cu-sdk-common-knowledge

cu-sdk-common-knowledge is a skill for Claude Code, Codex from Azure/azure-sdk-for-java. It costs 46 tokens per session (820 once invoked), scanned A, original, MIT.

A reference guide for Azure AI Content Understanding, a Microsoft service that extracts meaning from documents, images, audio, and video. It covers analyzers, output field schemas, API operations, and the Java SDK.

In plain words
What is it for?
Use it when answering questions or writing Java code for Content Understanding analyzers, schemas, and API calls.
Why use it?
It gives developers service-specific guidance and directs them to official documentation when details may have changed.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it when answering questions or writing Java code for Content Understanding analyzers, schemas, and API calls.

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Install with agentmods
npx agentmods add skills/azure/azure-sdk-for-java/cu-sdk-common-knowledge
About the project

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.

Azure/azure-sdk-for-java · 2,563 stars · on GitHub

Install

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.

Any agent
npx skills add Azure/azure-sdk-for-java --skill cu-sdk-common-knowledge
Clone the repo
git clone --depth 1 https://github.com/Azure/azure-sdk-for-java

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for cu-sdk-common-knowledge

README.md
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Your own site
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Your own site · 80×15
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Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 820 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 46
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00820
Opus 5.5 $0.00018 $0.00328
Sonnet 5.5 $0.00009 $0.00164
Haiku 4.5 $0.00005 $0.00082

Measured 2mo ago against content hash 2cb216d480dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cu-sdk-common-knowledge 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 2mo 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.

sdk/contentunderstanding/azure-ai-contentunderstanding/.github/skills/cu-sdk-common-knowledge/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure AI Content Understanding Domain Knowledge

This skill provides domain knowledge for Azure AI Content Understanding, a multimodal AI service that extracts semantic content from documents, video, audio, and image files.

[COPILOT GUIDANCE]: Always consult the official documentation first before answering user questions. Use fetch_webpage to read the relevant doc page when the reference material below is insufficient or may be outdated.

When a user's question is broad or ambiguous, ask them to clarify:

  • "Which modality are you working with — documents, images, audio, or video?"
  • "Are you using a prebuilt analyzer, or building a custom one?"
  • "Are you asking about the Java SDK specifically, or the service in general?"

Official Documentation

The authoritative source for Content Understanding is: https://learn.microsoft.com/azure/ai-services/content-understanding/

Always read the relevant page (via fetch_webpage) before answering if the reference material below does not cover the topic.

Key Documentation Pages

Topic URL
Overview https://learn.microsoft.com/azure/ai-services/content-understanding/overview
What's new https://learn.microsoft.com/azure/ai-services/content-understanding/whats-new
Content Understanding Studio https://learn.microsoft.com/azure/ai-services/content-understanding/quickstart/content-understanding-studio?tabs=portal%2Ccu-studio
Service limits https://learn.microsoft.com/azure/ai-services/content-understanding/service-limits
Region & language support https://learn.microsoft.com/azure/ai-services/content-understanding/language-region-support
Prebuilt analyzers https://learn.microsoft.com/azure/ai-services/content-understanding/concepts/prebuilt-analyzers
Create custom analyzer https://learn.microsoft.com/azure/ai-services/content-understanding/tutorial/create-custom-analyzer?tabs=portal%2Cdocument&pivots=programming-language-java
Document markdown https://learn.microsoft.com/azure/ai-services/content-understanding/document/markdown
Document elements https://learn.microsoft.com/azure/ai-services/content-understanding/document/elements
Video overview https://learn.microsoft.com/azure/ai-services/content-understanding/video/overview
Video elements https://learn.microsoft.com/azure/ai-services/content-understanding/video/elements
Audio overview https://learn.microsoft.com/azure/ai-services/content-understanding/audio/overview
Image overview https://learn.microsoft.com/azure/ai-services/content-understanding/image/overview
REST API reference https://learn.microsoft.com/rest/api/contentunderstanding/operation-groups

Read the full file on GitHub · 56 lines

Changes

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.

  1. 2mo ago First seen · 56 lines · 46 tokens per session scan A 2cb216d480dc

Subscribe to this mod's changes

cu-sdk-common-knowledge is a skill published in the GitHub repository Azure/azure-sdk-for-java (2,563 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 820 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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