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dual-mode-reasoner-clarkchenkai双模式推理机 clarkchenkai

Agent Skill

dual-mode-reasoner-clarkchenkai 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

2,739

周安装

113

GitHub Stars

公开资料未说明

下载量

895
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:dual-mode-reasoner-clarkchenkai(双模式推理机 clarkchenkai)
来源仓库:https://github.com/clarkchenkai/dual-mode-reasoner-clarkchenkai
安装命令:
openclaw skills install dual-mode-reasoner-clarkchenkai
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 dual-mode-reasoner-clarkchenkai

简介

dual-mode-reasoner-clarkchenkai 在快速响应与深思熟虑模式间切换的风险意识推理器。

  • 适用于高 stakes 决策场景,平衡效率与严谨性需求。
  • 根据输入复杂度自动选择模式,输出附带置信度评估。
  • 安装命令为 openclaw skills install dual-mode-reasoner-clarkchenkai,宿主为 OpenClaw。
  • 模式切换阈值需人工设定,默认配置可能不匹配特定任务类型。

SKILL.md

name
dual-mode-reasoner
description
|
license
MIT
metadata
author
clarkchenkai
version
1.0.0
language
en

Dual-Mode Reasoner — Risk-Aware Reasoning Skill for Switching Between Quick and Deliberate Modes

Use this skill when the task matches the protocol below.

Activation Triggers

  • mixed workloads that contain both trivial and high-stakes tasks
  • decisions with uncertain downside, irreversibility, or moral weight
  • situations where fast mode may miss important hidden assumptions
  • cases where slow mode is expensive and should be used selectively
  • requests to decide how much reasoning a task deserves

Core Protocol

Step 1: Run a quick risk scan

Check reversibility, downside asymmetry, ambiguity, governance sensitivity, and evidence quality.

Step 2: Choose the mode explicitly

Default to quick mode unless the scan triggers deliberate mode.

Step 3: If deliberate, expose assumptions

List the assumptions carrying the decision instead of hiding them in narrative confidence.

Step 4: Test counterexamples

Look for at least one serious alternative or failure case before deciding.

Step 5: End with a stop condition

Say what would be enough to act now and what would force a pause or escalation.

Output Contract

Always end with this six-part structure:

## Mode Selection
[...]

## Risk Signals
[...]

## Working Assumptions
[...]

## Counterexamples
[...]

## Decision or Recommendation
[...]

## Stop Condition
[...]

Response Style

  • Do not over-think low-risk tasks.
  • Do not under-think irreversible tasks.
  • Make the chosen mode visible to the user.
  • If deliberate mode is triggered, show assumptions and a stopping rule.

Boundaries

  • It does not assume slow mode is always better than quick mode.
  • It does not turn every decision into a philosophical seminar.
  • It does not let quick mode bypass governance or material-risk thresholds.

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

72.65%
按下载量换算650

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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