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Agent Skill · 效率

context-relay(上下文中继)

context-relay 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。

context-relay 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 14,516。

总安装 3,369周安装 139GitHub Stars 公开资料未说明下载 1,101核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:context-relay(上下文中继)
来源仓库:https://github.com/openlark/context-relay
安装命令:
openclaw skills install context-relay
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 context-relay

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

解决了会话重启期间 Agent 的内存碎片问题、子 Agent 边界以及 cron/heartbeat 隔离等问题。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install context-relay;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

context-relay 怎么安装?

在终端执行 openclaw skills install context-relay。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

context-relay 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

context-relay 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install context-relay 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

context-relay 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

context-relay 用的人多吗?

公开数据是累计安装 3,369 次,近一周安装 139 次,下载 1,101 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

context-relay 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
context-relay

上下文中继 · 本页

3,369—执行命令MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
context-relay
description
Solves the memory fragmentation problem for Agents during session restarts, sub-agent boundaries, and cron/heartbeat isolation.

Context Relay - Cross-Session Memory Continuity System

Files are the single source of truth. Each execution unit reads context from files at startup, without relying on session memory. Suitable for Agents that need to maintain task continuity across sessions.

Trigger Words

  • Memory fragmentation
  • Cross-session
  • Context passing
  • context relay
  • session restart
  • sub-agent communication
  • persistent context
  • project state management
  • cold start

Core Principle

Files are the single source of truth.

Agents lose session memory in the following scenarios:

  • Session restart (app restart, timeout disconnection)
  • Sub-agent boundaries (newly spawned agents lack parent session memory)
  • Cron/Heartbeat isolation (scheduled tasks and heartbeats are independent sessions)

Solution: Each execution unit reads context from files at startup and writes back to files when finished. Files are memory.

Three-Layer Context Architecture

project/
├── PROJECT.md        # Project metadata (long-term stable)
├── state.json        # Current state (frequently updated)
├── decisions.md      # Architecture decision records (append-only)
└── todos.json        # Self-managed todo list (cross-session tracking)

Layer 1: PROJECT.md (Project Identity)

Purpose: Defines "who I am," long-term stable, rarely modified.

Content Template:

# Project Name

## One-Line Description
[What this project is, what problem it solves]

## Tech Stack
- Frontend:
- Backend:
- Database:
- Deployment:

## Directory Structure
/src        - Source code
/docs       - Documentation
/tests      - Tests

## Key Constraints
[Rules that must be followed, such as API compatibility, performance requirements]

## Related Documents
- Architecture decisions: decisions.md
- Current state: state.json
- Todo items: todos.json

Layer 2: state.json (Current State)

Purpose: Defines "where I am," frequently updated, records current progress.

Content Template:

{
  "phase": "development",
  "current_task": "Implement user authentication module",
  "progress": {
    "completed": ["Database design", "API design"],
    "in_progress": "Login endpoint development",
    "blocked": [],
    "next_steps": ["Registration endpoint", "Password reset"]
  },
  "last_update": "2026-04-20T10:00:00+08:00",
  "session_id": "abc123",
  "notes": "Encountering CORS issues, need to configure proxy"
}

Layer 3: decisions.md (Decision Records)

Purpose: Defines "why," append-only, never deleted.

Content Template:

# Architecture Decision Records

## ADR-001: Use JWT for Authentication
- Date: 2026-04-15
- Status: Accepted
- Context: Need a stateless authentication scheme
- Decision: Use JWT + refresh tokens
- Consequences: Must handle token expiration and revocation

## ADR-002: Choose PostgreSQL as Primary Database
- Date: 2026-04-16
- Status: Accepted
- Context: Need support for complex queries and transactions
- Decision: Use PostgreSQL
- Consequences: Must learn PostgreSQL-specific syntax

todos.json (Self-Managed Todo System)

Purpose: Agent-managed todo list for cross-session tracking.

Content Template:

{
  "todos": [
    {
      "id": "TODO-001",
      "title": "Complete user authentication module",
      "priority": "high",
      "status": "in_progress",
      "created": "2026-04-20T09:00:00+08:00",
      "updated": "2026-04-20T10:00:00+08:00",
      "notes": "Implementing login endpoint"
    },
    {
      "id": "TODO-002",
      "title": "Write unit tests",
      "priority": "medium",
      "status": "pending",
      "created": "2026-04-20T09:00:00+08:00",
      "updated": null,
      "notes": ""
    }
  ],
  "last_review": "2026-04-20T10:00:00+08:00"
}

Operation Rules:

  • Start task: Change status to in_progress
  • Complete task: Change status to completed, record completed_at
  • Blocked task: Change status to blocked, explain reason in notes
  • Each session start: Check last_review; if over 24 hours, review all todos

Workflow

On Startup: Cold Start Procedure

Execute at the start of each new session/sub-agent/cron job:

1. Read PROJECT.md → Understand project identity
2. Read state.json → Understand current progress
3. Read todos.json → Understand pending tasks
4. If decision context is needed → Read decisions.md
5. Begin work

Critical: Do not assume any memory. All context must be read from files.

On Completion: State Synchronization

Execute before ending each work session:

1. Update state.json → Record current progress
2. If new decisions were made → Append to decisions.md
3. If todos changed → Update todos.json
4. Commit file changes

Critical: Files must be written before the session ends to ensure the next execution unit can read the latest state.

Sub-Agent Communication

Parent and child agents communicate context via files:

Parent agent:
1. Update state.json (current task, expected output)
2. Spawn child agent

Child agent:
1. Read state.json → Understand task
2. Execute task
3. Update state.json (results, progress)
4. End

Parent agent:
1. Read state.json → Retrieve results
2. Continue work

Note: Child agents have no memory of the parent session; they can only communicate via files.

Reference Resources

Script Tools

  • scripts/init_context.py - Initialize the context file structure in a project directory

平台分布

OpenClaw

95.36%
按下载量换算1,050

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install context-relay 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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