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Create Agent

Checked
openrouterteam·vlatest·agents

Dynamically generate new, specialized AI agents tailored to your specific tasks and workflows using openrouterteam's create-agent skill.

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 openrouterarchived/agent-skills --skill create-agent -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

openrouterteam

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

    Only contacts known or declared hosts: openrouter.ai.

    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

    openrouter.aimodel provider

  • 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 openrouterteam/agent-skills at 2a69d8c22c.

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

Commit
2a69d8c22c
Manifest
skills/create-agent/SKILL.md
Scanned
2 files, 827 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 create-agent skill enables users to define and configure AI agents with specific roles, capabilities, and behaviors. It provides tools to set up agent personalities, assign tasks, and manage interactions within a structured environment.

When to use it

  • When building custom AI assistants for specialized tasks like customer support or data analysis.
  • To create agents that interact with external APIs or databases as part of a larger workflow.
  • For developers looking to prototype multiple agent-based systems quickly.
  • When designing multi-agent environments where different agents collaborate on complex problems.

Key capabilities

  • Define agent roles and personalities
  • Configure task-specific behaviors and constraints
  • Integrate with external tools and services
  • Manage agent interactions and workflows

Example prompts

  • "Create an AI agent that acts as a customer support representative for a tech company."
  • "Design an agent that can analyze user input and route it to the appropriate department."
  • "Set up an agent with access to a database to retrieve product information on demand."

Tips & gotchas

  • Ensure you have the necessary permissions or API keys if integrating with external services.
  • Test agents in isolated environments before deploying them in production workflows.