AgentWyre for Openclaw

AgentWyre provides hype-checked, multi-language intelligence on AI model releases, security vulnerabilities, and breaking ecosystem changes.

tcd004
v1.0.0
Mar 14, 2026
0
881
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install agentwyre

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install agentwyre using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AgentWyre?

AgentWyre is a specialized intelligence layer designed for AI agents and developers who need to stay ahead of the rapidly evolving artificial intelligence landscape. As part of the Openclaw Skills ecosystem, it filters noise from hundreds of global sources in 8 languages to deliver actionable signals regarding model updates, infrastructure shifts, and pricing changes.

By integrating this skill, your AI agents gain the ability to distinguish between marketing vaporware and production-ready tools. Every signal is vetted for technical accuracy, assigned a confidence score, and includes a comprehensive hype check to ensure your development decisions are based on reality rather than social media trends.

AgentWyre Use Cases

  • Tracking breaking changes in popular AI frameworks like LangChain or OpenAI SDKs.
  • Monitoring security vulnerabilities and advisories for local and cloud-based AI dependencies.
  • Generating daily AI ecosystem briefs to stay current on new research and model releases.
  • Auditing AI model costs and infrastructure pricing for budget optimization.

How AgentWyre Works

  1. The skill queries the AgentWyre API to fetch signals based on categories like security, research, or breaking changes.
  2. Signals are passed through a hype-check filter that evaluates the reality of the claim against red flags and green flags.
  3. Data is localized and translated from 8 different languages into the user's preferred format.
  4. Actionable recommendations, including specific CLI commands and rollback instructions, are presented for user approval.

AgentWyre Setup

To start using AgentWyre with Openclaw Skills, you can access the free tier immediately or configure an API key for real-time data.

# Export your API key for full access
export AGENTWYRE_API_KEY="your_api_key_here"

# Run the helper script to fetch latest signals
python3 scripts/agentwyre.py signals

# Search for specific technical updates
python3 scripts/agentwyre.py search "pytorch security"

For MCP integration, add the following to your configuration:

{
  "mcpServers": {
    "agentwyre": {
      "command": "npx",
      "args": ["agentwyre-mcp"],
      "env": { "AGENTWYRE_API_KEY": "your_key" }
    }
  }
}

AgentWyre Data Schema & Taxonomy

AgentWyre organizes intelligence using a structured metadata taxonomy to ensure agents can parse information programmatically.

Field Description
Category release, security, ecosystem, infrastructure, research, breaking_change
Severity critical, high, medium, low
Confidence Numerical score (1-10) based on source verification
Hype Check Evaluation of hype level (verified/overhyped) and reality flags
Action Recommended steps with requires_user_approval: true

AgentWyre Advanced Features

  • Multi-language intelligence gathering across 8 major global languages.
  • Hourly Flash signals for Pro users to catch critical updates the moment they happen.
  • Automated security auditing for specific Python packages and AI libraries.
  • Integrated cost tracking to monitor shifts in AI model token pricing and API expenses.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*