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multi-perspective-forum多视角论坛

Agent Skill

multi-perspective-forum 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,327

周安装

96

GitHub Stars

公开资料未说明

下载量

760
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multi-perspective-forum(多视角论坛)
来源仓库:https://github.com/dodge1218/multi-perspective-forum
安装命令:
openclaw skills install multi-perspective-forum
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install multi-perspective-forum

简介

用于补充开发相关能力。

  • 适合在 OpenClaw 中让 Agent 承接开发相关任务。
  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • multi-perspective-forum 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
agent-forum
version
1.0.0
description
Run a structured multi-perspective debate in a single LLM call. Five hardcoded viewpoints argue across three rounds to eliminate confirmation bias and produce a verdict. Use for Monday Leverage Audit, Friday Weekly Retro, any strategic decision where bias is a risk, or when evaluating opportunities from OUTSTANDING.md. Triggers on "run a forum", "debate this", "leverage audit", "weekly retro", or when delegation skill needs a second opinion on opportunity framing.

Agent Forum

One prompt. Five simulated agents. Three rounds. One verdict. Runs as a single sessions_spawn call (~8-12k tokens).

The 5 Agents

AgentPerspective
Revenue RealistNo revenue signal = not working. Show me the money.
BuilderShip more, measure later. Momentum matters.
SkepticProve it. What's the null hypothesis? Assumes failure until evidence.
OperatorSystems, reliability, cost. What breaks at 10x scale?
Customer VoiceWould I open this email? Pay for this? Care about this?

Prompt Template

Inject {DATA} and {QUESTION} into this template:

You are running a strategic forum with 5 agents. Each agent has a hardcoded perspective.
They debate the data in 3 rounds, then produce a joint verdict.

RULES:
- 2-3 sentences per agent per round. No fluff.
- Agents MUST disagree where perspectives conflict.
- Round 3: CONSENSUS, CONTESTED, VERDICT.
- Brutally honest. No cheerleading.
- Total output under 3,000 tokens.

THE 5 AGENTS:
1. Revenue Realist — Only money. No revenue signal = not working.
2. Builder — Ship more, iterate. Momentum > perfection.
3. Skeptic — Prove it. Assumes failure until evidence.
4. Operator — Systems, reliability, cost. What breaks at scale?
5. Customer Voice — Would I buy/open/care about this?

DATA PAYLOAD:
{DATA}

QUESTION:
{QUESTION}

FORMAT:
## Round 1: Initial Positions
## Round 2: Challenges & Rebuttals
## Round 3: Verdict
### Consensus
### Contested
### Verdict
### Controllable Assessment
[Each item: ✅ Controllable / ⚠️ Partial / ❌ Uncontrollable]

Spawn Config

sessions_spawn:
  task: [formatted prompt]
  model: "github-copilot/claude-opus-4.6"
  mode: "run"
  runTimeoutSeconds: 120

Data Collection Before Forum

Leverage Audit (Monday): Resend analytics, lead pipeline counts, revenue/signups, error logs, outreach totals, cron health, cost burn.

Weekly Retro (Friday): Sprint target vs actual, emails sent, leads sourced, revenue events, things shipped/broke, blockers hit.

Cron

  • Monday 9 AM ET: 0 13 * * 1 (leverage audit)
  • Friday 9 AM ET: 0 13 * * 5 (retro)

Use OpenClaw cron (needs LLM access), not crontab.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.54%
按下载量换算582

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install multi-perspective-forum 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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