Skip to content
TrustedSkillsbeta
Back to all skills

Plugin Structure

Official
anthropics·vlatest·backend·Apache-2.0

This skill defines a modular plugin architecture for seamless integration of diverse AI functionalities and data sources, boosting adaptability & performance.

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 anthropics/claude-plugins-official --skill plugin-structure -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

anthropics

Matched to the vendor's own GitHub organisation.

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.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned anthropics/claude-plugins-official at 921c90ff92.

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

Scanned
7 files, 2,964 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.
What each check looks for →

About this skill

What it does

The anthropics-plugin-structure skill provides a framework for structuring and managing plugins within AI agent systems. It enables developers to define, organize, and integrate plugin functionalities in a consistent manner, improving modularity and maintainability.

When to use it

  • When building an AI agent that requires multiple plugins with distinct functionalities
  • When aiming to standardize the structure of plugins for easier maintenance and scalability
  • During the development phase of an AI system where modular components are needed

Key capabilities

  • Plugin definition and organization
  • Consistent integration framework for plugins
  • Modular architecture support

Example prompts

  • "How can I structure my plugins using anthropics-plugin-structure?"
  • "Can you provide a template for defining a new plugin with this skill?"
  • "What are the best practices for integrating multiple plugins in an AI agent?"

Tips & gotchas

  • Ensure all plugins follow the defined structure to maintain consistency.
  • This skill is designed for developers familiar with plugin-based architectures and may require some setup before use.