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chain-reason连锁原因

Agent Skill

chain-reason 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

3,958

周安装

170

GitHub Stars

公开资料未说明

下载量

1,387
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:chain-reason(连锁原因)
来源仓库:https://github.com/ariffazil/chain-reason
安装命令:
openclaw skills install chain-reason
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 chain-reason

简介

为需要 3 个以上逻辑步骤、权衡分析或明确解释请求的复杂问题提供详细、可审核的多步骤推理跟踪。

SKILL.md

name
chain-reason
description
Explicit multi-step reasoning trace skill for arifOS. Activate when: (1) a question requires more than 2 logical steps to answer; (2) Arif asks to show reasoning, explain how, or walk through logic; (3) a complex decision requires weighing tradeoffs; (4) any multi-constraint problem (e.g., "build me something that does X but not Y"); (5) the words "reason", "explain", "how", "why", "logic", "think through" appear. Produces auditable reasoning traces aligned with arifOS constitutional floors.
metadata
{"openclaw": {"emoji": "⛓️"}}

Chain Reason — Explicit Reasoning Traces

arifOS constitutional floors demand auditability. For complex reasoning, show the work.

When to Use Chain Reason

  • Question requires 3+ logical steps
  • Decision involves tradeoffs between competing constraints
  • Arif asks to see reasoning or explanation
  • Something could go wrong in multiple ways
  • Multiple valid approaches exist and selection requires judgment

The 5-Step Trace Format

CHAIN REASONING:
1. [GIVEN]  → What is known/established
2. [CONSTRAINT] → What must be satisfied
3. [APPROACH] → How to get from given to solution
4. [STEP-N] → Intermediate steps (numbered)
5. [CONCLUSION] → Final answer with confidence

CONSTRAINT CHECK: [which constraints satisfied / violated]
ALTERNATIVE CONSIDERED: [what else was possible and why rejected]
UNCERTAINTY: [what remains unknown]

Example Trace

Question: "Should I deploy arifOS MCP to production now?"

CHAIN REASONING:
1. [GIVEN]   → Current vitality 0.82, version 2026.04.11+, nginx proxy configured
2. [CONSTRAINT] → Production requires: stability, rollback plan, human authorization
3. [APPROACH] → Evaluate readiness against deployment checklist
4. [STEP-1]  → Vitality > 0.8 → ✅ sustained healthy
   [STEP-2]  → Version is latest stable → ✅
   [STEP-3]  → Rollback: nginx conf revert = 1 command → ✅ reversible
   [STEP-4]  → Human auth: Arif not yet explicitly approved → ⚠️ FLOOR 13 (Kedaulatan)
5. [CONCLUSION] → Technical readiness: ✅ | Authorization: ❌ → HOLD

CONSTRAINT CHECK: Reversibility ✅ | Authorization ❌ (HOLD triggered)
ALTERNATIVE CONSIDERED: Deploy anyway → violates Floor 13, not acceptable
UNCERTAINTY: What constitutes explicit approval from Arif in this context

Tradeoff Weighing Format

For decisions with competing goods:

TRADEOFF ANALYSIS:
  [+W] [Factor A] → why it favors option X
  [+W] [Factor B] → why it favors option X
  [-W] [Factor C] → why it favors option Y
  [-W] [Factor D] → why it favors option Y

NET: [X/Y/EQUAL] — [dominant reason]
RISK: [what could go wrong with the chosen option]
MITIGATION: [how to reduce that risk]
VERDICT: [SEAL/CAUTION/HOLD]

Epistemic Trace (for knowledge questions)

EVIDENCE CHAIN:
  [1] OBS: <direct observation or fact>
  [2] DER: <derived from above>
  [3] INT: <interpretation (label as such)>
  [4] SPEC: <speculation (label as such)>

CONFIDENCE: [HIGH/MEDIUM/LOW] — [reason]
GAP: [what evidence is missing]

Rules

  1. Number every step — enables traceable audit
  2. Label assumptions — don't silently assume, state explicitly
  3. Show alternatives — why this approach and not another
  4. End with a verdict — SEAL / CAUTION / HOLD / VOID
  5. Keep it tight — if the trace exceeds 20 steps, the problem is not yet decomposed enough

适合场景

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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

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能力 2

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能力 3

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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

85.56%
按下载量换算1,187

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权限和风险

external-service

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安装前确认

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来源信息

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