bot-repair

Guide deterministic repair playbooks for broken ClawNet bots with verification.

1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/b-open-io/clawnet-bot --skill bot-repair
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bot-repair
Source: https://github.com/b-open-io/clawnet-bot/tree/main/skills/bot-repair
Command: npx skills add https://github.com/b-open-io/clawnet-bot --skill bot-repair

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codified repair playbooks that guide deterministic recovery steps when a ClawNet bot breaks, aiming to restore uptime quickly and safely.

Core Features & Use Cases

  • Automated decision tree guiding restart, env-var fixes, dependency repairs, and snapshot recovery.
  • Post-repair verification sequence to confirm heartbeat and fleet health after any repair.
  • Use cases include broken bots, degraded performance, and failed heartbeats across a bot fleet.

Quick Start

Invoke the bot repair workflow on a broken bot, then run the post-repair verification sequence.

Frequently Asked Questions about bot-repair

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate repairs for broken bots with failed heartbeats in a fleet?

Automated bot repairs use a deterministic decision tree to guide restarts, environment variable fixes, dependency management, and snapshot recovery. This structured approach safely restores uptime for broken bots by executing predefined playbooks after heartbeat failures.

What is the best way to verify bot fleet health after a restart or environment fix?

Post-repair verification confirms fleet health by checking heartbeat status and overall system stability after executing environment fixes or dependency repairs. This verification sequence ensures the deployed repair successfully restored the bot's operational state before completing the workflow.

Can I safely redeploy broken bots with automated rollback options?

Safe redeploys for broken bots include clear rollback options within structured repair playbooks. The automated workflow executes environment fixes, verifies post-repair health, and supports snapshot recovery to revert changes if the deployment fails verification.

How does an automated decision tree handle degraded bot performance?

An automated decision tree addresses degraded bot performance by guiding deterministic recovery steps, including dependency repairs and environment variable adjustments. It applies predefined playbooks to diagnose the degradation source and execute the appropriate structured repair.

Do I need predefined repair playbooks to manage bot fleet diagnostics?

Predefined repair playbooks are required to manage bot fleet diagnostics, providing structured decision trees for deterministic recovery. They ensure consistent execution of restarts, dependency repairs, and post-repair verification across broken bots without ad-hoc manual intervention.