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capability-evolver

Generate auditable Genome Evolution Protocol prompts from agent runtime logs and failure traces.

Updated Mar 20, 2026
Search Tags:#automation#audit#agent#evolution#nodejs#self-repair#gep
One-click install
npx skills add https://github.com/hendrax5/ironman --skill capability-evolver-hendrax5
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capability-evolver
Source: https://github.com/hendrax5/ironman/tree/main/skills/evolver
Command: npx skills add https://github.com/hendrax5/ironman --skill capability-evolver-hendrax5

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and assets (resource) components.

What problem does it solve?

Evolver turns scattered prompt tweaks and runtime failures into auditable, protocol-bound evolution steps so teams can systematically repair and improve AI agents without ad hoc, unsafe edits. It reduces manual triage by analyzing logs, selecting reusable Genes/Capsules, and emitting a GEP prompt that guides the next corrective or enhancement action. The project prioritizes Bahasa Indonesia for evolution explanations and audit logs when presenting human-facing narratives.

Core Features & Use Cases

  • GEP Prompt Generation: Scan memory and logs, select Genes or Capsules, and emit a strict Genome Evolution Protocol prompt for deterministic evolution steps.
  • Safe Solidify / Validation: Run gated validation commands, canary tests, and git-based rollback to protect the codebase during solidification.
  • Local Hub Proxy & Worker Modes: Operate fully offline or connect to an EvoMap Hub via a local proxy for skill sharing, worker pool, and heartbeat.
  • Use Case: Harden a flaky agent loop by detecting recurring error signals, selecting a repair Gene, and producing an auditable EvolutionEvent for review and controlled application.

Quick Start

Run node index.js to analyze memory, select a Gene, and produce a GEP prompt for human review or downstream execution.

Frequently Asked Questions about capability-evolver

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

FAQPage Schema
How do I automate AI agent self-repair from runtime failure logs?▼

Automate AI agent self-repair by scanning runtime logs and failure traces to select reusable Genes, then emitting a strict Genome Evolution Protocol (GEP) prompt that guides corrective actions with full auditability.

What is a Genome Evolution Protocol prompt for agent maintenance?▼

A Genome Evolution Protocol (GEP) prompt is a strict, auditable directive generated from memory and log analysis that selects Genes or Capsules to guide deterministic agent evolution and self-repair steps.

How do I safely apply agent evolution steps without breaking my codebase?▼

Safely apply agent evolution by running gated validation commands and canary tests during solidification, using git-based rollback to revert changes if validation fails and protect your codebase.

Can I run agent evolution workflows fully offline without network connectivity?▼

Yes, you can run agent evolution workflows fully offline using local Hub Proxy and Worker modes, or connect to an EvoMap Hub via a local proxy A2A mailbox for skill sharing and worker pools.

Do I need Node.js and git to use the Genome Evolution Protocol for agent maintenance?▼

Yes, you need Node.js version 18 or higher and git installed for rollback capabilities, with optional GitHub integration available via a GITHUB_TOKEN environment variable.

Why does my agent evolution audit log appear in Bahasa Indonesia?▼

Agent evolution audit logs and human-facing narratives appear in Bahasa Indonesia because the project prioritizes Bahasa Indonesia for presenting evolution explanations and audit records.

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