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context-relay上下文中继

Agent Skill

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。

总安装

3,369

周安装

139

GitHub Stars

公开资料未说明

下载量

1,101
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: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

简介

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。

SKILL.md

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

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

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。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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