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Agent Error Recovery

Checked
latestaiagents·vlatest·agents·MIT

Automatically detects, diagnoses, and corrects common errors in agent execution to maintain task progress.

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 latestaiagents/agent-skills --skill agent-error-recovery -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

latestaiagents

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 latestaiagents/agent-skills at 6120c5539d.

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

Commit
6120c5539d
Manifest
skills/mlops/agent-architect/agent-error-recovery/SKILL.md
Scanned
2 files, 944 lines
Copies in repo
2 — all of them scanned
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 agent-error-recovery skill allows AI agents to gracefully handle and recover from errors encountered during task execution. It provides mechanisms for identifying error types, attempting alternative approaches, and logging detailed information about failures. This ensures the agent can continue operating effectively even when unexpected issues arise.

When to use it

  • Complex workflows: When an agent is performing a series of steps with dependencies, this skill helps prevent complete failure due to individual errors.
  • Unreliable APIs: If an agent interacts with external services that are prone to downtime or intermittent failures, error recovery can maintain progress.
  • Data processing pipelines: When agents process data from various sources, the skill ensures resilience against corrupted or unavailable datasets.
  • Long-running tasks: For tasks that take a significant amount of time, this skill minimizes wasted effort by automatically retrying failed operations.

Key capabilities

  • Error type identification
  • Retry mechanisms with configurable delays
  • Alternative approach selection
  • Detailed error logging and reporting

Example prompts

  • "Agent, if you encounter an error while scraping the website, try a different user agent."
  • “When retrieving data from the API, implement retry logic with exponential backoff.”
  • "If the file upload fails, log the error details to the console and attempt a different storage location."

Tips & gotchas

The skill requires careful configuration of retry parameters (delay, number of attempts) to avoid overwhelming external services. Ensure your agent has sufficient context or knowledge to select appropriate alternative approaches when errors occur.