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Spring Ai Zhipuai

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hwiesung·vlatest·backend

Integrates hwiesung's spring-ai-zhipuai to easily connect Spring Boot applications with Zhipu AI models.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add hwiesung/spring-ai-zhipuai --skill spring-ai-zhipuai -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

hwiesung

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned hwiesung/spring-ai-zhipuai at a50c1d3d79.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 204 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill integrates Zhipu AI's large language models (LLMs) into Spring AI applications. It provides a ZhipuAI implementation of the ChatModel interface, allowing you to leverage Zhipu’s models for tasks like text generation, question answering, and code completion within your Spring AI workflows. The skill simplifies interaction with Zhipu's API by handling authentication and request formatting.

When to use it

  • Experimenting with Zhipu AI Models: Quickly prototype applications using Zhipu’s LLMs without needing to manage low-level API details.
  • Building Chatbots: Integrate Zhipu models into conversational agents for more sophisticated responses.
  • Code Generation Tasks: Utilize the model's coding capabilities within a Spring AI application, such as generating code snippets or assisting with debugging.
  • Content Creation: Generate creative content like articles, poems, or scripts using Zhipu’s language generation capabilities.

Key capabilities

  • ZhipuAI implementation of ChatModel.
  • Simplified authentication with Zhipu AI.
  • Handles request formatting for Zhipu AI API.

Example prompts

  • "Use the Zhipu AI model to summarize this article: [article text]"
  • "Write a Python function that calculates the factorial of a number using the Zhipu AI model."
  • "Translate 'Hello, world!' into French using the Zhipu AI model."

Tips & gotchas

  • Requires an active Zhipu AI API key to operate. Ensure your API key is properly configured within your Spring AI application.