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Omniflow Runtime Modifier

OrganizationPopular
omnimind-ai
omniflow-runtime-modifier

Safely inspect, edit, validate, hot reload, and recover the OmniFlow Python runtime inside OpenOmniBot. Use when changing the VLM planner, prompts, GUI execution policy, replay, retry, checker, Function, or RunLog behavior through the official OmniFlow developer override tools.

Overview

Publisheromnimind-ai
RepositoryOmniBot
Skill nameomniflow-runtime-modifier
Stars
2K
Forks
142
Bundled files
1
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Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

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

  • Open source

    Published by omnimind-ai on GitHub. Read the source before you install it.

Installation

Install the Omniflow Runtime Modifier 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.
  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/omnimind-ai/OmniBot.git /tmp/OmniBot
mkdir -p .claude/skills
cp -r /tmp/OmniBot/plugins/omni-vlm-lite/agent-skill/omniflow-runtime-modifier .claude/skills/omniflow-runtime-modifier
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omniflow Runtime Modifier 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 Omniflow Runtime Modifier 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 Omniflow Runtime Modifier 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.

Modify OmniFlow Runtime

Treat the packaged runtime as immutable. Make focused Python edits through the Android-managed developer override.

Workflow

  1. Call get_omniflow_python_override without a path and record the runtime version and modified files.
  2. Call it again with the exact omniflow/**/*.py path to read current source and SHA-256.
  3. Change one owning file with the smallest coherent edit.
  4. Call apply_omniflow_python_override with the path and complete file content. It validates Python syntax, restarts the worker, checks the runtime contract, and rolls back on failure.
  5. Exercise the affected operation. Use reload_omniflow_python_override only when a clean worker restart is needed without another edit.
  6. If the override is unhealthy, call clear_omniflow_python_override with confirm=true to restore the pinned runtime.

Ownership

  • Modify planner and prompts under omniflow/vlm/.
  • Modify retry, checker, replay, and execution policy under omniflow/runtime/.
  • Modify Function and RunLog behavior in their OmniFlow packages.
  • Do not modify, replace, or emulate OmniTransfer. Failed target mappings must use the normal VLM fallback and must never replay source-device coordinates silently.
  • Do not weaken payment confirmation or other user-consent boundaries.

Apply whole-file content only. Never write directly into the pinned runtime installation directory.

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 Omniflow Runtime Modifier AI skill do?

Safely inspect, edit, validate, hot reload, and recover the OmniFlow Python runtime inside OpenOmniBot. Use when changing the VLM planner, prompts, GUI execution policy, replay, retry, checker, Function, or RunLog behavior through the official OmniFlow developer override tools.

Why use Omniflow Runtime Modifier on TypingMind?

Because you install it once and use it with any model. Omniflow Runtime Modifier 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 Omniflow Runtime Modifier in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/omnimind-ai/OmniBot/tree/main/plugins/omni-vlm-lite/agent-skill/omniflow-runtime-modifier. 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 Omniflow Runtime Modifier?

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 Omniflow Runtime Modifier?

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

Is the Omniflow Runtime Modifier AI skill free?

It is published on GitHub by omnimind-ai. Check the repository for licensing terms. 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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