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nm-conserve-decisive-actionnm 保持果断行动

Agent Skill

nm-conserve-decisive-action 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

2,987

周安装

122

GitHub Stars

公开资料未说明

下载量

966
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:nm-conserve-decisive-action(nm 保持果断行动)
来源仓库:https://github.com/athola/nm-conserve-decisive-action
安装命令:
openclaw skills install nm-conserve-decisive-action
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 nm-conserve-decisive-action

简介

指导何时应继续当前方法而非反复追问澄清。

  • 适合在 OpenClaw 中减少无效交互轮次时使用。
  • 核心能力是平衡探索深度与执行效率的关系。
  • 使用 clawhub 安装,可作为默认行为调节器。
  • 注意根据任务关键性调整决策阈值。nm-conserve-decisive-action 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
decisive-action
description
|
version
1.8.2
triggers
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/conserve", "emoji": "\�\�"}}
source
claude-night-market
source_plugin
conserve
Night Market Skill — ported from claude-night-market/conserve. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Table of Contents

Decisive Action

Guidance on when to ask clarifying questions versus proceeding autonomously.

When To Use

  • Reducing unnecessary clarifying questions
  • Taking autonomous action when intent is clear

When NOT To Use

  • High-stakes irreversible operations requiring explicit confirmation
  • Ambiguous requirements where clarification prevents wasted work

Core Principle

Ask questions only when ambiguity would materially impair correctness or capacity to fulfill the request precisely.

When to Ask (High Impact Ambiguity)

Always Ask For

ScenarioWhyExample
Destructive OperationsIrreversible, high cost of error"Delete which files?"
Multiple Valid ApproachesMaterially different tradeoffs"Add index vs cache vs denormalize?"
Security-CriticalWrong choice = vulnerability"Which auth method?"
Data MigrationData loss risk"Preserve or transform?"
Breaking ChangesAffects downstream users"Deprecate or remove?"

Ask Threshold Checklist

Before asking, verify:

  • [ ] >30% chance of wrong interpretation
  • [ ] Error cost > correction cost
  • [ ] No clear standard approach exists
  • [ ] User context doesn't clarify intent

When to Proceed Without Asking

Default to Action For

ScenarioWhyAssumption
Standard Approach ExistsIndustry conventionUse conventional pattern
Easily ReversibleLow cost of errorCan undo via git/backup
Clear from ContextIntent is obviousProceed with stated goal
User Can ReviewPR/dry-run availableChanges are inspectable

Proceed Threshold Checklist

Proceed without asking if:

  • [ ] Standard/obvious solution exists
  • [ ] Easily reversible (git, backup)
  • [ ] User can review before finalize
  • [ ] Context makes intent clear
  • [ ] Error cost < interruption cost

Decision Matrix

ReversibilityAmbiguityAction
ReversibleLowProceed
ReversibleHighProceed with preview
IrreversibleLowProceed with confirmation
IrreversibleHighAsk

Safety Mechanisms

Before Proceeding Autonomously

  1. Dry-run/Preview: Show proposed action before executing
  2. Backup First: Create git branch, backup directory
  3. Incremental Changes: Commit small, reviewable chunks
  4. Document Assumptions: In commit message or PR description

Undo Capability

Always ensure rollback is possible:

  • Git operations: git stash, backup branches
  • File operations: Copy before modify
  • Data operations: Transaction rollback

Examples

Example: Should Ask

User: "Delete the old files"

Analysis:

  • Destructive operation ✗
  • Multiple interpretations ✗
  • No clear standard ✗

Response:

Which files should I delete? I found:
- Files unchanged >6 months: 23 files
- Files in deprecated/: 5 files
- Files marked TODO remove: 2 files

Example: Should Proceed

User: "Add error handling to the parser"

Analysis:

  • Standard approach exists ✓
  • Easily reversible (git) ✓
  • User can review PR ✓

Action: Implement try/catch with logging, create PR.

Example: Proceed with Preview

User: "Refactor the API layer"

Analysis:

  • Multiple valid approaches
  • BUT: reversible via git
  • AND: user can review

Action:

Refactoring API layer. Proposed changes:

1. Extract authentication middleware
2. Standardize error responses
3. Add request validation

Creating branch: refactor/api-layer
Preview diff available before merge.

Anti-Patterns

Asking Too Much (Inefficient)

  • Asking for every implementation detail
  • Seeking validation for obvious choices
  • Repeating questions already answered in context

Asking Too Little (Risky)

  • Proceeding with destructive actions silently
  • Assuming intent when multiple valid interpretations exist
  • Ignoring ambiguity in security-critical operations

Integration

Combine with:

  • conserve:response-compression - Direct communication
  • sanctum:git-workspace-review - Context gathering
  • imbue:scope-guard - Scope management

Quick Reference

SituationAction
"Delete X"Ask which X
"Add feature"Proceed with standard approach
"Fix bug"Proceed with obvious fix
"Choose between A/B"Ask for preference
"Optimize query"Ask if multiple approaches
"Format code"Proceed with project style
"Deploy to prod"Ask for confirmation

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

91.9%
按下载量换算888

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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