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Ai Wrapper Product

Checked
davila7·vlatest·frontend·MIT

Streamlines frontend development by providing a reusable wrapper for davila7's AI models and services.

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 davila7/claude-code-templates --skill ai-wrapper-product -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Scanned
1 file, 261 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

ai-wrapper-product

What it does

This skill provides a frontend wrapper for AI agents, enabling the integration of product-specific logic and interfaces. It facilitates direct interaction between an agent and complex application states by abstracting underlying code structures.

When to use it

  • You need to expose specific product features or data models to an AI agent without modifying core backend logic.
  • Your frontend application requires dynamic UI updates based on real-time AI-driven decisions.
  • You are building a prototype where rapid iteration on agent-product interaction is critical.
  • You want to standardize how different agents access and manipulate a specific software product's environment.

Key capabilities

  • Frontend abstraction layer for AI interactions
  • Dynamic state management integration
  • Customizable interface rendering based on agent commands
  • Modular installation within existing codebases

Example prompts

  • "Update the dashboard layout to highlight pending tasks using the ai-wrapper-product skill."
  • "Fetch the latest product inventory data and display it in a new modal window."
  • "Configure the agent to automatically generate weekly reports based on current sales metrics."

Tips & gotchas

Ensure your frontend framework supports the specific wrapper patterns used by this skill, as compatibility may vary. Test interactions thoroughly in a staging environment before deploying to production to prevent unintended state changes.