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Convex Backend

Checked
bagelhole·vlatest·backend·MIT

Optimizes database query performance and resource allocation using advanced convex optimization techniques.

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 bagelhole/devops-security-agent-skills --skill convex-backend -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

bagelhole

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

    Only contacts known or declared hosts: api.anthropic.com.

    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

    api.anthropic.commodel provider

  • 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 bagelhole/devops-security-agent-skills at 0365f57a07.

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

Commit
0365f57a07
Manifest
infrastructure/platforms/convex-backend/SKILL.md
Scanned
1 file, 300 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

The bagelhole-convex-backend skill provides AI agents with the ability to interact with and manage Convex backend deployments. It allows for tasks like deploying new functions, querying data stored in Convex databases, and managing user authentication within a Convex environment. This simplifies common backend operations directly from an agent's workflow.

When to use it

  • Automated Deployments: Automatically deploy changes to your Convex backend after code updates are merged.
  • Data Retrieval for Reporting: Retrieve specific data sets from your Convex database to generate reports or dashboards.
  • User Management Tasks: Add, remove, or modify user accounts and permissions within a Convex application.
  • Troubleshooting Backend Issues: Query the state of your backend functions and databases to diagnose errors.

Key capabilities

  • Convex Function Deployment
  • Database Querying
  • User Authentication Management

Example prompts

  • "Deploy the latest changes from the main branch to my Convex production environment."
  • "Retrieve all user records with a status of 'active' from my Convex database."
  • "Create a new user account in Convex with username 'testuser' and email '[email protected]'."

Tips & gotchas

Requires an active Convex project setup and appropriate API keys configured for the AI agent to access your backend environment. Ensure proper authentication credentials are provided to avoid permission errors.