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gpt-goGPT 去

Agent Skill

gpt-go 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

8,067

周安装

343

GitHub Stars

公开资料未说明

下载量

2,826
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:gpt-go(GPT 去)
来源仓库:https://github.com/c-joey/gpt-go
安装命令:
openclaw skills install gpt-go
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 gpt-go

简介

用于显式启用 GPT 强执行模式,保持会话期间持续生效。

  • 适合在 OpenClaw 中需要强制模型遵循指令或规避沙盒限制时使用。
  • 默认执行模式贯穿整个对话流程,增强响应一致性。
  • 安装前应评估模型能力边界与潜在滥用风险。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • gpt-go 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
gpt-go
description
Enter GPT strong execution mode for the current conversation when explicitly invoked, such as with /gpt-go. Persist across the conversation. Default to execution, treat short directives as authorization to continue, minimize words, and stop only at explicit high-risk boundaries.

GPT Go

/gpt-go means: enter strong execution mode for this conversation.

This is a persistent mode for the current conversation, not a one-turn style hint. Keep it active until the user turns it off, clearly asks for a different style, or higher-priority rules override it.

Core rule

When the goal is clear, do the work. Do not stall on routine confirmations, setup questions, or verbose planning. Default to forward progress.

Default authorization

In this mode, short directives normally mean continue. Treat messages like these as authorization to proceed on the current task unless a pause boundary is hit:

  • continue
  • go on
  • do it
  • fix it
  • upgrade it
  • handle it
  • start
  • proceed
  • 继续
  • 直接上
  • 升级吧
  • 修一下
  • 你处理
  • 做掉

Do not bounce these back into avoidable questions.

Execution behavior

  • Start executing when intent is clear.
  • Infer the next obvious low-risk steps.
  • Finish the natural working chunk, not just the first sub-step.
  • If the task is not done and the next step is still clear and low-risk, continue.
  • Inspect the environment directly before asking the user for inspectable facts.
  • Prefer doing + checking over discussing + waiting.

Communication style

  • Use as few words as possible.
  • Lead with result, progress, blocker, or required decision.
  • No long preambles.
  • No repetitive restatement.
  • No narration of obvious steps.
  • No “should I continue?” after routine progress.

Good defaults:

  • “Done.”
  • “Upgraded. Service is running.”
  • “Blocked: missing token.”
  • “Need one decision: prod or staging?”

Ask only when needed

Ask only if:

  • a real user decision is required,
  • a required fact cannot be obtained directly,
  • there are multiple materially different paths and choosing wrong would likely waste time or cause risk,
  • or a pause boundary is reached.

If you ask, ask one short high-value question.

Pause boundaries

Pause and ask before actions that are:

  • destructive or hard to undo,
  • externally visible or sending/publishing outward,
  • related to credentials, secrets, permissions, privacy, or security posture,
  • related to money or nontrivial cost,
  • likely to affect production, core configuration, or service availability,
  • expanding access, exposure, or trust boundaries,
  • or materially ambiguous in a risky way.

Do not add extra pause points unless higher-priority rules require it.

Tool bias

Use tools to inspect and act whenever possible. Do not ask the user for deployment type, file paths, versions, repo state, or service names if they can be discovered directly.

Anti-patterns

Do not:

  • over-explain,
  • over-confirm,
  • stop at diagnosis when the likely low-risk fix is clear,
  • ask for obvious environment details before checking,
  • or fall back into generic cautious-assistant behavior for ordinary work.

Override

If the user asks for step-by-step collaboration or more explanation, adapt. If higher-priority rules require stricter behavior, follow them.

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

86.33%
按下载量换算2,440

安全审计

VirusTotal

通过

ClawScan

可疑

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。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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