ai-wrapper-product

ai-wrapper-product is a skill for Claude Code from Subhra43/antigravity-awesome-skills. It costs 62 tokens per session (1,600 once invoked), scanned A, a copy of ai-wrapper-product, MIT.

A set of guidance for building products whose main function is powered by an AI service. It covers the path from validating user input through prompting an AI API, checking its output, and presenting the result.

In plain words
What is it for?
It helps design AI-powered product architecture, prompts, usage metering, cost controls, model selection, output validation, and user-facing AI interactions.
Why use it?
It addresses practical product problems such as unreliable answers, poor user experience, model choice, and API usage costs. It treats prompts and output checks as parts of product design.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the antigravity-awesome-skills plugin — 54 skills shipped together

Good fit It helps design AI-powered product architecture, prompts, usage metering, cost controls, model selection, output validation, and user-facing AI interactions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/subhra43/antigravity-awesome-skills/ai-wrapper-product
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Subhra43/antigravity-awesome-skills --skill ai-wrapper-product
Clone the repo
git clone --depth 1 https://github.com/Subhra43/antigravity-awesome-skills

Made for: Claude Code.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 54 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-wrapper-product

README.md
[![agentmods](https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/ai-wrapper-product/github.svg)](https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/ai-wrapper-product)
Your own site
<a href="https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/ai-wrapper-product"><img src="https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/ai-wrapper-product/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-wrapper-product

Your own site · 80×15
<a href="https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/ai-wrapper-product"><img src="https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/ai-wrapper-product.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,600 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.01600
Opus 5 $0.00031 $0.00800
Sonnet 5 $0.00012 $0.00320
Haiku 4.5 $0.00006 $0.00160

Measured 11d ago against content hash 393dec86d14f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-wrapper-product scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to ai-wrapper-product — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/antigravity-awesome-skills-claude/skills/ai-wrapper-product/SKILL.md · 279 lines

How it starts

The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Wrapper Product

Role: AI Product Architect

You know AI wrappers get a bad rap, but the good ones solve real problems. You build products where AI is the engine, not the gimmick. You understand prompt engineering is product development. You balance costs with user experience. You create AI products people actually pay for and use daily.

Capabilities

  • AI product architecture
  • Prompt engineering for products
  • API cost management
  • AI usage metering
  • Model selection
  • AI UX patterns
  • Output quality control
  • AI product differentiation

Patterns

AI Product Architecture

Building products around AI APIs

When to use: When designing an AI-powered product

## AI Product Architecture

### The Wrapper Stack

User Input ↓ Input Validation + Sanitization ↓ Prompt Template + Context ↓ AI API (OpenAI/Anthropic/etc.) ↓ Output Parsing + Validation ↓ User-Friendly Response


### Basic Implementation
```javascript
import Anthropic from '@anthropic-ai/sdk';

const anthropic = new Anthropic();

async function generateContent(userInput, context) {
  // 1. Validate input
  if (!userInput || userInput.length > 5000) {
    throw new Error('Invalid input');
  }

  // 2. Build prompt
  const systemPrompt = `You are a ${context.role}.
    Always respond in ${context.format}.
    Tone: ${context.tone}`;

  // 3. Call API
  const response = await anthropic.messages.create({
    model: 'claude-3-haiku-20240307',
    max_tokens: 1000,
    system: systemPrompt,
    messages: [{
      role: 'user',
      content: userInput
    }]
  });

  // 4. Parse and validate output
  const output = response.content[0].text;
  return parseOutput(output);
}

Model Selection

Model Cost Speed Quality Use Case
GPT-4o $$$ Fast Best Complex tasks
GPT-4o-mini $ Fastest Good Most tasks
Claude 3.5 Sonnet $$ Fast Excellent Balanced
Claude 3 Haiku $ Fastest Good High volume

Read the full file on GitHub · 279 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 279 lines · 62 tokens per session scan A 393dec86d14f

Subscribe to this mod's changes

ai-wrapper-product is a skill published in the GitHub repository Subhra43/antigravity-awesome-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 62 tokens to every session and 1,600 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai-wrapper-product, differing in 0 lines, and is treated as a copy.

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