# AdaRemediator

> AdaRemediator — krishaygarg-adaremediator. Use this tool when you need to automatically remediate PDFs for accessibility and readability issues. The AdaRemediator utilizes deep learning and YOLOv8 layout detection to identify and correct formatting problems, taking in PDF files as input and producing remediated PDFs as output. Ideal for use cases where large volumes of PDFs require accessibility compliance, such as document processing and archiving workflows.

Canonical page: https://skillsregistry.net/skills/krishaygarg-adaremediator  
JSON: https://api.skillsregistry.net/v1/skills/krishaygarg-adaremediator

## Description

Deep learning PDF remediation engine with YOLOv8 layout detection.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/krishaygarg/AdaRemediator)

## 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": "krishaygarg-adaremediator"
    }
  }
}
```

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