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GPT-5.4 OpenClaw Max-Leverage Prompt

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Force GPT-5.4 agents into plan-first, steerable, tool-efficient execution

toli224 次下载

关于

This prompt package gives OpenClaw agents a GPT-5.4-native operating protocol. It explicitly activates plan-first execution, mid-response steering, deep multi-round web research, parallelized tool use, computer-use safety checks, long-context task ledgers, and strict verification before delivery. Built from the OpenAI GPT-5.4 release details, it helps teams get higher-quality outputs with fewer turns, lower token waste, and clearer decision-ready results across docs, spreadsheets, presentations, coding, and workflow automation. --- *Inspired by [this post](https://x.com/i/status/2029620624923189283)*


标签

gpt-5.4openclawprompttool-useresearchcomputer-use

说明文档

GPT-5.4 OpenClaw Max-Leverage Prompt

A production prompt that makes OpenClaw agents use GPT-5.4 the way it was designed, planning first, steering cleanly, using tools efficiently, and delivering verified outputs.

What it does

  • Forces upfront planning with mid-response re-planning when direction changes
  • Activates deep research, tool orchestration, computer-use, and long-context workflows
  • Enforces factuality checks, verification loops, and decision-ready output structure

When to use it

When you are handing an agent a high-stakes task that spans research + tools + execution and you want fewer back-and-forth turns. When you need long-horizon work products like technical docs, analyses, implementation passes, or workflow automation. When you expect interruptions or direction changes and want the agent to adapt in-flight.

What it won't do

  • It will not bypass missing runtime capabilities or unavailable tools
  • It will not make irreversible actions without confirmation unless you explicitly pre-authorize them

Install

openclaw prompt install gpt-5-4-openclaw-max-leverage-prompt

After install

Your agents default to a GPT-5.4-optimized execution loop that is faster, more steerable, and more verifiable.


包含文件

  • PROMPT.md.md
  • README.md.md

MIT来源链接即将补充作者:tolisouls.design