cu-sdk-sample-run

cu-sdk-sample-run is a skill for Claude Code, Codex from Azure/azure-sdk-for-java. It costs 41 tokens per session (8,706 once invoked), scanned A, original, MIT.

A guided runner for a chosen sample in the Azure AI Content Understanding Java SDK, a software library for analyzing documents and other content.

In plain words
What is it for?
Use it to run samples such as analyzing a web address or an invoice after the Azure SDK environment is configured.
Why use it?
It checks required Java, Maven, SDK, credentials, and model setup before running the requested example.

Skill for Claude CodeCodex ✓ vendor

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is - Parent POM not found: run `mvn install -DskipTests -f ../../parents/azure-client-sdk-parent/pom.xml` first.

Good fit Use it to run samples such as analyzing a web address or an invoice after the Azure SDK environment is configured.

Compare 6 skills from other repositories ↓
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 · 2,564 stars · on GitHub

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Azure/azure-sdk-for-java
agentmods
npx agentmods add skills/azure/azure-sdk-for-java/cu-sdk-sample-run

Made for: Claude Code, Codex.

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README.md
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Your own site · 80×15
<a href="https://agentmods.dev/skills/azure/azure-sdk-for-java/cu-sdk-sample-run"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-java/cu-sdk-sample-run.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,706 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: 17 findings, 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 219
    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.
  • high Privilege Escalation · line 222
    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.
  • high Privilege Escalation · line 225
    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.
  • high Privilege Escalation · line 364
    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.
  • high Privilege Escalation · line 404
    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.
  • high Privilege Escalation · line 418
    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.
  • high Privilege Escalation · line 451
    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.
  • high Privilege Escalation · line 452
    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.
  • high Privilege Escalation · line 487
    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.
  • high Privilege Escalation · line 488
    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.
  • high Privilege Escalation · line 502
    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.
  • high Privilege Escalation · line 561
    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.
  • high Privilege Escalation · line 562
    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.
  • high Privilege Escalation · line 585
    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.
  • high Privilege Escalation · line 589
    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.
  • high Privilege Escalation · line 396
    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.
  • medium Prompt Injection · line 304
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 $0.00041 $0.08706
Opus 5.5 $0.00016 $0.03482
Sonnet 5.5 $0.00008 $0.01741
Haiku 4.5 $0.00004 $0.00871

Measured 1mo ago against content hash 8022b474dd39, 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-sample-run 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run_sample.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-sample-run/SKILL.md · 597 lines

How it starts

The opening of the file, as written. The whole thing — 597 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run a Specific Sample

Run a specific sample from the Azure AI Content Understanding Java SDK.

[COPILOT INTERACTION MODEL]: This skill is designed to be interactive. At each step marked with [ASK USER], pause execution and prompt the user for input or confirmation before proceeding. Do NOT silently skip these prompts. Use the ask_questions tool when available.

Prerequisites

  • Java >= 8 (JDK)
  • Maven
  • SDK package available (public Maven Central or local build)
  • Environment variables configured (via shell export)
  • For prebuilt analyzers: model deployments configured (run Sample00_UpdateDefaults first)

[ASK USER] Prerequisites check: Before proceeding, verify the user's environment:

  1. "Do you have Java and Maven installed?" -- If no, direct them to install JDK 8+ and Maven.
  2. "Have you built the SDK or is it available on Maven Central?" -- If no, direct them to Step 2 below.
  3. "Have you configured your environment variables (endpoint and credentials)?" -- If no, direct them to Step 3.
  4. "Have you run Sample00_UpdateDefaults to configure model defaults?" -- If no and they want to use prebuilt analyzers, guide them to run it first.
  5. (Deferred — only if the user later picks Sample16_CreateAnalyzerWithLabels.) "Do you plan to train with labeled data? If yes, you'll need an Azure Blob container with the receipt label files uploaded and a SAS URL." Walk them through Step 5's Sample16 subsection when relevant.

Package Directory

sdk/contentunderstanding/azure-ai-contentunderstanding

Available Samples

All sync samples have async versions with an Async suffix. Samples are located in:

src/samples/java/com/azure/ai/contentunderstanding/samples/

Getting Started (Run These First)

Sample00_UpdateDefaults -- Required First!

One-time setup - Configures completion and embedding model deployment mappings and prebuilt analyzer aliases for your Microsoft Foundry resource. Must run before using prebuilt analyzers.

Read the full file on GitHub · 597 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 597 lines · 41 tokens per session scan A 8022b474dd39

Subscribe to this mod's changes

cu-sdk-sample-run is a skill published in the GitHub repository Azure/azure-sdk-for-java (2,564 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 8,706 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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