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Run Code

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tashfeenahmed
run_code

Write and execute a throwaway multi-line program (python, javascript/node, or bash) and capture its output. Use this instead of bash when you need real logic — loops, parsing, math, data transforms, calling a library — rather than a single shell command. The agent authors a small program on the fly and runs it as a first-class action.

Overview

Publishertashfeenahmed
Repositoryscallopbot
Skill namerun_code
Stars
56
Forks
9
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tashfeenahmed on GitHub. Read the source before you install it.

Installation

Install the Run Code AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tashfeenahmed/scallopbot/tree/main/src/skills/bundled/run_code
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tashfeenahmed/scallopbot.git /tmp/scallopbot
mkdir -p .claude/skills
cp -r /tmp/scallopbot/src/skills/bundled/run_code .claude/skills/run_code
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Run Code in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Run Code on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Run Code is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Run Code Skill

Author a small program and run it. This is the "code-execution-as-action" primitive: rather than being limited to a fixed catalog of tools, the agent can write a throwaway script to do exactly what a task needs and execute it.

When to Use

Reach for run_code over bash when the task is really a small program:

  • Data transforms: parse JSON/CSV, reshape, aggregate, filter
  • Math / computation: anything beyond a one-liner
  • Using a library: call a python or node module to do the heavy lifting
  • Generating a tool on the fly: write the logic once, run it, read the result

For a single shell command (ls, git status, npm install), use bash.

Input

json
{
  "language": "python",
  "code": "import json\nprint(json.dumps({'sum': sum(range(10))}))",
  "timeout": 60000
}
ParameterTypeRequiredDefaultDescription
languagestringYes-python, javascript, or bash
codestringYes-Full program source; print results to stdout
timeoutnumberNo60000Timeout in ms (max 120000)

Output

json
{
  "success": true,
  "output": "{\"sum\": 45}\n",
  "error": "",
  "exitCode": 0,
  "language": "python"
}
FieldTypeDescription
successbooleanTrue if the program exited 0
outputstringCaptured stdout
errorstringCaptured stderr (or error message)
exitCodenumberProcess exit code

Notes

  • The program runs in the workspace directory; temp source files are written to the OS temp dir and cleaned up after execution.
  • python requires python3 on PATH; if it's missing, the result explains how to install it. javascript runs under node. bash runs under bash.
  • Output is captured up to 1 MB; long-running programs are killed at the timeout.
  • Same trust model as the bash skill: it runs on the host unless the operator enabled SANDBOX_MODE, in which case writes outside the workspace (and, if configured, network access) are denied.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Run Code AI skill do?

Write and execute a throwaway multi-line program (python, javascript/node, or bash) and capture its output. Use this instead of bash when you need real logic — loops, parsing, math, data transforms, calling a library — rather than a single shell command. The agent authors a small program on the fly and runs it as a first-class action.

Why use Run Code on TypingMind?

Because you install it once and use it with any model. Run Code is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Run Code in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tashfeenahmed/scallopbot/tree/main/src/skills/bundled/run_code. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Run Code?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Run Code?

As many as you like. As long as a model supports skills, you can use Run Code with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Run Code AI skill free?

Yes. It is published on GitHub by tashfeenahmed under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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