Skip to content
TrustedSkillsbeta
Back to all skills

Openclaw Self Healing

Listed
ramsbaby·vlatest·agents·MIT

Openclaw Self Healing automatically repairs damaged AI agents, boosting resilience and uptime for continuous operation.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add ramsbaby/openclaw-self-healing --skill openclaw-self-healing -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ramsbaby

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 3 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.telegram.org, discord.com, ntfy.sh, openclaw.dev, www.apple.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    raw.githubusercontent.comsource hostgithub.comsource hostdiscord.comundeclaredwww.apple.comundeclaredopenclaw.devundeclaredapi.telegram.orgundeclaredntfy.shundeclared127.0.0.1localapi.github.comsource host

    What it found (3 of 8)

    • install-linux.sh:277contacts discord.com
      $(if [ -n "$discord_webhook" ]; then echo "DISCORD_WEBHOOK_URL=\"$discord_webhook\""; else echo "# DISCORD_WEBHOOK_URL=\"https://discord.com/api/webhooks/...\"…
    • install.sh:332contacts discord.com
      $(if [ -n "$discord_webhook" ]; then echo "DISCORD_WEBHOOK_URL=\"$discord_webhook\""; else echo "# DISCORD_WEBHOOK_URL=\"https://discord.com/api/webhooks/...\"…
    • install.sh:419contacts www.apple.com
      <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">

  • No credential access: failed

    Touches credential material in 48 places.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found (3 of 48)

    • CONTRIBUTING.md:128environment file outside the project
      cp .env.example ~/.openclaw/.env
    • README.md:156environment file outside the project
      📄 ~/.openclaw/.env
    • SKILL.md:90environment file outside the project
      cp .env.example ~/.openclaw/.env

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 17 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found (3 of 17)

    • README.ko.md:123remote script piped into a shell
      curl -fsSL https://raw.githubusercontent.com/Ramsbaby/openclaw-self-healing/main/install.sh | bash -s -- --dry-run
    • README.ko.md:179remote script piped into a shell
      curl -fsSL https://raw.githubusercontent.com/Ramsbaby/openclaw-self-healing/main/install.sh | bash
    • README.md:121remote script piped into a shell
      curl -fsSL https://raw.githubusercontent.com/Ramsbaby/openclaw-self-healing/main/install.sh | bash -s -- --dry-run

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • Pinned to a commit: passed

    Scanned ramsbaby/openclaw-self-healing at 285c63117f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
285c63117f
Manifest
SKILL.md
Scanned
38 files, 8,978 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The openclaw-self-healing skill enables AI agents to automatically detect and correct errors in their own execution. It facilitates recovery from unexpected failures, improving the agent's robustness and reliability over extended operation periods. This self-correcting behavior minimizes downtime and reduces the need for manual intervention.

When to use it

  • Long-running tasks: Ideal for agents performing complex or lengthy operations where interruptions are costly.
  • Unstable environments: Useful when an agent operates in unpredictable conditions that may lead to errors.
  • Autonomous systems: Beneficial for agents designed to function with minimal human oversight, ensuring continued operation.
  • Complex workflows: When the agent's actions involve multiple steps and dependencies, self-healing can prevent cascading failures.

Key capabilities

  • Automatic error detection
  • Self-correction mechanisms
  • Recovery from unexpected failures
  • Improved robustness and reliability

Example prompts

  • "Agent, run this script, but make sure you can recover if it fails."
  • "Can you execute these steps autonomously and handle any errors that might occur?"
  • "I need a process that will continue running even if there are interruptions or failures."

Tips & gotchas

The skill's effectiveness depends on the agent’s ability to accurately identify and understand error conditions. Ensure sufficient logging and monitoring is in place for optimal self-healing performance.