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Dev Client

Checked
gigs-slc·vlatest·testing·MIT

Automates client onboarding tasks like data import, API key generation, and initial setup documentation creation.

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 gigs-slc/react-native-skills --skill dev-client -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

gigs-slc

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 gigs-slc/react-native-skills at becef4d0f9.

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

Scanned
1 file, 141 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 dev-client skill provides access to development tools and resources. It allows an AI agent to interact with a React Native project, execute commands, and retrieve information about the codebase. This facilitates tasks such as debugging, testing, and code generation within a React Native environment.

When to use it

  • Debugging React Native applications: When you need help identifying and resolving issues in your React Native app's code.
  • Running tests: To execute automated tests for your React Native project and receive test results.
  • Code generation assistance: For generating boilerplate code or components within a React Native project.
  • Project information retrieval: To get details about the current state of a React Native project, like installed packages or build configurations.

Key capabilities

  • React Native project interaction
  • Command execution
  • Codebase information retrieval
  • Testing functionality

Example prompts

  • "Run tests for my React Native app."
  • "What are the dependencies in my package.json?"
  • "Generate a new component called 'MyComponent' with basic styling."

Tips & gotchas

The skill requires access to a React Native project environment. Ensure that the AI agent has the necessary permissions and context to interact with the project files correctly.