# loudcheck

> loudcheck — chaoz23-loudcheck. Use this tool when you need to verify audio/video compliance with broadcast standards, such as EBU R128 and ATSC A/85, to ensure loudness regulations are met. It measures audio/video files using ffmpeg and returns a pass/fail verdict along with exact loudness deltas and remediation parameters. Ideal for use in post-production, broadcasting, and media distribution workflows where loudness compliance is crucial.

Canonical page: https://skillsregistry.net/skills/chaoz23-loudcheck  
JSON: https://api.skillsregistry.net/v1/skills/chaoz23-loudcheck

## Description

Loudness compliance verdicts against formal broadcast standards (EBU R128, ATSC A/85). Measures audio/video with ffmpeg and returns a pass/fail verdict with exact deltas and remediation parameters.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ghq4t194dd)
- **Repository:** <https://github.com/chaoz23/loudcheck>

## 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": "chaoz23-loudcheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chaoz23-loudcheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chaoz23-loudcheck/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