A specialized utility for generating and persisting diverse multi-agent persona sets to ensure unbiased consensus in AI workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install consensus-persona-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install consensus-persona-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Consensus Persona Generator?
Consensus Persona Generator serves as the foundational entrypoint for achieving evaluator diversity within the Openclaw Skills ecosystem. By initializing distinct decision personas—each with unique roles, biases, risk postures, and voting styles—the skill prevents the common pitfall where a single AI model self-approves its own output. It establishes a framework for structured disagreement, ensuring that downstream guards operate with a comprehensive, multi-perspective review process.
As part of the broader consensus-tools stack, this skill manages the lifecycle of persona_set artifacts, assigning initial reputation baselines for weighted arbitration. It focuses on efficiency by reusing compatible persona sets when possible, reducing computational churn while maintaining high governance standards for automated decision-making. This makes it an essential component for any developer building complex agentic workflows using Openclaw Skills.
Consensus Persona Generator Use Cases
- Bootstrap diverse evaluator cohorts for critical action guards like email publishing, code merges, or support ticket resolution.
- Generate specialized persona panels tailored to specific domains or high-risk profiles to stress-test agentic decisions.
- Establish reusable governance frameworks for long-running autonomous agent operations.
- Inject structured disagreement into agentic pipelines to validate model outputs through multi-perspective review.
How Consensus Persona Generator Works
- The skill receives a strict JSON input contract containing board ID, task context, and persona requirements.
- It analyzes the context to either retrieve an existing compatible persona set or generate N new distinct personas.
- It defines specific attributes for each persona, including role-specific bias, risk posture, and initial reputation baselines.
- The resulting versioned persona_set artifact is persisted to the board state using configured environment variables.
- Finally, it returns a structured JSON output with persona details and board write references for downstream integration.
Consensus Persona Generator Setup
Ensure you have Node.js and tsx installed in your environment. You must also configure the required environment variables for state management.
npm i consensus-persona-generator
Set the following environment variables:
CONSENSUS_STATE_FILE: Path to your state ledger.CONSENSUS_STATE_ROOT: Root directory for state artifacts.
Run the generator using an input JSON:
node --import tsx run.js --input ./examples/persona-input.json
Consensus Persona Generator Data Schema & Taxonomy
The skill organizes its state through versioned artifacts within the consensus board structure. Key data elements include:
| Attribute | Description |
|---|---|
persona_set_id |
Unique identifier for the cohort of evaluators. |
personas[] |
Array of objects defining roles, biases, and voting styles. |
reputation_baseline |
Initial weight assigned for weighted arbitration. |
board_write_refs |
Pointers to the board state artifacts for persistence. |
Consensus Persona Generator Advanced Features
- Board-native orchestration via consensus-interact contract integration for standardized skill communication.
- Deterministic and replayable behavior ensuring consistency across audit logs and governance workflows.
- Idempotent decision lookup to prevent redundant artifact generation and minimize resource usage.
- Seamless integration with consensus-persona-engine for long-term reputation mutation and persona lifecycle management within Openclaw Skills.
SKILL.md
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Related Openclaw Skills
Consensus Persona Engine
A deterministic state transition layer for applying reputation updates and emitting explicit reputation delta artifacts.
Consensus Permission Escalation Guard
A deterministic safety gate for IAM and privilege elevation requests in automated agent workflows.
Consensus Interact
A local-first engine for running multi-LLM policy-based decision workflows to ensure high-confidence outcomes in agentic systems.
consensus-guard-core
A shared deterministic policy engine providing the core primitives for vote aggregation, reputation management, and schema enforcement within the Openclaw Skills ecosystem.
Consensus Persona Respawn
A persona lifecycle management tool that replaces underperforming AI evaluators with optimized successors based on historical mistake patterns.
Consensus Send Email Guard
A persona-weighted governance system that ensures AI-generated emails meet policy and safety standards before being sent.
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