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App Store Deployment

Checked
aj-geddes·vlatest·devops·MIT

Automates app store submissions, builds, and releases across iOS and Android platforms.

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 aj-geddes/useful-ai-prompts --skill app-store-deployment -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/app-store-deployment/SKILL.md
Scanned
8 files, 444 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

The app-store-deployment skill enables AI agents to discover, install, and manage software packages directly from public repositories like npm, PyPI, or Docker Hub. It streamlines the setup process by handling version resolution and dependency installation automatically.

When to use it

  • Rapidly provisioning development environments for new team members without manual CLI commands.
  • Automating the initial setup of dependencies in CI/CD pipelines before running tests.
  • Quickly adding third-party libraries or tools to a project during active development sprints.
  • Standardizing tooling across multiple microservices by enforcing specific package versions.

Key capabilities

  • Searches public registries for available packages and their metadata.
  • Installs software dependencies directly into the target environment.
  • Resolves version constraints to ensure compatibility with existing codebases.
  • Manages installation logs and reports success or failure states clearly.

Example prompts

  • "Install the latest stable version of React and its core dependencies into my Node.js project."
  • "Add a Python library for data visualization to this repository and verify the installation."
  • "Pull the Docker image for Redis 7.2 and configure it as a service in my container orchestration setup."

Tips & gotchas

Ensure your AI agent has read-only access to package registries if you only need discovery, or write permissions if actual installation is required. Always verify that the installed packages match your project's security policies before committing changes to version control.