MCPInstall

world2agent-protocol

Install and use World2Agent (W2A) sensors to give AI agents structured, real-time perception of the real world

Installs
173
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/reason-machines/ai-agent-skills --skill world2agent-protocol
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads world2agent-protocol automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

World2Agent Protocol Skill

Skill by ara.so — AI Agent Skills collection.

What is World2Agent?

World2Agent (W2A) is an open protocol that standardizes how AI agents perceive the real world. Sensors watch data sources (news feeds, production alerts, market data, etc.) and emit structured signals following the W2A schema. Your agent receives these signals and decides what to do.

Architecture: World → Sensor → Agent

  • Sensors are npm packages that watch external data sources
  • Signals are structured JSON events following the W2A protocol
  • Agents consume signals via runtime plugins or direct SDK integration

Installation

For Claude Code

/plugin marketplace add machinepulse-ai/world2agent-plugins
/plugin install world2agent@world2agent-plugins
/reload-plugins

Add a sensor:

/world2agent:sensor-add @world2agent/sensor-hackernews

Restart with plugin channel:

claude --dangerously-load-development-channels plugin:world2agent@world2agent-plugins

For Hermes

npm install -g @world2agent/hermes-sensor-bridge
hermes skills install machinepulse-ai/world2agent-plugins/hermes-sensor-bridge/skills/world2agent-manage

In Hermes session:

/world2agent-manage add @world2agent/sensor-hackernews

For OpenClaw

npm install -g @world2agent/openclaw-sensor-bridge
openclaw skills install world2agent-manage

Then in chat:

Use world2agent-manage skill install @quill-io/sensor-frontier-ai-news

Direct SDK Integration (TypeScript/Node.js)

npm install @world2agent/core
npm install @world2agent/sensor-hackernews

Core Concepts

Signal Format

Every W2A signal follows this schema:

{
  "signal_id": "uuid-v4",
  "sensor_id": "@world2agent/sensor-hackernews",
  "timestamp": "2026-05-17T10:30:00Z",
  "type": "news.hackernews.story",
  "priority": "medium",
  "data": {
    "title": "Show HN: World2Agent Protocol",
    "url": "https://news.ycombinator.com/item?id=123456",
    "score": 340,
    "author": "machinepulse"
  },
  "metadata": {
    "ttl": 3600,
    "schema_version": "1.0"
  }
}

Key Fields

  • signal_id: Unique identifier for deduplication
  • sensor_id: npm package name of the sensor
  • type: Hierarchical type (category.source.event)
  • priority: critical | high | medium | low
  • data: Sensor-specific payload
  • metadata.ttl: Signal lifetime in seconds

Using the SDK

Basic Signal Consumption

import { W2AClient } from '@world2agent/core';
import HackerNewsSensor from '@world2agent/sensor-hackernews';

const client = new W2AClient();

// Register sensor
await client.registerSensor(new HackerNewsSensor({
  minScore: 100,
  keywords: ['AI', 'agents', 'protocol']
}));

// Listen for signals
client.on('signal', (signal) => {
  console.log(`[${signal.priority}] ${signal.type}`);
  console.log(signal.data);
  
  // Your agent logic here
  if (signal.priority === 'high') {
    handleUrgentSignal(signal);
  }
});

// Start receiving signals
await client.start();

Signal Filtering

import { W2AClient, SignalFilter } from '@world2agent/core';

const client = new W2AClient();

// Filter by type pattern
const newsFilter = new SignalFilter({
  typePattern: /^news\./,
  minPriority: 'medium'
});

client.on('signal', newsFilter.apply((signal) => {
  // Only news signals with medium+ priority
  processNewsSignal(signal);
}));

Multi-Sensor Setup

import { W2AClient } from '@world2agent/core';
import HackerNewsSensor from '@world2agent/sensor-hackernews';
import FrontierAISensor from '@quill-io/sensor-frontier-ai-news';
import WeatherSensor from '@world2agent/sensor-weather';

const client = new W2AClient();

// Register multiple sensors
await client.registerSensor(new HackerNewsSensor({ minScore: 200 }));
await client.registerSensor(new FrontierAISensor({ labs: ['openai', 'anthropic'] }));
await client.registerSensor(new WeatherSensor({ 
  location: 'San Francisco',
  alerts: true 
}));

// Route by type
client.on('signal', (signal) => {
  if (signal.type.startsWith('news.')) {
    routeToNewsHandler(signal);
  } else if (signal.type.startsWith('weather.')) {
    routeToWeatherHandler(signal);
  }
});

await client.start();

Building a Custom Sensor

Minimal Sensor Structure

// my-sensor/src/index.ts
import { BaseSensor, Signal } from '@world2agent/core';

export default class MySensor extends BaseSensor {
  constructor(config: { apiKey?: string } = {}) {
    super({
      id: '@myorg/sensor-example',
      name: 'Example Sensor',
      version: '1.0.0'
    });
    this.apiKey = config.apiKey || process.env.EXAMPLE_API_KEY;
  }

  async start() {
    // Poll every 60 seconds
    this.interval = setInterval(() => this.poll(), 60000);
    await this.poll();
  }

  async stop() {
    if (this.interval) clearInterval(this.interval);
  }

  private async poll() {
    const data = await this.fetchData();
    
    for (const item of data) {
      const signal: Signal = {
        signal_id: crypto.randomUUID(),
        sensor_id: this.config.id,
        timestamp: new Date().toISOString(),
        type: 'example.data.update',
        priority: item.urgent ? 'high' : 'medium',
        data: {
          title: item.title,
          value: item.value
        },
        metadata: {
          ttl: 3600,
          schema_version: '1.0'
        }
      };
      
      this.emit(signal);
    }
  }

  private async fetchData() {
    const response = await fetch('https://api.example.com/data', {
      headers: { 'Authorization': `Bearer ${this.apiKey}` }
    });
    return response.json();
  }
}

Package.json for Sensors

{
  "name": "@myorg/sensor-example",
  "version": "1.0.0",
  "description": "W2A sensor for Example API",
  "keywords": ["w2a-sensor", "world2agent", "example"],
  "main": "dist/index.js",
  "types": "dist/index.d.ts",
  "scripts": {
    "build": "tsc",
    "prepublishOnly": "npm run build"
  },
  "dependencies": {
    "@world2agent/core": "^1.0.0"
  },
  "devDependencies": {
    "typescript": "^5.0.0"
  }
}

SETUP.md for Interactive Configuration

# Setup Questions

## API Key
**prompt:** What is your Example API key?
**env:** EXAMPLE_API_KEY
**required:** true

## Update Interval
**prompt:** Poll interval in seconds (default: 60)?
**env:** EXAMPLE_POLL_INTERVAL
**default:** 60

Configuration Patterns

Environment Variables

# .env
EXAMPLE_API_KEY=sk-xxxxxxxxxxxx
HACKERNEWS_MIN_SCORE=150
WEATHER_LOCATION=London
import { W2AClient } from '@world2agent/core';
import { config } from 'dotenv';

config(); // Load .env

const client = new W2AClient();

await client.registerSensor(new HackerNewsSensor({
  minScore: parseInt(process.env.HACKERNEWS_MIN_SCORE || '100')
}));

Runtime Configuration

import { W2AClient } from '@world2agent/core';

const client = new W2AClient({
  maxSignalsPerSecond: 10,
  deduplication: true,
  persistSignals: './signals.log'
});

// Update sensor config at runtime
await client.updateSensorConfig('@world2agent/sensor-hackernews', {
  minScore: 250,
  keywords: ['AI', 'machine learning']
});

Common Patterns

Signal Deduplication

import { W2AClient, Deduplicator } from '@world2agent/core';

const client = new W2AClient();
const dedup = new Deduplicator({ windowMs: 60000 }); // 1 minute window

client.on('signal', (signal) => {
  if (dedup.isNew(signal.signal_id)) {
    processSignal(signal);
  }
});

Priority-Based Routing

client.on('signal', async (signal) => {
  switch (signal.priority) {
    case 'critical':
      await notifyPagerDuty(signal);
      await handleImmediate(signal);
      break;
    case 'high':
      await queueForProcessing(signal);
      break;
    default:
      await logSignal(signal);
  }
});

Webhook Integration

import express from 'express';
import { W2AClient } from '@world2agent/core';

const app = express();
const client = new W2AClient();

app.post('/webhook/w2a', express.json(), (req, res) => {
  const signal = req.body;
  
  // Validate signature
  if (!client.validateSignature(signal, req.headers['x-w2a-signature'])) {
    return res.status(401).send('Invalid signature');
  }
  
  // Process signal
  client.ingestSignal(signal);
  res.status(200).send('OK');
});

app.listen(3000);

Persistent Signal Log

import fs from 'fs/promises';
import { W2AClient } from '@world2agent/core';

const client = new W2AClient();
const logPath = './signals.jsonl';

client.on('signal', async (signal) => {
  // Append to newline-delimited JSON log
  await fs.appendFile(logPath, JSON.stringify(signal) + '\n');
  
  // Your processing logic
  await processSignal(signal);
});

Finding Sensors

Browse SensorHub

Visit https://world2agent.ai/hub to browse the full catalog.

CLI Search

npm search w2a-sensor

Popular Sensors

  • @world2agent/sensor-hackernews — Hacker News top stories
  • @quill-io/sensor-frontier-ai-news — AI lab announcements (OpenAI, Anthropic, etc.)
  • @world2agent/sensor-weather — Weather alerts and forecasts
  • @world2agent/sensor-github — Repository events and releases
  • @world2agent/sensor-reddit — Subreddit posts and trends

Troubleshooting

Signals Not Flowing

Check sensor status:

const status = client.getSensorStatus('@world2agent/sensor-hackernews');
console.log(status); // { running: true, lastSignal: '2026-05-17T10:30:00Z' }

Enable debug logging:

const client = new W2AClient({ logLevel: 'debug' });

Verify sensor is started:

await client.start(); // Starts all registered sensors

Duplicate Signals

Enable built-in deduplication:

const client = new W2AClient({ deduplication: true });

Or implement custom logic:

const seen = new Set<string>();

client.on('signal', (signal) => {
  if (seen.has(signal.signal_id)) return;
  seen.add(signal.signal_id);
  
  processSignal(signal);
});

Rate Limiting

Throttle signal processing:

import pThrottle from 'p-throttle';

const throttle = pThrottle({ limit: 5, interval: 1000 }); // 5/sec

const throttledProcess = throttle(async (signal) => {
  await processSignal(signal);
});

client.on('signal', throttledProcess);

Sensor Crashes

Wrap sensor registration with error handling:

try {
  await client.registerSensor(new MySensor({ apiKey: process.env.API_KEY }));
} catch (error) {
  console.error('Sensor registration failed:', error);
  // Fall back or retry
}

client.on('sensor-error', (sensorId, error) => {
  console.error(`Sensor ${sensorId} error:`, error);
  // Implement restart logic
});

Missing Environment Variables

Validate before sensor initialization:

const requiredEnv = ['EXAMPLE_API_KEY', 'HACKERNEWS_MIN_SCORE'];

for (const key of requiredEnv) {
  if (!process.env[key]) {
    throw new Error(`Missing required environment variable: ${key}`);
  }
}

Advanced: Graph Layer (Experimental)

Compose and enrich signals from multiple sensors before they reach your agent:

import { W2AGraph } from '@world2agent/graph';

const graph = new W2AGraph();

// Merge HN and Reddit signals about the same topic
graph.addRule({
  inputs: ['news.hackernews.*', 'news.reddit.*'],
  merge: (signals) => ({
    type: 'news.aggregated.topic',
    data: {
      sources: signals.map(s => s.sensor_id),
      combined_score: signals.reduce((sum, s) => sum + s.data.score, 0)
    }
  }),
  window: 300 // 5 minutes
});

graph.on('enriched-signal', (signal) => {
  // Receives merged signals
});

See RFC for details.

Resources

License

Apache 2.0

FAQ

What does the world2agent-protocol skill do?

Install and use World2Agent (W2A) sensors to give AI agents structured, real-time perception of the real world

How do I install world2agent-protocol?

Run npx skills add https://github.com/reason-machines/ai-agent-skills --skill world2agent-protocol in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/world2agent-protocol/ (personal) or .claude/skills/world2agent-protocol/ (project).

Which AI agents can use world2agent-protocol?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is world2agent-protocol safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains world2agent-protocol?

It is published by reason-machines in reason-machines/ai-agent-skills. It has 173 recorded installs.

More from reason-machines/ai-agent-skills

View all →

agency-agents-zh-skill

reason-machines/ai-agent-skills

Open the skill to read its SKILL.md instructions.

AI & Agents322 installs

agent-reach-internet-access

reason-machines/ai-agent-skills

Open the skill to read its SKILL.md instructions.

AI & Agents228 installs

agent-sprite-forge-2d-game-assets

reason-machines/ai-agent-skills

Open the skill to read its SKILL.md instructions.

Media & Creative216 installs

agentmemory-persistent-memory

reason-machines/ai-agent-skills

Add persistent memory to AI coding agents using agentmemory - remembers context, preferences, and decisions across sessions

AI & Agents216 installs

awesome-agent-skills

reason-machines/ai-agent-skills

Open the skill to read its SKILL.md instructions.

AI & Agents214 installs

oh-my-openagent-orchestration

reason-machines/ai-agent-skills

Open the skill to read its SKILL.md instructions.

AI & Agents211 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs