---
name: consensus-persona-generator-9eae7a577691
description: Generate and persist reusable persona panels (persona_set artifacts) for consensus decision workflows. This skill initializes evaluator diversity for downstream guards; ongoing reputation updates are owned by consensus-persona-engine.
version: 1.1.14
homepage: https://github.com/kaicianflone/consensus-persona-generator
source: https://github.com/kaicianflone/consensus-persona-generator
upstream:
  consensus-guard-core: https://github.com/kaicianflone/consensus-guard-core
requires:
  bins:
    - node
    - tsx
  env:
    - CONSENSUS_STATE_FILE
    - CONSENSUS_STATE_ROOT
metadata:
  openclaw:
    requires:
      bins:
        - node
        - tsx
      env:
        - CONSENSUS_STATE_FILE
        - CONSENSUS_STATE_ROOT
    install:
      - kind: node
        package: consensus-persona-generator
---

# consensus-persona-generator

`consensus-persona-generator` is the entrypoint for evaluator diversity in the Consensus.Tools ecosystem.

## What this skill does

- creates N distinct decision personas (role, bias, risk posture, voting style)
- assigns initial reputation baselines for weighted arbitration (ongoing updates handled by consensus-persona-engine)
- persists a versioned `persona_set` artifact to board state
- reuses compatible persona sets when possible to reduce churn

## Why this matters

Most agent pipelines fail because one model self-approves its own output. This skill injects structured disagreement first, so later guards operate over explicit multi-perspective review.

## Ecosystem role

Stack position:

`consensus-tools -> consensus-interact pattern -> consensus-persona-generator -> domain guards -> consensus-persona-engine`

- **consensus-tools**: board/job/submission ledger substrate
- **consensus-interact**: board-native orchestration contract
- **persona-generator**: lightweight multi-agent initialization layer
- **persona-engine**: reputation update and persona lifecycle state transition layer

## Inputs / outputs (automation-friendly)

- strict JSON input contract (`board_id`, `task_context`, `n_personas`, etc.)
- strict JSON output with `persona_set_id`, `personas[]`, and board write refs
- deterministic/replayable behavior where feasible

## Typical use cases

- bootstrap evaluators for email/publish/support/merge/action guards
- regenerate persona cohorts by domain or risk profile
- establish reusable governance personas for long-running automation


## Runtime, credentials, and network behavior

- runtime binaries: `node`, `tsx`
- network calls: none in shipped generator logic
- environment config read by this package: `CONSENSUS_STATE_FILE`, `CONSENSUS_STATE_ROOT`
- filesystem writes: board/state artifacts under the configured consensus state path

## Dependency trust model

- `consensus-guard-core` is the first-party consensus runtime dependency for this package
- versions are semver-pinned in `package.json` for reproducible installs
- this skill does not request host-wide privileges and does not mutate other skills

## Install

```bash
npm i consensus-persona-generator
```

## Quick start

```bash
node --import tsx run.js --input ./examples/persona-input.json
```

## Tool-call integration

This skill is wired to the consensus-interact contract boundary (via shared consensus-guard-core wrappers where applicable):
- readBoardPolicy
- getLatestPersonaSet / getPersonaSet
- writeArtifact / writeDecision
- idempotent decision lookup

This keeps board orchestration standardized across skills.

## Invoke Contract

This skill exposes a canonical entrypoint:

- `invoke(input, opts?) -> Promise<OutputJson | ErrorJson>`

`invoke()` initializes or reuses persona sets and executes board operations via shared guard-core wrappers. It does not perform ongoing reputation mutation; that belongs to consensus-persona-engine.


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/consensus-persona-generator/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/consensus-persona-generator/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Operations, Product Management
Roles: Business Process Analyst, Data Scientist, Growth Product Manager, ML / AI Engineer, Product Manager
Specialties: API
Tools: Node, Tsx
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 72ae5ad98fccb51b677be5b3257663aceb3d4c12eff3fb1ca700aefb62a54217