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Generate Agents Md

Checked
ar4mirez·vlatest·agents·MIT

Generates detailed agent profiles, including roles, skills, motivations, and backstories, for simulations and creative projects.

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 ar4mirez/samuel --skill generate-agents-md -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

ar4mirez

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 ar4mirez/samuel at 571d3d1834.

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

Commit
571d3d1834
Manifest
.claude/skills/generate-agents-md/SKILL.md
Scanned
2 files, 638 lines
Copies in repo
2 — all of them scanned
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 skill generates Markdown files containing agent configurations. It creates structured text suitable for defining and deploying AI agents, outlining their roles, tools, and prompts. The generated configuration can be used to instantiate agents within compatible platforms or frameworks.

When to use it

  • Creating initial agent blueprints for a new project.
  • Generating variations of existing agents with different toolsets.
  • Automating the creation of multiple similar agents (e.g., customer support bots).
  • Quickly prototyping agent configurations before full implementation.

Key capabilities

  • Generates Markdown formatted agent configuration files.
  • Allows for customization through prompts and parameters.
  • Provides a structured approach to defining AI agent roles.

Example prompts

  • "Generate an agent configuration for a travel booking assistant with access to flight and hotel APIs."
  • "Create a markdown file describing a code generation agent using Python and VS Code."
  • "Give me an agent definition for a data analysis bot that uses Pandas and Plotly."

Tips & gotchas

The generated Markdown may require some manual adjustments depending on the target platform or framework. Ensure the output is compatible with your specific AI agent deployment environment.