Browse The Skill Store

A high-performance wrapper to route security tasks directly to the Anthropic-Cybersecurity-Skills library.

B2B Leadbot: Turn Website Visitors into Warm Leads

by Sion Coolwijk

$14.99

Build a production-ready, Claude-powered chat widget that answers visitors' questions in plain language and quietly delivers every warm lead to the owner's inbox.

nex claude api integration

by Nex AI

$7

Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.

🗂️ Model Inventory Auditor

by JustHandled Labs

$13

Inventory every LLM model and provider your code depends on, the AI bill of materials, and flag the dependency risk. It lists each provider, model, and where it's used, then flags hardcoded model ids, single-provider dependency with no alternative, the same model referenced by different ids, model ids with no config or env indirection, and providers pinned in your manifests. Recognizes OpenAI, Anthropic, Google Gemini, and more from an editable list.

AI Prompt Injection Defense Shield & LLM Jailbreak Security Auditor Code Review Agent

by Brandon DeVries

Free

Stop leaving your AI startup exposed to malicious users trying to steal your proprietary system prompts or bypass your paywalls. The AI Prompt Injection Defense Shield is an automated code review agent that deeply analyzes your Next.js or Python backend, instantly detecting insecure LLM input fields, un-sanitized API data streams, and weak prompt boundaries. By automatically generating the exact copy-paste code patches required to harden your AI wrapper against the latest OWASP top 10 LLM vulnerabilities, this skill allows solo developers and indie hackers to confidently launch their SaaS without the fear of massive, unexpected API billing spikes or catastrophic data leaks.

Audit AI/LLM spend across OpenAI, Anthropic, AWS Bedrock, Azure. Find waste, project runway, FinOps report. Free scripts.

llm cost optimization audit

by Elyas Shukri Elmi

$49

Audit LLM spend to find recoverable waste in prompt caching, model routing, and token usage.