# ReadyOrAI

> Use this tool when you need to analyze code quality and identify potential issues across multiple programming languages. ReadyOrAI solves problems related to code maintenance, security, and performance by providing deep static code analysis and supporting various interfaces, including CLI and SARIF export. It is ideal for use in continuous integration and development pipelines where automated code review is necessary.

Canonical page: https://skillsregistry.net/skills/tedoneobichajavascript-readyorai  
JSON: https://api.skillsregistry.net/v1/skills/tedoneobichajavascript-readyorai

## Description

ReadyOrAI performs static code analysis across nine quality categories without API keys or external calls. It supports deep AST-based analysis for JavaScript, TypeScript, Python, Go, and Rust, with regex-based checks for additional languages. Features include CLI and MCP interfaces, SARIF export for GitHub Code Scanning, watch mode for continuous analysis, and inline comment suppression for specific warnings.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tedoneobichajavascript-readyorai)
- **Repository:** <https://github.com/tedoneobichajavascript/readyorai>

## 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": "tedoneobichajavascript-readyorai"
    }
  }
}
```

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