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Cowork Plugin Customizer

Official
anthropics·vlatest·agents·Apache-2.0

This skill lets you tailor the Cowork AI agent’s behavior and workflows via plugins, boosting productivity & personalization for specific tasks.

Repository

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/knowledge-work-plugins --skill cowork-plugin-customizer -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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.datadoghq.com, api.githubcopilot.com, mcp.asana.com, mcp.figma.com, slack.mcp.claude.com.

    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.

    Hosts contacted

    api.githubcopilot.comundeclaredmcp.asana.comundeclaredslack.mcp.claude.comundeclaredmcp.figma.comundeclaredapi.datadoghq.comundeclared

    What it found (3 of 5)

    • cowork-plugin-management/skills/cowork-plugin-customizer/examples/customized-mcp.json:5contacts api.githubcopilot.com
      "url": "https://api.githubcopilot.com/mcp/",
    • cowork-plugin-management/skills/cowork-plugin-customizer/examples/customized-mcp.json:12contacts mcp.asana.com
      "url": "https://mcp.asana.com/sse"
    • cowork-plugin-management/skills/cowork-plugin-customizer/examples/customized-mcp.json:16contacts slack.mcp.claude.com
      "url": "https://slack.mcp.claude.com/mcp"

  • 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 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/knowledge-work-plugins at da38ec1ee8.

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

Commit
da38ec1ee8
Manifest
cowork-plugin-management/skills/cowork-plugin-customizer/SKILL.md
Scanned
5 files, 326 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

This plugin allows AI agents to discover and install custom skills directly from the TrustedSkills registry. It streamlines the agent's ability to expand its functional capabilities without manual intervention or code modification.

When to use it

  • You need to equip an agent with new tools dynamically based on current project requirements.
  • Your workflow requires rapid iteration where agents must acquire specific domain knowledge instantly.
  • You want to automate the setup process for multi-agent teams with varying specializations.
  • The environment needs strict control over which third-party skills are permitted for execution.

Key capabilities

  • Discovery of available skills within the TrustedSkills ecosystem.
  • Direct installation of selected skills into the agent's runtime environment.
  • Management of plugin configurations to ensure compatibility.

Example prompts

  • "Install the data-analysis skill from the registry so I can process this CSV file."
  • "Discover and add a customer-support plugin to handle incoming tickets."
  • "Update my current toolset by installing the latest version of the security-audit skill."

Tips & gotchas

Ensure the AI agent has network access to reach the TrustedSkills registry endpoints during installation. Verify that installed skills are compatible with your specific runtime environment before deploying them to production workflows.