ralph-status

Generate a machine-parseable RALPH_STATUS block after each autonomous loop iteration.

1|Updated Mar 15, 2026

Search Tags:#agent communication #progress tracking #status reporting #autonomous loop #exit signal #machine parseable

Ready to run

npx skills add https://github.com/Pixel-Process-UG/superkit-agents --skill ralph-status

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ralph-status
Source: https://github.com/Pixel-Process-UG/superkit-agents/tree/main/templates/skills/ralph-status
Command: npx skills add https://github.com/Pixel-Process-UG/superkit-agents --skill ralph-status

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a standardized, machine-readable format for reporting the status and outcome of autonomous loop iterations, enabling automated monitoring, exit condition evaluation, and progress tracking.

Core Features & Use Cases

Standardized Reporting: Generates a RALPH_STATUS block at the end of each loop iteration.
Metric Collection: Tracks tasks completed, files modified, and test results.
Status Evaluation: Determines if the loop is IN_PROGRESS, COMPLETE, or BLOCKED.
Exit Signal: Explicitly signals loop completion based on strict criteria.
Use Case: Essential for autonomous agents to communicate their progress and completion status to orchestrators or monitoring systems, ensuring reliable execution and termination.

Quick Start

Use the ralph-status skill to produce a status block after completing an autonomous loop iteration.

Frequently Asked Questions about ralph-status

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I track autonomous loop progress for machine-parseable monitoring?▼

To track autonomous loop progress, you can generate a structured RALPH_STATUS block that collects metrics like tasks completed and evaluates overall status, providing machine-parseable output for monitoring systems.

What is a standardized status reporting format for autonomous agents?▼

A standardized status reporting format for autonomous agents is a rigid, machine-readable block that defines status as IN_PROGRESS, COMPLETE, or BLOCKED, ensuring reliable parsing by loop orchestrators.

How does an autonomous agent signal loop completion to an orchestrator?▼

An autonomous agent signals loop completion by evaluating strict criteria and generating an explicit EXIT_SIGNAL within a machine-readable status block, ensuring the orchestrator receives reliable termination data.

Can I use structured progress reporting for autonomous loops without external dependencies?▼

Yes, you can generate structured progress reporting for autonomous loops without external dependencies by using a self-contained skill to produce rigid status blocks for automated monitoring.

What are the limitations of using rigid status blocks for agent communication?▼

The limitation of using rigid status blocks for agent communication is that they require strict adherence to a specific output format, meaning any deviation breaks reliable parsing by monitoring systems.