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Beam Debug Issue Tasks

Listed
abdullahbeam·vlatest·testing

Automatically generates debugging tasks from beam trace logs to pinpoint and resolve software issues quickly.

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 abdullahbeam/nexus-design-abdullah --skill beam-debug-issue-tasks -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

abdullahbeam

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 1 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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: tracing.beamstudio.ai.

    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

    tracing.beamstudio.aiundeclared

    What it found

    • 00-system/skills/beam/beam-debug-issue-tasks/scripts/debug_issue_tasks.py:778contacts tracing.beamstudio.ai
      LANGFUSE_HOST          Langfuse host (default: https://tracing.beamstudio.ai)

  • 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.

  • 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 abdullahbeam/nexus-design-abdullah at 8058b30175.

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

Commit
8058b30175
Manifest
00-system/skills/beam/beam-debug-issue-tasks/SKILL.md
Scanned
2 files, 1,139 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, beam-debug-issue-tasks, helps break down complex debugging tasks into smaller, manageable steps. It automatically generates a prioritized list of actionable items based on issue descriptions and context. The resulting task lists are designed to streamline the debugging process and improve efficiency for developers.

When to use it

  • Debugging unfamiliar codebases: Quickly generate a starting point for investigating issues when you're not familiar with the project structure.
  • Complex bug reports: Decompose lengthy or vague bug reports into concrete tasks that can be assigned and tracked.
  • Prioritizing debugging efforts: Get a ranked list of potential solutions to focus on first, maximizing impact.
  • Onboarding new developers: Provide structured guidance for resolving issues in a project.

Key capabilities

  • Issue decomposition: Breaks down complex problems into smaller tasks.
  • Task prioritization: Ranks generated tasks by importance or estimated effort.
  • Actionable task generation: Creates clear, concise steps for debugging.
  • Contextual understanding: Considers the provided issue description and project context.

Example prompts

  • "Debug this error message: 'NullPointerException in UserService.java' "
  • "Break down the following bug report into actionable tasks: [paste bug report here]"
  • "Generate a prioritized list of debugging steps for slow API response times."

Tips & gotchas

The quality of the generated task list depends heavily on the clarity and detail provided in the initial issue description. Providing relevant context, such as error logs or stack traces, will significantly improve results.