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Convex Agents Debugging

Checked
sstobo·vlatest·backend

Automates debugging convex-agent configurations by identifying common errors and suggesting fixes for improved performance.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Convex Agents Debugging, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add sstobo/convex-skills --skill "Convex Agents Debugging" -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

sstobo

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 sstobo/convex-skills at 6a79f87f1e.

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

Commit
6a79f87f1e
Manifest
convex-agents-debugging/SKILL.md
Scanned
1 file, 172 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 debugging capabilities for Convex agents. It allows you to inspect agent state, step through execution, and identify errors within your agent workflows. Specifically, it facilitates understanding why an agent made a particular decision or encountered a failure during its operation.

When to use it

  • Troubleshooting Agent Failures: When an agent consistently fails to achieve its goals, this skill can help pinpoint the root cause of the problem.
  • Understanding Complex Decisions: If you're unsure why an agent took a specific action, debugging tools allow for inspection of intermediate states and reasoning processes.
  • Validating Agent Logic: During development, use this skill to verify that your agents are behaving as expected and following the intended logic flow.
  • Performance Optimization: Identify bottlenecks or inefficient steps within an agent's execution path.

Key capabilities

  • State inspection of agent variables
  • Step-by-step execution tracing
  • Error identification and reporting

Example prompts

  • "Debug the last run of my 'order_processing' agent."
  • "Show me the state of the 'inventory' variable when the agent decided to reorder."
  • "Step through the execution of the 'search_for_product' function in my agent."

Tips & gotchas

This skill requires a running Convex agent environment. Debugging can be computationally intensive, so use it judiciously during development and testing phases.