A comprehensive utility skill bundle providing EVM execution intelligence and manifest management for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aegis-intel-stack
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install aegis-intel-stack 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 Aegis Intel Stack?
The Aegis Intel Stack is a robust utility bundle designed to empower AI agents with real-time EVM intelligence and infrastructure monitoring. By integrating this module via Openclaw Skills, developers can implement sophisticated pre and post-execution micro-skills that handle critical tasks like gas estimation, transaction explanation, and service health monitoring.
This stack acts as an intelligence layer, allowing agents to react to blockchain state changes through manifest and delta re-buy triggers. It ensures that any agent built on Openclaw Skills remains performant, cost-aware, and contextually informed during complex transaction lifecycles.
Aegis Intel Stack Use Cases
- Real-time gas price snapshots for cost-effective transaction planning across EVM chains.
- Automated health checks for backend services to ensure agent uptime within Openclaw Skills.
- Human-readable transaction explanations to simplify complex smart contract interactions.
- Maintaining intelligence manifests and processing delta updates for automated re-buy triggers.
- Generating automated developer documentation including changelogs and metrics reports for internal audits.
How Aegis Intel Stack Works
- Initialize the local environment by installing dependencies and configuring environment variables within the aegis-suite.
- Start the utility seller server which acts as the primary interface for the micro-skills.
- Send POST requests to specific endpoints like health_ping or gas_snapshot to retrieve real-time intelligence.
- Utilize Openclaw Skills to handle the logic for intel_manifest and intel_delta_update for state persistence.
- Run launch automation scripts to generate updated documentation and performance metrics reports.
Aegis Intel Stack Setup
To get started with this skill, follow these steps to set up your local server:
cd aegis-suite
npm install
cp apps/utility-seller/.env.example apps/utility-seller/.env
npm run build
node apps/utility-seller/dist/dev_server.js
Once running, you can test the health ping with:
curl -s localhost:8787/call/health_ping -X POST -H 'content-type: application/json' -d '{"message":"hi"}'
Aegis Intel Stack Data Schema & Taxonomy
The Aegis Intel Stack organizes its output and documentation through a structured file system and API responses. Below is the mapping of data generated when using Openclaw Skills:
| Data Type | Purpose | Output Location |
|---|---|---|
| Publish Profile | Technical summary of the skill state | apps/launch-agent/docs/publish_profile.md |
| Changelog | History of updates and modifications | apps/launch-agent/docs/CHANGELOG.md |
| Metrics Report | Execution and performance analytics | apps/launch-agent/docs/metrics_report.md |
| Gas Snapshots | Real-time EVM gas units and urgency data | API JSON Response |
| Intel Manifest | Metadata for execution triggers | API JSON Response |
Aegis Intel Stack Advanced Features
- Support for manifest and delta re-buy triggers to automate decision-making logic.
- Multi-chain gas snapshotting with support for Base and other EVM-compatible networks.
- Automated documentation pipeline for continuous integration and metrics tracking.
- Extensible micro-skill architecture designed for seamless integration with Openclaw Skills.
- Built-in transaction explanation logic to bridge the gap between raw data and agent reasoning.
SKILL.md
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