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 dedup-openaigit 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/dedup-openai)<a href="https://agentmods.dev/skills/azure/azure-sdk-for-java/dedup-openai"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-java/dedup-openai/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/dedup-openai"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-java/dedup-openai.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 | $0.00038 | $0.02717 |
| Opus 5.5 | $0.00015 | $0.01087 |
| Sonnet 5.5 | $0.00008 | $0.00543 |
| Haiku 4.5 | $0.00004 | $0.00272 |
Grade A, and why
dedup-openai 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
De-duplicate Generated Classes Against openai-java
Use this skill after the dup-classes skill has identified actionable duplicates. This skill suppresses the generated classes and bridges to the openai-java equivalents.
Preconditions
- A
tsp-location.yamlmust exist in the current directory. - TypeSpec must be synced (
tsp-client sync) soTempTypeSpecFiles/exists. - The
openai-javadependency must be in the project'spom.xml. - You must know which classes to suppress (use
dup-classesskill first).
Key concepts
What can be suppressed
Only standalone models that don't participate in a discriminator hierarchy. A model is standalone if:
- It does NOT extend
Tool,TextResponseFormatConfiguration, or another base class with afromJsondiscriminator - It is NOT a subtype dispatched by a parent's
fromJsonmethod
What cannot be suppressed
Structural equivalents — classes that extend a base type in a discriminator hierarchy (e.g., FunctionTool extends Tool). The SDK's polymorphic serialization requires these. They produce identical JSON but are not actionable. Do NOT attempt to suppress them.
Two suppression mechanisms
| Mechanism | When to use | Effect |
|---|---|---|
@@alternateType(OpenAI.X, { identity: "com.openai.models.X" }, "java") |
The model is referenced as a field type or union member in other models | Codegen replaces the type with the openai-java class. The generated class is NOT emitted at all. |
@@access(OpenAI.X, Access.internal, "java") |
The model is NOT referenced by any public model | Codegen moves the class to implementation.models. |
Prefer @@alternateType — it fully prevents emission and is the cleanest approach. Use @@access(internal) only as a supplement when a model isn't reachable through the type graph but is still emitted.
Why @@access(internal) alone may not work
If a model is referenced by a union or property in a public model, @@access(internal) will NOT move it. The codegen keeps it public because removing it would break the type graph. Example: ComparisonFilter is a member of the Filters union used by FileSearchTool.filters — @@access(internal) has no effect, but @@alternateType prevents emission entirely.
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 · 253 lines · 38 tokens per session scan A db9f9258a9ad
dedup-openai is a skill published in the GitHub repository Azure/azure-sdk-for-java (2,565 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 2,717 once invoked, about $0.0002 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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