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Ralph Evolver

Recursive self-improvement engine. Think from first principles, let insights emerge.

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High Signal

Recursive self-improvement engine. Think from first principles, let insights emerge.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, evolve.js, evolve.test.js, index.js, package.json

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.6

Provenance

Publisher: hsssgdtc
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

🧬 Ralph-Evolver

Philosophy: Recursion + Emergence + First Principles

Signal Sources

Collects multi-dimensional context, not just code structure: Commit history - Understand the "why" behind changes TODO/FIXME - Distress signals in the code Error handling patterns - Find fragile points Hotspot files - Frequent changes = design problems Each signal includes a hypothesis prompt to guide deeper analysis.

First Principles

Each run doesn't execute a checklist, but asks: What is the essence of this project? What is it doing that it shouldn't? What is it missing that it should have? If you started from scratch, how would you build it?

Meta-Reflection (v1.0.5)

When analyzing itself, evolver asks: Is this a surface fix or evolution-level improvement? What pattern exists in improvement history? Will this change make evolver better at finding problems?

Improvement Tracking

Records description, insight, level (surface/evolution), and health metrics Pattern analysis: counts surface/evolution ratio, finds recurring themes Compares before/after effect trends (improved/degraded/unchanged)

Usage

node index.js . # Current directory (positional) node index.js /path/to/app # Specify path node index.js . --loop 5 # Run 5 cycles node index.js --task "fix auth" # Specific task node index.js --reset # Reset iteration state

Recursion

The improver can improve itself. This is true recursion. "Form hypotheses, then verify. Think from first principles."

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Scripts1 Docs1 Config

SKILL.md Primary doc
evolve.js Scripts
evolve.test.js Scripts
index.js Scripts
package.json Config