Skip to content
TrustedSkillsbeta
Back to all skills

Error Handling

Checked
epicenterhq·vlatest·backend

This Error Handling skill gracefully manages backend errors, preventing crashes and ensuring smooth application operation for improved reliability.

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 epicenterhq/epicenter --skill 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

epicenterhq

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 epicenterhq/epicenter at f9441c8f6d.

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

Commit
f9441c8f6d
Manifest
.agents/skills/error-handling/SKILL.md
Scanned
4 files, 314 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 enables AI agents to manage and resolve errors within the Epicenter backend infrastructure, ensuring system stability during failures. It provides mechanisms to intercept exceptions, log diagnostic data, and trigger recovery protocols automatically.

When to use it

  • Deploying microservices that require robust fault tolerance and self-healing capabilities.
  • Integrating external APIs where network timeouts or invalid responses are frequent.
  • Building production-grade applications that need detailed error tracking for debugging.
  • Automating incident response workflows to minimize downtime during unexpected crashes.

Key capabilities

  • Automatic detection of runtime exceptions and system failures.
  • Structured logging of error contexts for easier root cause analysis.
  • Configurable retry logic with exponential backoff strategies.
  • Graceful degradation of non-critical features when core services fail.
  • Centralized error aggregation for monitoring dashboards.

Example prompts

  • "Configure the error handler to log all 500-level responses with stack traces to our S3 bucket."
  • "Set up a retry mechanism for failed database queries that waits 2 seconds before attempting again."
  • "Create an alert rule that triggers when the error rate exceeds 5% over a rolling 10-minute window."

Tips & gotchas

Ensure your logging infrastructure is ready to receive high volumes of diagnostic data during peak failure times. Always test error recovery flows in staging environments before deploying to production to avoid masking critical issues.