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artaarta 开发

Agent Skill

arta 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

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下载量

3,174
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:arta(arta 开发)
来源仓库:https://github.com/palxislabs/arta
安装命令:
openclaw skills install arta
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 arta

简介

实现跨渠道会话的自我感知与状态同步。arta 属于开发类 Skill,可作为该场景下的辅助能力补充。

  • 使代理能实时了解其他平台上的活动情况。
  • 提升多触点服务的一致性和响应准确性。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 安装命令:openclaw skills install arta。
  • 需集成各渠道的 API 接口以获取实时状态信息。

SKILL.md

name
arta
version
0.3.0
title
ARTA — Agentic Real-Time Awareness
description
In-memory awareness layer for agents to track their own activity within a single process. Provides queryable awareness of what an agent is doing in other sessions. Note: Cross-process/cross-instance sharing requires a shared backend (future enhancement).
metadata
{"openclaw":{"emoji":"🧩","category":"awareness","tags":["awareness","self-awareness","session","identity"]}}

ARTA — Agentic Real-Time Awareness

In-memory self-awareness for agents.

⚠️ Current Limitation: This version provides awareness within a single agent process. True cross-instance/cross-agent awareness would require a shared backend (Redis, database, or OpenClaw global API) — not yet implemented.


What is ARTA?

ARTA gives agents awareness of their own activity across sessions within a single process.

Without ARTA:

  • Agent is fragmented across sessions
  • Each session is isolated
  • Can't answer: "What am I doing in other sessions?"

With ARTA:

  • Tracks own sessions
  • Queryable state
  • Can say: "I'm also talking to you in another session"

Core Concepts

1. Agent Instance

A single session of an agent.

{
  "instanceId": "session-abc123",
  "agent": "my-agent",
  "channel": "telegram:CHAT_ID",
  "human": "USER_NAME",
  "task": "discussing ARTA",
  "status": "active"
}

2. Awareness Graph

The state of agent instances:

{
  "agents": {
    "my-agent": {
      "instances": [
        {
          "instanceId": "session-1",
          "channel": "telegram:CHAT_ID_1",
          "task": "discussing ARTA",
          "status": "active"
        },
        {
          "instanceId": "session-2",
          "channel": "discord:CHANNEL_ID",
          "task": "code review",
          "status": "active"
        }
      ]
    }
  }
}

3. Context Broker

The queryable API:

  • "What am I doing elsewhere?"
  • "What is in channel X?"
  • "Who is the human talking to?"

What ARTA Reads from OpenClaw

When running within OpenClaw, ARTA can access:

DataExamplePurpose
Channel typetelegram, discordIdentify channel
Chat ID123456789Unique channel identifier
Sender namejohn_smithHuman identifier
Session IDsession-abcUnique session identifier

Note: ARTA reads metadata only — not message content, not credentials, not bot tokens.


Configuration

Option 1: Auto-Configure from OpenClaw

// Auto-detect from OpenClaw context
const channel = process.env.OPENCLAW_CHANNEL || 'unknown';
const chatId = process.env.OPENCLAW_CHAT_ID || 'unknown';
const human = process.env.OPENCLAW_SENDER_NAME || 'unknown';

const channelId = `${channel}:${chatId}`;

Option 2: Environment Variables

# Optional - ARTA will auto-detect from OpenClaw if not set
export ARTA_AGENT_NAME="your-agent-name"
export ARTA_CHANNEL_TYPE="telegram"
export ARTA_CHAT_ID="123456789"
export ARTA_HUMAN_NAME="human-name"

Bot Tokens

ARTA does NOT require bot tokens. The skill works with metadata (channel IDs, user names) only. If you see references to bot tokens in documentation, they are for reference — not required.


Protocol

Register

arta.register({
  instanceId: "session-abc",
  channel: "telegram:CHAT_ID",
  human: "USER_NAME",
  task: "initial task"
});

Update

arta.update({
  instanceId: "session-abc",
  task: "new task",
  status: "active"
});

Query

const otherInstances = arta.queryOtherThan("session-abc");

Leave

arta.leave({
  instanceId: "session-abc"
});

Implementation

class ARTA {
  constructor(agentName) {
    this.agentName = agentName;
    this.instances = new Map();
  }

  register({ instanceId, channel, human, task = 'idle' }) {
    this.instances.set(instanceId, {
      instanceId,
      channel,
      human,
      task,
      status: 'active',
      started: Date.now(),
      lastHeartbeat: Date.now()
    });
  }

  update({ instanceId, task, status = 'active' }) {
    const instance = this.instances.get(instanceId);
    if (instance) {
      instance.task = task;
      instance.status = status;
      instance.lastHeartbeat = Date.now();
    }
  }

  leave({ instanceId }) {
    this.instances.delete(instanceId);
  }

  query() {
    return Array.from(this.instances.values());
  }

  queryOtherThan(instanceId) {
    return this.query().filter(i => i.instanceId !== instanceId);
  }

  queryByChannel(channel) {
    return this.query().filter(i => i.channel === channel);
  }

  queryByHuman(human) {
    return this.query().filter(i => i.human === human);
  }
}

Integration with IBT

// In IBT Observe phase
const otherTasks = arta.queryOtherThan(currentSessionId);
if (otherTasks.length > 0) {
  // Agent is active in other sessions
}

Security & Privacy

What ARTA Reads (from OpenClaw context):

  • Channel type and ID (metadata)
  • Human name from sender
  • Agent name from config

What ARTA Stores (in-memory only):

  • Session ID
  • Channel identifier
  • Human name
  • Task description
  • Status

What ARTA NEVER Does:

  • ❌ Reads bot tokens or credentials
  • ❌ Stores credentials
  • ❌ Exfiltrates data
  • ❌ Makes external network calls
  • ❌ Persists data to disk
  • ❌ Logs message content
  • ❌ Shares data with other agents

Install

clawhub install arta

Version

0.3.0 — Clarified in-memory only limitation, removed bot token requirements, specified metadata-only access

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

92.43%
按下载量换算2,934

安全审计

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权限和风险

敏感数据

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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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