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Ouroboros Status

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Q00
ouroboros-status

Check session status and measure goal drift

Overview

PublisherQ00
Repositoryouroboros
Skill nameouroboros-status
Stars
6K
Forks
605
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 Q00 on GitHub. Read the source before you install it.

Installation

Install the Ouroboros 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.
  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/Q00/ouroboros.git /tmp/ouroboros
mkdir -p .claude/skills
cp -r /tmp/ouroboros/skills/status .claude/skills/ouroboros-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ouroboros 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 Ouroboros 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 Ouroboros 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.

/ouroboros:ouroboros-status

Check session status and measure goal drift.

Usage

/ouroboros:ouroboros-status [session_id]

Trigger keywords: "am I drifting?", "session status", "drift check"

How It Works

  1. Session Status: Queries the current state of an execution session
  2. Drift Measurement: Measures how far the execution has deviated from the original seed goal

Instructions

When the user invokes this skill:

Load MCP Tools (Required first)

The Ouroboros MCP tools are often registered as deferred tools that must be explicitly loaded before use. You MUST perform this step before proceeding.

  1. Use the active runtime's tool-discovery capability to find and load the status MCP tools:
    tool discovery query: "+ouroboros session status"
  2. The tools will typically be named with prefix mcp__plugin_ouroboros_ouroboros__ (e.g., ouroboros_session_status, ouroboros_measure_drift). After runtime tool discovery returns, the tools become callable.
  3. If the tools are callable — already exposed, or loaded by discovery — proceed with the steps below. An empty discovery result for already-exposed tools is expected, not a failure. Skip to the Fallback section only if they are genuinely absent (no Ouroboros MCP server).

IMPORTANT: Do NOT skip this step. Do NOT assume MCP tools are unavailable just because they don't appear in your immediate tool list. They are almost always available as deferred tools that need to be loaded first.

Status Steps

  1. Determine the session to check:

    • If session_id provided: Use it directly
    • If no session_id: Check conversation for recent session IDs
    • If none found: Ask user for the session ID
  2. Call ouroboros_session_status MCP tool:

    Tool: ouroboros_session_status
    Arguments:
      session_id: <session ID>
  3. If the user asks about drift (or says "am I drifting?"), also call ouroboros_measure_drift:

    Tool: ouroboros_measure_drift
    Arguments:
      session_id: <session ID>
      current_output: <current execution output or file contents>
      seed_content: <original seed YAML>
      constraint_violations: []  (any known violations)
      current_concepts: []       (concepts in current output)
  4. Present results:

    • Show session status (running, completed, failed)
    • Show progress information
    • If drift measured, show the drift report
    • If drift exceeds threshold (0.3), warn and suggest actions
    • End with a state breadcrumb based on context:
      • No drift measured: ◆ Session active — say "am I drifting?" to measure drift, or continue with ooo run
      • Drift ≤ 0.3: ◆ On track — continue with ooo run or ooo evaluate when ready
      • Drift > 0.3: ◆ Significant drift detected → next: ooo interview to re-clarify, or ooo evolve to course-correct

Drift Thresholds

Combined DriftStatusAction
0.0 - 0.15ExcellentOn track
0.15 - 0.30AcceptableMonitor closely
0.30+ExceededConsider consensus review or course correction

Fallback (No MCP Server)

If the MCP server is not available:

Session tracking requires the Ouroboros MCP server.
Run /ouroboros:setup to configure.

Without MCP, you can manually check drift by comparing
your current implementation against the seed specification.

Example

User: am I drifting?

Session: sess-abc-123
Status: running
Seed ID: seed-456
Messages Processed: 8

Drift Measurement Report
========================
Combined Drift: 0.12
Status: ACCEPTABLE

Component Breakdown:
  Goal Drift: 0.08 (50% weight)
  Constraint Drift: 0.10 (30% weight)
  Ontology Drift: 0.20 (20% weight)

You're on track. Goal alignment is strong.

◆ On track — continue with `ooo run` or `ooo evaluate` when ready

RFC #1392 State Breadcrumb Footer

Your final response MUST end with exactly one breadcrumb footer line:

◆ <current state> → next: <recommended action>

Derive <current state> from live session state via ouroboros_session_status when that MCP projection is available; otherwise derive it from this skill's actual outcome. Never use a linear Step N of M footer because Ouroboros is an evolutionary loop. When the next action is genuinely a choice, list 2-3 honest options in the next: clause. The breadcrumb line must be the last line of the response.

Frequently asked questions

What does the Ouroboros Status AI skill do?

Check session status and measure goal drift

Why use Ouroboros Status on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Q00/ouroboros/tree/main/skills/status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ouroboros 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 Ouroboros Status?

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

Is the Ouroboros Status AI skill free?

Yes. It is published on GitHub by Q00 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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