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Omh Cancel

CommunityPopular
rlaope
omh-cancel

[omh] Hermes adaptation for ending active workflow state cleanly. Use when the user says: cancel, stop the workflow, abort the run, cancel the loop.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-cancel
Stars
2.7K
Forks
194
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Omh Cancel 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/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-cancel .claude/skills/omh-cancel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Cancel 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 Omh Cancel 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 Omh Cancel 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.

Cancel

This is an OMH cancel workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

cancel exists to keep operator work explicit, evidence-backed, and inside the Hermes/executor boundary instead of relying on ad hoc chat narration.

Do Not Use When

  • The request is casual chat, a status-only acknowledgement, or another workflow has stronger routing evidence.
  • The user needs implementation, review, CI, merge, or external publishing evidence that has not been delegated or observed.

Examples

Good example:

  • Prompt: cancel: handle a operator request that needs explicit evidence boundaries and a clear stop condition.
  • Expected behavior: Run cancel only after naming the target, evidence boundary, and stop condition.
  • Why: The request matches the catalog use case and keeps observed evidence separate from prepared guidance.

Bad example:

  • Prompt: cancel: treat casual chat or unaccepted work as if this workflow already produced verified results.
  • Expected behavior: Ask a clarification question or route to a narrower workflow instead of forcing cancel.
  • Why: The request lacks the required inputs or would overclaim work that Hermes did not observe.

Completion Checklist

  • The local command, managed path, config surface, and state artifact inspected are named.
  • Blocking issues, warnings, and optional surfaces are separated.
  • The next repair action is explicit and does not claim a reload or runtime observation.

Recovery Notes

  • If a managed path or config key is missing, route to setup/update repair instead of editing hidden state.
  • If a reload or plugin load was not observed, keep the diagnostic result as local health evidence only.

Use When

Use to cleanly end active adapted workflow state.

Strong routing signals: `cancel`, `$cancel`, `stop the workflow`, `abort the run`, `cancel the loop`

Catalog Metadata

Category: operator Phase: state-cleanup Quality tier: evidence-gated Reasoning demand: light

Quality bar:

  • Name the workflow target, constraints, validation evidence, and stop condition.
  • Separate Hermes guidance from executor or wrapper behavior unless evidence proves the step happened.

Required inputs:

  • active workflow state
  • cancellation intent

Expected outputs:

  • cleared state
  • safe stop summary

Artifact expectations:

  • state clear record when state exists

Safety rules:

  • Do not imply hidden Hermes runtime behavior.
  • Use the smallest verification that can prove the claim.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Report actual tool results or not_observed / not_available; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Frequently asked questions

What does the Omh Cancel AI skill do?

[omh] Hermes adaptation for ending active workflow state cleanly. Use when the user says: cancel, stop the workflow, abort the run, cancel the loop.

Why use Omh Cancel on TypingMind?

Because you install it once and use it with any model. Omh Cancel 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 Omh Cancel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-cancel. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Omh Cancel?

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 Omh Cancel?

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

Is the Omh Cancel AI skill free?

Yes. It is published on GitHub by rlaope 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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