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Ralph Status

Community
jmagly
ralph-status

Check status of current or previous agent loop

Overview

Publisherjmagly
Repositoryaiwg
Skill nameralph-status
Stars
225
Forks
34
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 jmagly on GitHub. Read the source before you install it.

Installation

Install the Ralph Status 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/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/ralph-status
  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/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/agent-loop/skills/ralph-status .claude/skills/ralph-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ralph Status 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 Status 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 Status 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.

Al Status

Check the status of agent loops.

Usage

/ralph-status              # Current loop status
/ralph-status --verbose    # Detailed iteration history
/ralph-status --latest     # Show latest completion report
/ralph-status --all        # List all completion reports

Your Actions

Default (Current Loop)

  1. Read .aiwg/ralph/current-loop.json
  2. Display status summary

If active loop exists:

Agent Loop: ACTIVE

Task: {task}
Completion: {completion}
Progress: {current}/{max} iterations
Duration: {elapsed}
Status: {running | paused}

Last iteration:
  Result: {result}
  Learnings: {learnings}

Use /ralph-resume to continue or /ralph-abort to stop.

If no active loop:

No active agent loop.

Use /ralph "task" --completion "criteria" to start one.

--verbose

Include full iteration history:

Agent Loop: ACTIVE

Task: {task}
Completion: {completion}
Progress: {current}/{max} iterations

Iteration History:
| # | Time | Action | Result | Learnings |
|---|------|--------|--------|-----------|
| 1 | 10:30 | Initial attempt | 3 failures | Need auth mocks |
| 2 | 10:32 | Added mocks | 1 failure | Date edge case |
| 3 | 10:34 | Fixed date | In progress... | - |

--latest

Read and display most recent completion report:

  1. Find latest completion-*.md in .aiwg/ralph/
  2. Display contents

--all

List all completion reports:

Agent Loop History

| Date | Task | Status | Iterations |
|------|------|--------|------------|
| 2025-01-15 10:45 | Fix auth tests | SUCCESS | 3 |
| 2025-01-14 15:20 | Migrate to ESM | SUCCESS | 8 |
| 2025-01-13 09:00 | Add coverage | MAX_ITER | 10 |

View report: /ralph-status --report 2025-01-15

State File Location

  • Current loop: .aiwg/ralph/current-loop.json
  • Iterations: .aiwg/ralph/iterations/
  • Reports: .aiwg/ralph/completion-*.md

Error Handling

No state directory:

Al has not been used in this project yet.

Get started with:
  /ralph "your task" --completion "verification command"

Or:
  /ralph --interactive

Corrupted state:

agent loop state file is corrupted.

Options:
1. Delete and start fresh: rm -rf .aiwg/ralph/
2. Check file manually: cat .aiwg/ralph/current-loop.json

References

  • @$AIWG_ROOT/agentic/code/addons/agent-loop/README.md — Ralph addon overview and loop executor documentation
  • @$AIWG_ROOT/docs/cli-reference.md — CLI reference for ralph-status and related commands
  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/vague-discretion.md — Loop completion and iteration limit rules
  • @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/README.md — SDLC framework context

Frequently asked questions

What does the Ralph Status AI skill do?

Check status of current or previous agent loop

Why use Ralph Status on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/ralph-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ralph Status?

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 Status?

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

Is the Ralph Status AI skill free?

Yes. It is published on GitHub by jmagly 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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