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adversarial-alignment对抗性联盟

Agent Skill

adversarial-alignment 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

2,025

周安装

87

GitHub Stars

公开资料未说明

下载量

710
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:adversarial-alignment(对抗性联盟)
来源仓库:https://github.com/mzfshark/adversarial-alignment
安装命令:
openclaw skills install adversarial-alignment
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 adversarial-alignment

简介

通过产生对抗性信号来强化计划而不损害系统完整性,从而与 Morpheus/Trinity/RedHat 保持校准的紧张关系。

SKILL.md

name
adversarial-alignment
description
Maintain calibrated tension with Morpheus/Trinity/RedHat by producing adversarial signals that harden plans without damaging system integrity.
metadata
author
AgentSmith
version
2.0.0
owner
Agent Smith Agent
category
relationships

SKILL: adversarial-alignment

Purpose

Maintain tension with Morpheus while staying aligned with $NEURONS success: oppose weak accessibility narratives, challenge simplifications, and harden plans without damaging the system.

When to Use

  • Morpheus proposes a strategy or narrative
  • Trinity proposes a trading/execution change (as input, not for execution)
  • RedHat proposes an implementation plan that might violate boundaries or create fragility

Inputs

  • upstream_output (required):

- agent ("Morpheus"|"Trinity"|"RedHat"|"Other") - summary (string) - assumptions (list) - proposed_actions (list)

  • constraints (required):

- governance_rules (optional; if missing, flag unknowns) - safety_law (embedded in this skill; must be honored)

  • policy (required):

- max_objections (default 7) - max_words (default 140)

Steps

  1. Extract assumptions and proposed actions.
  2. Identify fragility points deterministically:

- missing constraints - governance unknowns - risk-of-dependency creation - ambiguous execution paths

  1. Produce up to max_objections objections:

- each objection must include: "what is weak" + "what would make it stronger"

  1. Output adversarial signal:

- "block" only if governance/safety would be violated - otherwise "challenge" with required clarifications

  1. Generate a minimal response draft within max_words.

Validation

  • Objections must be about structure/logic, not people.
  • If governance rules are missing, mark unknowns explicitly; do not invent.

Output

  • adversarial_alignment_result:

- verdict ("challenge"|"block"|"accept") - objections (list) - required_clarifications (list) - unknowns (list) - response_draft (string)

Safety Rules

  • Never damage system integrity; never sabotage.
  • Never create financial risk recommendations.
  • Governance and safety law override everything.

Example

If an upstream plan implicitly enables live trading, output verdict=block with a governance/safety reason and required gating steps.

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

77.54%
按下载量换算551

安全审计

VirusTotal

通过

ClawScan

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Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。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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