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Replit Prompt

Checked
sergio-bershadsky·vlatest·ai-ml·Unlicense

Replit Prompt helps you generate and refine code snippets within Replit, boosting developer productivity by streamlining coding 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 sergio-bershadsky/ai --skill replit-prompt -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

sergio-bershadsky

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 sergio-bershadsky/ai at 5eb371ac42.

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

Commit
5eb371ac42
Manifest
plugins/replit-prompts/skills/replit-prompt/SKILL.md
Scanned
3 files, 739 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 replit-prompt skill allows AI agents to execute prompts directly within a Replit environment. This enables complex tasks requiring code execution, such as running scripts, interacting with APIs through code, and generating dynamic content based on real-time data. The agent can then retrieve the output from the Replit session for further processing or presentation.

When to use it

  • Automated API Interactions: Use this skill when your AI needs to interact with an API that requires custom code or complex authentication flows.
  • Data Processing & Analysis: If you need to process data using Python scripts or other languages, the agent can execute those scripts within Replit and return the results.
  • Dynamic Content Generation: Generate images, videos, or other dynamic content by running code that leverages external libraries or services in a Replit environment.
  • Running Complex Calculations: Execute computationally intensive tasks using specialized libraries available in Replit's environment.

Key capabilities

  • Executes prompts within a Replit environment.
  • Retrieves output from the Replit session.
  • Supports various programming languages (as supported by Replit).
  • Enables interaction with external APIs and services via code.

Example prompts

  • "Run this Python script: print('Hello, world!')"
  • "Execute this code to fetch data from the OpenAI API and print the response."
  • "Create a simple web server using Flask in Replit and give me its URL."

Tips & gotchas

  • Requires familiarity with basic programming concepts and syntax for the chosen language.
  • Be mindful of resource limits within the Replit environment; complex tasks may require more time or resources.