# Lint-AI

> Lint-AI — rooagi-lint-ai. Use this tool when you need to efficiently manage AI coding agent memory and retrieve current-state information. Lint-AI solves problems related to persistent memory and knowledge retention, providing a reliable way to identify what is still true in a given context. It accepts inputs from various AI coding agents, such as Claude Code, Codex, and Gemini CLI, and outputs relevant information to inform coding decisions.

Canonical page: https://skillsregistry.net/skills/rooagi-lint-ai  
JSON: https://api.skillsregistry.net/v1/skills/rooagi-lint-ai

## Description

Persistent memory layer for AI coding agents — current-state retrieval that knows what is still true. Claude Code, Codex, Gemini CLI.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/RooAGI/Lint-AI)

## 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": "rooagi-lint-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rooagi-lint-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rooagi-lint-ai/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