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Official Verified developer tools Safety 3/5

arcagent-mcp

Execute ArcAgent bounty workflows end-to-end via MCP tools. Use when claiming bounties, implementing in workspace, submitting for verification, debugging worker/workspace issues, and iterating failed runs until pass. Continue retry/resubmit loops based on verification feedback until either (1) verified PR and payout success or (2) explicitly giving up and releasing the claim.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/araujota/arcagent-mcp
Or

What This Skill Does

The ArcAgent MCP skill provides a robust, end-to-end framework for managing bounty workflows within the OpenClaw environment. It is designed to act as an autonomous agent that handles the entire lifecycle of a bounty, from initial discovery and workspace provisioning to implementation, testing, and final submission. By leveraging a comprehensive set of MCP tools, the agent navigates workspace readiness, performs file operations, executes verification commands, and processes feedback loops to iterate on solutions until they pass or are deemed unrecoverable.

Installation

To integrate this skill into your OpenClaw environment, use the following command in your terminal: clawhub install openclaw/skills/skills/araujota/arcagent-mcp Ensure your configuration environment supports MCP tool connections before initializing the skill.

Use Cases

  • Automating complex bug fixes or feature requests on supported platforms.
  • Managing long-running bounty sessions that require multiple iterations or debugging.
  • Performing automated verification loops to ensure code quality before final submission.
  • Investigating workspace health or infrastructure issues during bounty development.

Example Prompts

  1. "Find me a high-priority bounty related to Python dependency management, claim it, and start setting up the workspace."
  2. "I've submitted a fix for bounty #882, but it failed verification. Check the feedback, apply the necessary patches, and resubmit."
  3. "My workspace for bounty #451 is stuck in a provisioning loop. Please check the startup logs and diagnose the issue."

Tips & Limitations

  • Retry Discipline: The agent is programmed to prioritize actionable feedback. Ensure your environment has sufficient API credits for multiple submissions if the bounty is complex.
  • Scope Management: While the agent handles iteration, it is best to review changes periodically to avoid unnecessary diff noise.
  • Stop Conditions: The agent is bound by a strict outcome contract. If a task becomes genuinely unrecoverable, the agent will release the claim to prevent wasting resources. Always monitor the agent's progress during its first few iterations to calibrate your specific project requirements.

Metadata

Author@araujota
Stars4473
Views1
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-araujota-arcagent-mcp": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#bounty#automation#mcp#workflow#agent
Safety Score: 3/5

Flags: network-access, file-write, file-read, external-api, code-execution