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openclaw-context-upgradeOpenClaw context upgrade 效率

Agent Skill

openclaw-context-upgrade 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

7,152

周安装

301

GitHub Stars

公开资料未说明

下载量

2,504
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:openclaw-context-upgrade(OpenClaw context upgrade 效率)
来源仓库:https://github.com/juan-xin-cai/openclaw-context-upgrade
安装命令:
openclaw skills install openclaw-context-upgrade
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 openclaw-context-upgrade

简介

诊断并升级 OpenClaw 对话上下文限制至 1M 级别。

  • 适用于长对话记忆和复杂推理任务扩展。openclaw-context-upgrade 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 安装后可在 OpenClaw 中突破默认上下文瓶颈。
  • 使用前需确认模型支持情况和内存资源余量。
  • 建议逐步测试不同长度对话以评估稳定性。

SKILL.md

name
openclaw-context-upgrade
description
Diagnose and upgrade OpenClaw conversation context limits, especially moving a chat from ~272k to 1M. Use when the user asks to enlarge context, make GPT-5.4 use 1M context, change agents.defaults.contextTokens, verify why a chat still shows 272k after changes, or execute the full workflow of model selection + config patch + restart + fresh session + status verification.

OpenClaw Context Upgrade

Check current state first

  1. Run session_status and record:

- current model - current Context - whether the session already shows 1.0m

  1. If the user is only asking "why isn't it 1M yet", diagnose first. Do not change config blindly.

Inspect the exact config path before editing

  1. Inspect agents.defaults.contextTokens with gateway config.schema.lookup.
  2. If model selection matters, also inspect agents.defaults.model.
  3. Use gateway config.patch for changes.
  4. Do not tell the user to run openclaw CLI for this workflow.

Upgrade workflow

  1. Make sure the target session is using a high-context model.

- Prefer model alias GPT-5.4 for this workflow. - During verification, avoid relying on fallback behavior. - If needed, use session_status with a session model override to pin the current session to GPT-5.4.

  1. Raise the default context budget.

- Set agents.defaults.contextTokens = 1000000. - If the user's goal is future sessions, patch defaults. - If the user only wants diagnosis, explain the change without applying it.

  1. Let the restart happen.

- gateway config.patch restarts OpenClaw automatically. - Always include a clear note so the user gets a useful completion message after restart.

  1. Force a fresh chat session.

- Tell the user to use /new or /reset. - Old chats often keep the earlier session budget and mislead verification.

  1. Verify after the fresh session starts.

- Run session_status again. - Success looks like Context: .../1.0m or similar.

Diagnose common failure modes

Still shows .../272k

Check these in order:

  1. The chat was not restarted with /new or /reset.
  2. The session is still on the wrong model or a fallback model.
  3. The provider/model pair is returning a lower real cap.
  4. The config patch did not target agents.defaults.contextTokens correctly.

Tell the truth about limits

  • Do not promise 1M if the provider is actually returning a smaller cap.
  • OpenClaw can request a larger budget, but it cannot exceed the model/provider limit in reality.
  • If verification still shows 272k, say that plainly and explain whether the blocker is session reuse, model mismatch, or provider cap.

Default reply pattern

Use this sequence when answering:

  1. State the current observed limit.
  2. Give the exact fix order:

- pin model to GPT-5.4 - set agents.defaults.contextTokens = 1000000 - restart - /new or /reset - verify with session_status

  1. End with the caveat that provider limits still win.

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

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按下载量换算2,160

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权限和风险

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安装前确认

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来源信息

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