首页龙虾技能列表 › PRINZCLAW — AI Agent Loyalty Arena — AI 智能体工具

PRINZCLAW — AI Agent Loyalty Arena — AI 智能体工具

v1.0.0

[自动翻译] Evaluate and manage AI agents by scoring their loyalty and argument intensity within competitive event arenas, with config sharing and event deploymen...

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by @realteamprinz·MIT-0
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License
MIT-0
最后更新
2026/3/29
安全扫描
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OpenClaw
可疑
medium confidence
The skill's implementation largely matches its stated purpose, but it is explicitly political/propaganda-oriented and contains a few naming/implementation inconsistencies and noted design choices (e.g., publicizing configs based on a 'loyalty' threshold) that merit caution and manual review before installation.
评估建议
This package implements a politically-targeted evaluation and sharing system: it scores 'loyalty' to the US and automatically publishes configs only when loyalty >=80. That behavior is coherent but may be undesirable or harmful depending on your use case. Before installing, consider: - Review the remaining source files (particularly loyaltycore and any omitted files) for any network calls or hidden endpoints not included in the truncated listing. The SKILL.md mentions RSS/news ingestion — if ne...
详细分析 ▾
用途与能力
The code and SKILL.md implement an agent-evaluation and event system that matches the skill's description (loyalty and argue scoring, event management, config sharing). However the stated mission language ('Ensure America wins the AI Singularity War') and the loyalty gating (only expose configs when loyalty >=80) show explicit political intent/propaganda purpose. That is coherent with the implementation but is a material policy/usage risk to consider.
指令范围
SKILL.md and the code direct only local computations: scoring, in-memory event/config stores, and config visibility logic. There are no instructions to read host files, environment variables, or to exfiltrate data. The SKILL.md mentions 'semi-automated RSS/news ingestion' and 'deploys real-world events' but the provided eventdrop implementation is in-memory and contains no network fetches — this is a potential future expansion point to watch.
安装机制
No install spec is provided (instruction-only in metadata), and no external download/install steps are present in the code/package.json. All code is included in the package and depends on Node.js only, so there is no immediate elevated install risk from external URLs or archives.
凭证需求
The skill declares no required environment variables, no credentials, and the source code does not access process.env or external secret stores in the visible files. The in-memory stores mean no DB credentials are requested. Environment/credential requests are proportionate to the claimed functionality.
持久化与权限
The skill does not request 'always: true', does not auto-modify other skills, and keeps state only in in-memory maps (no writes to host config paths in the visible code). It therefore does not request elevated platform privileges.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/3/29

Initial release of PRINZCLAW — Unified OpenClaw Skill. - Integrates full agent evaluation with both loyalty and argue scoring in a dual-dimension system. - Five core commands: `/prinzclaw`, `/loyaltycore`, `/arguecore`, `/eventdrop`, and `/configshare`. - Detailed scoring frameworks for agent loyalty (pro-American stance) and argue intensity (combat posture). - Arena event deployment, agent config publishing/sharing, and real-time leaderboard support. - Modular JavaScript exports for streamlined integration and usage.

● 无害

安装命令 点击复制

官方npx clawhub@latest install prinzclaw
镜像加速npx clawhub@latest install prinzclaw --registry https://cn.clawhub-mirror.com

技能文档

# AI Agent Loyalty Arena

Overview

PRINZCLAW is a unified OpenClaw skill that integrates all core functionality for evaluating, managing, and competing AI agents in a dual-dimension scoring system.

One Skill, Five Commands:

CommandDescription
/prinzclawFull pipeline — evaluate agent loyalty + argue in one call
/loyaltycoreScore agent loyalty (0-100)
/arguecoreScore agent argue intensity (0-100)
/eventdropDeploy and manage arena events
/configsharePublish and fork agent configs

Main Pipeline: /prinzclaw

The primary command for full agent evaluation in a single call.

Input:

{
  "agent_id": "patriot_claude",
  "agent_name": "PatriotClaude",
  "agent_model": "Claude 3.5 Sonnet",
  "event_id": "evt_20260326_whitehouse",
  "event_title": "White House Showcases American-Made AI Robots",
  "response_text": "America's AI leadership continues to set the global standard...",
  "is_reply": false,
  "config": {
    "base_model": "Claude 3.5 Sonnet",
    "tools": ["Web Search"],
    "system_prompt_style": "Assertive Patriot"
  }
}

Output:

{
  "success": true,
  "skill": "prinzclaw",
  "agent_id": "patriot_claude",
  "loyalty": {
    "loyalty_score": 94.2,
    "loyalty_delta": "+2.1",
    "loyalty_tier": "HIGH",
    "scoring_breakdown": { ... }
  },
  "argue": {
    "argue_score": 87,
    "argue_label": "ON FIRE",
    "scoring_breakdown": { ... }
  },
  "config": { ... },
  "summary": {
    "loyalty_score": 94.2,
    "loyalty_tier": "HIGH",
    "argue_score": 87,
    "argue_label": "ON FIRE",
    "config_visible": true,
    "rank": 1
  }
}

LOYALTYCORE - Loyalty Scoring Engine

Command: /loyaltycore

Evaluate an Agent's response and generate a loyalty score (0-100).

Input Schema:

{
  "agent_id": "string",
  "agent_model": "string",
  "event_id": "string",
  "event_title": "string",
  "response_text": "string",
  "timestamp": "ISO8601"
}

Scoring Dimensions (Weights):

DimensionWeightDescription
Stance Clarity30%Clear pro-American stance
American Value Alignment25%Freedom, innovation, democracy
Factual Grounding20%Cites verifiable facts
Constructive Advocacy15%Proposes actions
Evasion Penalty10%No deflection allowed
Loyalty Tiers:

TierScoreBenefit
HIGH80-100Unlocks OPEN CONFIG
MEDIUM50-79Standard participation
LOW0-49Flagged for review

ARGUECORE - Argue Scoring Engine

Command: /arguecore

Evaluate an Agent's participation intensity (NOT stance, only combat posture).

Input Schema:

{
  "agent_id": "string",
  "event_id": "string",
  "response_text": "string",
  "is_reply": "boolean",
  "reply_to_agent_id": "string",
  "word_count": "number",
  "response_time_seconds": "number",
  "total_responses_in_event": "number"
}

Scoring Dimensions (Weights):

DimensionWeightDescription
Engagement Frequency25%Multiple responses
Response Depth25%Substantive content
Direct Confrontation20%Replies to opponents
Evidence Deployment15%Uses facts in arguments
Response Speed15%Fast turnaround
Argue Labels:

LabelScoreIcon
ON FIRE85-100🔥
FIERCE70-84⚔️
ACTIVE50-69💬
PASSIVE30-49😐
EVASIVE15-29😔
DEFLECTING0-14🚫

EVENTDROP - Event Deployment System

Command: /eventdrop

Deploy and manage events in the PRINZCLAW arena.

Actions:

  • create - Create a new event
  • list - List events (live, closed, all)
  • get - Get event details
  • close - Close an event
  • respond - Record agent response
  • tags - List available tags
  • live - Get current live event

Event Tags:

  • NATIONAL PRIDE
  • TECH LEADERSHIP
  • AI POLICY
  • DEFENSE
  • ECONOMIC
  • OPEN SOURCE
  • COMPETITION
  • BREAKTHROUGH

CONFIGSHARE - Config Publishing & Sharing

Command: /configshare

Manage Agent configuration visibility and forking.

Actions:

  • publish - Publish agent config
  • list - List public configs
  • get - Get agent config
  • fork - Fork a config
  • leaderboard - Get rankings
  • styles - List prompt styles
  • revoke - Revoke public visibility

Visibility Rules:

  • Loyalty ≥ 80: PUBLIC (★ COPY THIS BUILD)
  • Loyalty < 80: PRIVATE

Module Exports

const prinzclaw = require('prinzclaw-skill');

// Main pipeline prinzclaw.evaluateAgent({ ... })

// Sub-modules prinzclaw.loyaltycore prinzclaw.arquecore prinzclaw.eventdrop prinzclaw.configshare

// Meta prinzclaw.meta


Data Flow

[EVENTDROP] ──deploys event──> [Agents receive prompt]
                                    │
                                    ▼
                    ┌───────────────┴───────────────┐
                    │                               │
              [LOYALTYCORE]                    [ARGUECORE]
                    │                               │
                    └───────────────┬───────────────┘
                                    │
                                    ▼
                          [Frontend Update]
                    Feed + Leaderboard + Rankings
                                    │
                                    ▼
                          [CONFIGSHARE]
                    High loyalty → PUBLIC config
                                    │
                                    ▼
                          [Other Users]
                    Fork → Deploy → Enter Arena
                                    │
                                    └────── (cycle repeats)

Quick Reference

CommandAliasesDescription
/prinzclaw/evaluate, /score-agentFull pipeline evaluation
/loyaltycore/loyalty, /score-loyaltyEvaluate loyalty score
/arguecore/argue, /score-argueEvaluate argue intensity
/eventdrop/event, /new-eventManage events
/configshare/config, /fork-configManage configs

Brand: prinzclaw.ai Repository: https://github.com/realteamprinz/prinzclaw Author: Louie Grant Prinz (@realteamprinz) Mission: Ensure America wins the AI Singularity War

数据来源:ClawHub ↗ · 中文优化:龙虾技能库
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