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Autonomous Development

Checked
bejranonda·vlatest·backend

This skill automates code generation & testing, accelerating software development and boosting productivity for faster results.

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 bejranonda/llm-autonomous-agent-plugin-for-claude --skill autonomous-development -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

bejranonda

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 bejranonda/llm-autonomous-agent-plugin-for-claude at d7c47f644e.

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

Scanned
1 file, 690 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 skill enables AI agents to autonomously develop software, including generating code, testing, and deploying applications. It allows for iterative development cycles based on feedback and automated error correction. The agent can manage dependencies and utilize external tools to complete complex coding tasks without constant human intervention.

When to use it

  • Automated Code Generation: Generate boilerplate code or entire modules for a new project quickly.
  • Bug Fixing & Refactoring: Have the agent automatically identify and fix bugs in existing codebases, or refactor code for improved readability and performance.
  • Simple Application Deployment: Automate the deployment of small applications to testing environments.
  • Prototyping: Rapidly prototype software solutions by having the agent handle much of the coding process.

Key capabilities

  • Code generation
  • Automated testing
  • Deployment automation
  • Dependency management
  • Error correction

Example prompts

  • "Create a Python script to scrape product prices from example.com and save them to a CSV file."
  • "Refactor this JavaScript function for better performance: [paste code here]"
  • "Deploy the 'hello-world' application to a staging server using Docker."

Tips & gotchas

The agent’s effectiveness depends on clear instructions and well-defined goals. Complex projects may require breaking them down into smaller, manageable tasks for optimal results.