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Convex Delete Deployments

Listed
anand-testcompare·vlatest·backend·MIT

This skill swiftly removes and redeploys Convex deployments, streamlining updates and minimizing downtime for faster DevOps workflows.

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 anandpant/scripts-prompts-config --skill convex-delete-deployments --full-depth -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

anand-testcompare

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: api.convex.dev.

    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.convex.devundeclared

    What it found

    • universal/.agents/skills/convex-delete-deployments/scripts/delete_deployments.py:17contacts api.convex.dev
      API_BASE = "https://api.convex.dev"

  • 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 anand-testcompare/scripts-prompts-config at 512f4e64e9.

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

Commit
512f4e64e9
Manifest
universal/.agents/skills/convex-delete-deployments/SKILL.md
Scanned
3 files, 440 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 allows an AI agent to delete and deploy Convex deployments. It can remove existing deployments, create new ones based on provided configurations, and manage the deployment lifecycle within a Convex environment. This simplifies development workflows by automating common DevOps tasks related to Convex applications.

When to use it

  • You need to quickly revert to a previous version of your Convex application for debugging purposes.
  • You want to deploy changes from a local development environment to a staging or production Convex deployment.
  • Automating the process of deploying new features or bug fixes to your Convex applications.
  • Cleaning up old deployments that are no longer needed in your Convex project.

Key capabilities

  • Deletion of existing Convex deployments.
  • Creation of new Convex deployments based on configuration.
  • Management of deployment lifecycle within a Convex environment.

Example prompts

  • "Delete the 'staging' Convex deployment."
  • "Deploy my changes to the 'production' environment using the latest configuration file."
  • “Create a new convex deployment named ‘test’ from the current local setup.”

Tips & gotchas

This skill requires access and permissions within your Convex project. Ensure the AI agent has appropriate credentials configured for successful deployment operations.