers use its client libraries to consume services and its management libraries to configure Azure resources. The catalogue add-ons support development with these libraries.
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 Azure/azure-sdk-for-java --skill dup-classesgit clone --depth 1 https://github.com/Azure/azure-sdk-for-javaWrote 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/azure/azure-sdk-for-java/dup-classes)<a href="https://agentmods.dev/skills/azure/azure-sdk-for-java/dup-classes"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-java/dup-classes/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/azure/azure-sdk-for-java/dup-classes"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-java/dup-classes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.01164 |
| Opus 5.5 | $0.00012 | $0.00466 |
| Sonnet 5.5 | $0.00006 | $0.00233 |
| Haiku 4.5 | $0.00003 | $0.00116 |
Grade A, and why
dup-classes 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 1mo 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Duplicate Class Verification (Generated vs openai-java)
Use this skill to compare generated Java models against the openai-java dependency. The goal is field-by-field comparison of model shapes, even when class or field names differ.
Inputs to confirm
- Generated source root (e.g.,
src/main/java/...) - The relevant
pom.xml(module) to resolve theopenai-javadependency version - Optional: package or class name hints to narrow the search
Steps
- Locate the pom.xml in the current directory tree (
find . -name pom.xml). If multiple, ask which module to use. - Resolve openai-java:
- Search the chosen pom for
openai-java(or an explicit group/artifact provided by the user). - Resolve the version (including properties) and locate the JAR in
~/.m2/repository. - The model classes live in
openai-java-core, not the top-levelopenai-javaartifact.
- Search the chosen pom for
- List candidate classes:
- Generated classes: scan the source root for
classandrecorddeclarations. - openai-java classes:
jar tf <jar> | grep '\.class$'(filter by package hints if provided).
- Generated classes: scan the source root for
- Extract field signatures (names may differ; compare shape):
- Generated source:
- For
record, use the component list in therecorddeclaration. - For
class, extract non-static field declarations (type + count) and note any@JsonPropertynames. - Check
toJson/fromJsonmethods for the actual JSON keys used in serialization.
- For
- openai-java JAR:
- Use
javap -classpath <jar> -p <FQCN>to list fields (ignorestatic,validated,hashCode$delegate,additionalProperties). - Extract
@JsonPropertykeys from the sources JAR (*-sources.jar) for JSON key comparison.
- Use
- Generated source:
- Compare shapes:
- Compare field count and field types (order-independent).
- Compare JSON keys from
@JsonProperty(openai-java) vstoJson/fromJsonstring literals (generated). - Compare enum/union values when field types are enums or string unions.
- Follow type hierarchy:
BinaryData↔JsonValue(both represent untyped JSON),Map<String,BinaryData>↔Map<String,JsonValue>, Java enum ↔ Kotlin string enum.
- Categorize results (do NOT treat all matches the same):
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.
- 1mo ago First seen · 87 lines · 31 tokens per session scan A 69cc6c809fe8
dup-classes is a skill published in the GitHub repository Azure/azure-sdk-for-java (2,564 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,164 once invoked, about $0.0001 per session on Opus 5.5. 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.
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