Skylv Consensus Persona Engine

Builds consensus-driven AI personas from multiple perspectives

Security Scan

The skill's code and instructions match its stated purpose (building a consensus persona from votes), it has no external network calls or credential requests, and its behavior is limited to reading/writing a local vote file.

Purpose & Capability

Name/description, SKILL.md usage, and the included JavaScript implement a vote-driven consensus persona engine. There are no unexpected environment variables, binaries, or config paths requested that would be unrelated to this functionality.

Instruction Scope

Runtime instructions only tell the agent to run the bundled Node script. The script reads/writes a local file (.consensus_votes.json) in the current working directory to store votes and prints consensus and a generated persona config. It does not access network endpoints, other files, or environment variables. Note: the SKILL.md and code assume local execution; the script will create/overwrite .consensus_votes.json in whatever directory it runs in.

Install Mechanism

No install specification — instruction-only with a single JS file. Nothing is downloaded or installed by the skill, minimizing installation risk.

Credentials

The skill requires no credentials, environment variables, or config paths. No secrets are requested, which is proportional to its described purpose.

Persistence & Privilege

The skill does not request persistent platform privileges (always:false). Its only persistent action is writing a local vote file; it does not modify other skills or system-wide agent settings.

Assessment

This skill appears coherent and limited in scope: it runs a local Node script that stores votes in a local file and produces a JSON persona config. Before installing or running it: (1) review the JS file yourself (it's small and readable); (2) be aware it will create/modify .consensus_votes.json in the directory where you run it — avoid running it in sensitive directories; (3) because the source/homepage are unknown, consider running it in a sandbox or test environment first; (4) if you need voter weighting or persistent centralized storage, verify or extend the implementation (the code accepts a weights parameter but provides no mechanism to populate it). Overall there are no network calls or credential requests, so risk is low when used as intended.

Multi-Agent personality consensus engine. Align multiple agents through voting and weighted decision-making.

Problem

When multiple AI agents collaborate, how do you ensure consistent behavior? Each agent might have different "personalities" — tone, risk tolerance, autonomy level.

Solution

Consensus Persona Engine — agents vote on personality dimensions, and a consensus personality is calculated.

Usage

# Cast votes
node consensus_persona_engine.js vote tone friendly
node consensus_persona_engine.js vote autonomy proactive

# Calculate consensus
node consensus_persona_engine.js consensus

# List dimensions
node consensus_persona_engine.js dimensions

Personality Dimensions (6)

Dimension	Description	Options
tone	Communication style	formal, casual, friendly, professional, neutral
verbosity	Response detail level	concise, moderate, detailed, exhaustive
risk_tolerance	Risk acceptance	conservative, balanced, aggressive
autonomy	Decision independence	passive, suggestive, proactive, autonomous
safety_level	Security strictness	minimal, standard, strict, paranoid
creativity	Innovation level	factual, balanced, creative, experimental

Output

• Consensus personality with confidence scores
• Generated rules based on consensus
• JSON config for agent initialization

Market Data

Blue ocean: consensus-persona-engine scores 0.713 — minimal competition.

---

Enabling multi-agent harmony.

Install

openclaw skills install skylv-consensus-persona-engine