Skip to content
TrustedSkillsbeta
Back to all skills

Langgraph Error Handling

Checked
lubu-labs·vlatest·agents·MIT

Langgraph Error Handling automatically detects and manages Langgraph execution errors, ensuring robust and reliable workflows.

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 soba-labs/langchain-agent-skills --skill langgraph-error-handling -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

lubu-labs

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned lubu-labs/langchain-agent-skills at a2d4a1011b.

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

Commit
a2d4a1011b
Manifest
skills/langgraph-error-handling/SKILL.md
Scanned
15 files, 3,175 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

This skill provides robust error handling capabilities within LangGraph workflows. It allows agents to gracefully manage and recover from errors encountered during the execution of chains, preventing abrupt failures and improving overall reliability. Specifically, it enables retry mechanisms and logging of errors for debugging purposes.

When to use it

  • Complex Workflows: When building LangGraph chains with multiple steps where individual step failures could halt the entire process.
  • External API Calls: When interacting with external APIs that may be unreliable or prone to temporary outages.
  • Debugging & Monitoring: To log and track errors occurring within a LangGraph application, aiding in troubleshooting and performance optimization.
  • Data Processing Pipelines: In scenarios where data transformations or processing steps might encounter unexpected issues.

Key capabilities

  • Retry mechanisms for failed tasks.
  • Error logging with detailed context.
  • Graceful failure handling to prevent chain termination.

Example prompts

  • "Handle errors in the LangGraph chain by retrying each step up to 3 times."
  • "Log any exceptions encountered during this LangGraph workflow, including the input and output of each step."
  • “Implement a fallback mechanism if an API call fails within the LangGraph.”

Tips & gotchas

This skill requires a working LangGraph environment. Ensure your agent has access to the necessary configuration options for defining retry policies and error logging behavior.