# 缔零法则Lawgenesis

> Use this tool when you need to automate content security reviews and risk identification, reducing manual labor costs and providing high-precision solutions. It takes in content data and outputs risk assessments and interception strategies, enabling users to efficiently mitigate security threats. Ideal for applications requiring rapid and accurate content risk management, such as social media platforms and online publishing systems.

Canonical page: https://skillsregistry.net/skills/lawgenesis-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lawgenesis-mcp

## Description

缔零法则MCP是基于LLM和RAG技术搭建的实现完全替代人力的全自动化风险识别的内容安全审查平台，致力于通过代理AI技术减少人力成本，高效高精度为用户提供分钟级接入的内容风控解决方案，破解安全威胁，提供从风险感知到主动拦截策略执行的全链路闭环与一体化解决方案。This MCP tool is an AI-powered content security review platform built on LLM and RAG technologies, designed to achieve fully automated risk identification that completel

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n8ehvc7y82)
- **Repository:** <https://github.com/lawgenesis/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lawgenesis-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lawgenesis-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lawgenesis-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt