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Autogpt Agents

Checked
davila7·vlatest·agents·MIT

Automates complex tasks by chaining together GPT agents to achieve user-defined goals iteratively.

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 davila7/claude-code-templates --skill autogpt-agents -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

davila7

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.

    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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/agents-autogpt/SKILL.md
Scanned
3 files, 1,231 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 autogpt-agents skill enables AI agents to autonomously perform complex tasks by breaking them into smaller, manageable subtasks. It allows for dynamic task delegation between multiple agents and integrates with external tools for enhanced functionality.

When to use it

  • Automating multi-step workflows that require decision-making and coordination between different AI agents.
  • Handling projects that involve research, data analysis, or content creation requiring specialized skills.
  • Managing tasks where the process is not linear and requires adaptive problem-solving strategies.

Key capabilities

  • Task decomposition into subtasks for efficient execution.
  • Agent-to-agent communication and collaboration.
  • Integration with external APIs and tools to expand functionality.

Example prompts

  • "Create a marketing plan for a new product, using market research and competitor analysis."
  • "Generate a report on climate change trends by gathering data from multiple sources."
  • "Design a website layout based on user feedback and design principles."

Tips & gotchas

  • Ensure that all external tools or APIs required are properly configured and accessible.
  • Monitor agent behavior to avoid unintended outcomes, especially in complex or open-ended tasks.