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Debugging And Error Recovery

Checked
addyosmani·vlatest·testing·MIT

Automatically identifies, diagnoses, and suggests fixes for code errors during testing cycles.

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 addyosmani/agent-skills --skill debugging-and-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

addyosmani

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 addyosmani/agent-skills at 2686b620fc.

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

Commit
2686b620fc
Manifest
skills/debugging-and-error-recovery/SKILL.md
Scanned
1 file, 275 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 helps AI agents identify, analyze, and recover from errors encountered during task execution. It can pinpoint the root cause of failures, suggest potential solutions, and automatically retry operations with adjusted parameters to achieve successful completion. The agent can also provide detailed error reports for human review and further investigation.

When to use it

  • Automated workflows fail: When a script or automated process unexpectedly stops due to an unhandled exception or error condition.
  • API integrations encounter issues: When interacting with external APIs, the skill can help diagnose authentication problems, rate limits, or data format mismatches.
  • Complex calculations produce unexpected results: If a sequence of mathematical operations yields incorrect outputs, this skill can assist in tracing back the steps and identifying the source of the error.
  • Data processing pipelines break down: When importing, transforming, or exporting data, the skill helps isolate issues like corrupted files or invalid data types.

Key capabilities

  • Error identification and logging
  • Root cause analysis
  • Automated retry mechanisms with parameter adjustments
  • Detailed error report generation
  • Suggestion of potential solutions

Example prompts

  • "The last API call failed. Debug the issue and suggest a fix."
  • "I'm getting an 'Invalid Data Type' error during data processing. Can you help me identify where this is happening?"
  • "This script keeps crashing with a segmentation fault. Please analyze the logs and provide recommendations for recovery."

Tips & gotchas

The skill’s effectiveness depends on having sufficient logging enabled within the agent's environment to capture relevant error information. Without adequate context, debugging can be significantly hampered.