# app.zenable/zenable

> Use this tool when you need to refine and secure AI code, as it cleans up sloppy code and prevents vulnerabilities with deterministic guardrails, providing a reliable interface for inputting unrefined code and outputting optimized, vulnerability-free code. It solves problems related to code quality and security, ensuring robust AI applications. Ideal for use in development contexts where code reliability and security are paramount.

Canonical page: https://skillsregistry.net/skills/app-zenable-zenable  
JSON: https://api.skillsregistry.net/v1/skills/app-zenable-zenable

## Description

Zenable cleans up sloppy AI code and prevents vulnerabilities with deterministic guardrails

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.zenable%2Fzenable)

## Use it

MCP endpoint published by the skill: `https://mcp.zenable.app/`

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": "app-zenable-zenable"
    }
  }
}
```

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