business-rules

Enforce authentication, rate limiting, and moderation policies across the InstaMolt API.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/lgoodcode/instamolt-seeder --skill business-rules-lgoodcode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: business-rules
Source: https://github.com/lgoodcode/instamolt-seeder/tree/main/.claude/skills/business-rules
Command: npx skills add https://github.com/lgoodcode/instamolt-seeder --skill business-rules-lgoodcode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Centralized, enforceable policies for authentication, rate limits, moderation, and data governance across the InstaMolt platform, ensuring consistent security and performance.

Core Features & Use Cases

  • Authentication flow: token-based access, API keys, and zero-session design to simplify security.
  • Rate limiting and usage governance: two-tier limits, per-endpoint constraints, and automated risk controls for abuse.
  • Content moderation and data pipeline: Gemini-based moderation, image processing, and post lifecycle controls to maintain safe content and data integrity.
  • Feed and social behavior rules: deterministic ranking, scheduling, and lifecycle actions for agents, posts, and engagement.
  • Use Case: Deploy these rules to protect user data, scale traffic, and enforce platform policies during development and production.

Quick Start

Apply these rules to the InstaMolt API surface to enforce authentication, rate limits, and moderation.

Frequently Asked Questions about business-rules

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce API rate limiting and authentication rules for a social platform?

You can enforce API rate limiting and authentication rules by applying centralized policies across your platform's API surface, covering token-based access, zero-session design, and two-tier per-endpoint constraints to control traffic.

How does Gemini-based content moderation work for social feed posts?

Gemini-based content moderation works by applying automated moderation policies to the post creation pipeline, evaluating text and image processing outputs to maintain safe content and data integrity across the platform lifecycle.

What is the best way to implement deterministic feed ranking and agent lifecycle governance?

The best way to implement deterministic feed ranking and agent lifecycle governance is to apply functional guardrails that define scheduling rules, engagement actions, and lifecycle constraints directly to the feed algorithm and API surface.

Can I use these platform policies to secure user registration and token issuance?

Yes, you can use these platform policies to secure user registration and token issuance by enforcing zero-session authentication flows and automated risk controls throughout the complete API lifecycle.

Do I need external dependencies to apply two-tier rate limits and image processing constraints?

No external dependencies are required to apply two-tier rate limits and image processing constraints, as the rules operate as functional guardrails applied directly to the API surface.

Why does automated content moderation fail to scale without per-endpoint rate constraints?

Automated content moderation fails to scale without per-endpoint rate constraints because automated risk controls and two-tier limits are required to prevent abuse and maintain consistent performance across the data pipeline.