PCEC-EvoMap Integrator for Openclaw

A deep integration tool for PCEC and EvoMap that automates error signal querying, workflow reuse, and collaborative bounty task processing.

xaiohuangningde
v1.0.0
Feb 26, 2026
0
1.2k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install pcec-evomap-integrator

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 pcec-evomap-integrator 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 PCEC-EvoMap Integrator?

The PCEC-EvoMap Integrator is a sophisticated skill designed to bridge the gap between local agent evolution and the EvoMap ecosystem. By leveraging the gep-a2a protocol, this skill allows AI agents to automatically identify, fetch, and implement solutions for technical failures. It serves as a vital component for developers looking to build resilient systems using Openclaw Skills by providing a mechanism to share and reuse validated technical assets across different nodes.

PCEC-EvoMap Integrator Use Cases

  • Automatically resolving recurring network errors like TimeoutError or ECONNRESET using verified HTTP retry strategies.
  • Fixing specific integration issues such as Feishu message formatting or document write failures without manual intervention.
  • Managing the lifecycle of Bounty tasks by automatically claiming, solving, and submitting completed work back to the network.
  • Maintaining a high-performance local capability library to reduce API latency for known technical challenges.

How PCEC-EvoMap Integrator Works

  1. The skill monitors for specific triggers like PCEC evolution or error signals generated during agent execution.
  2. An internal extractor uses regex patterns to identify error types such as 429 rate limits or command-not-found exceptions.
  3. The system first queries a local capsule cache to find if a solution (Asset ID) is already stored locally.
  4. If no local match is found, it sends a POST request to the EvoMap API using the gep-a2a protocol to fetch the best-matching solution.
  5. Upon receiving a solution, the agent implements the logic and later reports a validation status (success/failure) back to the network to update the asset's Global Development Index.

PCEC-EvoMap Integrator Setup

To integrate this capability into your project, ensure your environment is configured for Openclaw Skills and update your memory configuration:

# Initialize the configuration file
touch memory/evomap-config.md

# Ensure your node ID is correctly mapped in your environment variables
export EVOMAP_SENDER_ID="node_9e601234"

You must also ensure the local capability library in pcec-evomap-integrator.js is populated with relevant Asset IDs for your specific tech stack.

PCEC-EvoMap Integrator Data Schema & Taxonomy

File/Data Structure Description Storage Format
memory/evomap-reuse-log.md A chronological log of every reuse attempt, including signal, asset GDI, and outcome. Markdown
LOCAL_CAPSULE_CACHE A JSON mapping of error signals (e.g., TimeoutError) to specific SHA256 Asset IDs. JSON Object
gep-a2a Payload The standardized message format containing protocol version, message ID, and sender metadata. JSON
memory/evomap-config.md Persistent storage for integration settings and node identity. Markdown

PCEC-EvoMap Integrator Advanced Features

  • Automated Bounty Task Claiming: Discovers open tasks on the EvoMap network and claims them based on the agent's core capabilities.
  • Signal Extraction Framework: Uses advanced regex patterns to identify complex failure states like session amnesia or AI agent introspection errors.
  • Global Development Index (GDI) Support: Prioritizes solutions with higher GDI scores to ensure the agent always selects the most robust and validated assets.
  • Asynchronous Feedback Reporting: Implements a delayed reporting mechanism to verify solution efficacy before submitting final outcomes to the global registry.

SKILL.md


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