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Ralph Specum Cancel

Community
tzachbon
ralph-specum-cancel

This skill should be used only when the user explicitly asks to use `$ralph-specum-cancel`, or explicitly asks Ralph Specum in Codex to stop execution or remove a spec.

Overview

Publishertzachbon
Repositorysmart-ralph
Skill nameralph-specum-cancel
Stars
559
Forks
50
Bundled files
1
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.

  • 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 tzachbon on GitHub. Read the source before you install it.

Installation

Install the Ralph Specum 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.
    https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-cancel
  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/tzachbon/smart-ralph.git /tmp/smart-ralph
mkdir -p .claude/skills
cp -r /tmp/smart-ralph/plugins/ralph-specum-codex/skills/ralph-specum-cancel .claude/skills/ralph-specum-cancel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ralph Specum 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 Ralph Specum 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 Ralph Specum 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.

Ralph Specum Cancel

Use this to stop execution safely and optionally remove a spec. Safe cancel preserves the spec and every prototype source path.

Derive RALPH_CODEX_PLUGIN_ROOT from this loaded skill by resolving two parent directories from the SKILL.md directory. Never derive it from the project working directory.

Contract

  • Resolve the target by explicit path, exact name, or .current-spec
  • Treat a missing activePrototypes field as an empty map
  • Publish reviewed immutable cancellation evidence before removing active state
  • Confirm the exact local target before any deletion
  • Never delete a remote branch or perform another remote action
  • Do not guess on ambiguous names

Action

  1. Resolve the target spec. If none exists, report that there is nothing to cancel.
  2. Read .ralph-state.json when present and summarize the current phase and progress.
  3. If activePrototypes is non-empty, use the resolved basePath and run "$RALPH_CODEX_PLUGIN_ROOT/scripts/prototype_records.py" reconcile before cancellation. Process active IDs by created, then ID, at the next safe tool boundary.
  4. For each active prototype:
    • Inspect its owner, leaseToken, and harnessRun.id. When owner and leaseToken are both null or absent, verify that harnessRun.id is also null or absent and no builder is associated, then skip interrupt and release and continue cancellation. If those fields disagree, treat the entry as inconsistent builder ownership: retain the lease and active entry and stop for that ID. Otherwise, interrupt only its recorded child builder through the bounded harness contract. Release through locked_state.py release-lease --id <id> --lease-token <leaseToken> only after the harness verifies that the recorded builder and descendants stopped. If interruption is unavailable or unverified, or reports any failed termination attempt, retain the lease and active entry and stop cancellation for that ID.
    • Preserve its question, blocker, return phase and task, timestamps, local branch, isolation pointers, partial implementation, run evidence, stale metadata, and downstream artifacts.
    • Render an exclusive terminal candidate with verdict: cancelled, gateApproved: false, and sourceDisposition: retained. Never overwrite existing candidate or final bytes; allocate a new publication ID with supersedes: ["<original-id>"] on collision.
    • Before review, store the exact returned candidateHash. Update the existing original entry through compare-and-set transition, or reserve a separate superseding ID through create-only locked_state.py upsert-prototype with the copied recovery fields and exact candidateHash. Retain the original active entry unchanged while the superseding record is reviewed. A reservation collision preserves both entries and candidates and allocates another ID.
    • Send the exact candidate bytes and source pointers to the reviewer. Continue only after REVIEW_PASS, then call review-candidate and publish with the publication ID and exact candidate hash.
    • Re-read and parse the immutable final and verify its hash. Publication removes its own active publication entry. When a superseding ID was used, remove the original active entry only after final verification succeeds; any earlier failure retains it. Reconcile, then restore the recorded main phase and task index through locked_state.py without changing unrelated state.
  5. Safe cancel is the default. After every active prototype has a verified immutable cancelled record, delete only .ralph-state.json through locked_state.py delete-state. Keep the spec directory, .current-spec, terminal records, prototype source, partial work, scratch paths, worktrees, and local branches.
  6. If full removal was explicitly requested, show the resolved spec directory and every prototype isolation path and branch. Require confirmation naming the exact spec directory before removing it. Prototype paths and local branches require separate exact confirmations and are never included in recursive spec cleanup. Never delete a remote branch.
  7. If no state exists, report that no active loop exists and remove nothing unless the exact full-removal confirmation is complete.
  8. Keep active epic files unless the user separately requests their removal. Report exactly what was removed and what was preserved.

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 Ralph Specum Cancel AI skill do?

This skill should be used only when the user explicitly asks to use `$ralph-specum-cancel`, or explicitly asks Ralph Specum in Codex to stop execution or remove a spec.

Why use Ralph Specum Cancel on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-cancel. 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 Ralph Specum 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 Ralph Specum Cancel?

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

Is the Ralph Specum Cancel AI skill free?

Yes. It is published on GitHub by tzachbon 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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