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consensus-persona-respawn

Ledger-informed persona lifecycle management. Replaces low-performing personas with successor personas derived from mistake patterns in board decision history, preserving adaptive governance over long-running automation. Reputation updates are computed by consensus-persona-engine.

Why use this skill?

Optimize autonomous governance with consensus-persona-respawn. Automatically replace low-performing personas using historical decision data to improve AI agent team reliability.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/kaicianflone/consensus-persona-respawn
Or

What This Skill Does

The consensus-persona-respawn skill serves as the self-healing heartbeat of autonomous agent governance. In long-running AI agent teams, persona stagnation—where agents become ineffective or biased due to static logic—is a primary cause of systemic failure. This skill actively monitors the health of your board's persona set. When a persona's reputation, tracked by the consensus-persona-engine, drops below the defined threshold or hits a specific trigger event, this skill initiates a lifecycle replacement process.

It works by mining historical board decision artifacts to extract specific mistake patterns. It then synthesizes these patterns into new, successor persona profiles designed to specifically address and mitigate those past failures. By writing back to the persona_set artifacts, it ensures that your governance panel evolves over time, preventing the "drift" common in static systems and maintaining a high level of decision-making quality. It acts as an automated steward for your autonomous infrastructure.

Installation

To integrate consensus-persona-respawn into your environment, utilize the clawhub CLI. Ensure you are within your project root where your OpenClaw dependencies are managed. Run the following command:

clawhub install openclaw/skills/skills/kaicianflone/consensus-persona-respawn

This will install the package and link it to your existing consensus-guard-core environment. You may need to verify your configuration files to ensure the consensus_state_path is correctly pointing to your ledger directory, as this is required for the skill to read decision history and write new persona profiles.

Use Cases

  • Autonomous Governance Loops: Ideal for systems that operate for weeks or months without manual oversight, ensuring the panel remains sharp.
  • Error-Sensitive Environments: Perfect for financial or technical decision-making tasks where past mistakes should directly inform future logic.
  • Agent Team Lifecycle Management: Automatically retiring agents that no longer meet the performance benchmarks established by the consensus-persona-engine.

Example Prompts

  1. "Perform a persona health audit and respawn any low-reputation evaluators based on the latest quarterly decision ledger."
  2. "Analyze the last 50 failed decision artifacts and generate successor persona profiles for the board."
  3. "Run the consensus-persona-respawn lifecycle check and output the updated persona_set to the local state directory."

Tips & Limitations

  • Dependency Warning: This skill relies heavily on consensus-persona-engine for reputation data. Ensure your engine is properly configured and providing output before triggering respawn tasks.
  • LLM Costs: While the skill itself does not perform network calls, if your persona-generator backend uses a cloud-based LLM (like GPT-4), be aware of the costs associated with generating complex persona profiles.
  • Permissions: The skill performs file writes within the board state path. Ensure your runtime environment has appropriate write access to your state directory, but note that it is scoped strictly to consensus artifacts and does not modify system files.

Metadata

Stars1776
Views1
Updated2026-03-02
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-kaicianflone-consensus-persona-respawn": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#governance#autonomous-agents#lifecycle-management#ledger#consensus
Safety Score: 4/5

Flags: file-write, file-read