# telop-codex

> telop-codex — wirelessml-telop-codex. Use this tool when you need to transcribe and edit Japanese talk videos with accuracy, as it solves problems of incorrect subtitles and poor timing by utilizing local Whisper models to generate SRT files with filler removal and timing correction. It takes in Japanese talk videos and outputs edited SRT files, streamlining the subtitling process. Ideal for use cases where precise Japanese video transcription and subtitle editing are required.

Canonical page: https://skillsregistry.net/skills/wirelessml-telop-codex  
JSON: https://api.skillsregistry.net/v1/skills/wirelessml-telop-codex

## Description

Enables AI to transcribe Japanese talk videos, edit subtitles with filler removal and timing correction, and export SRT files using local Whisper models.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **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/mjg4wu9h07)
- **Repository:** <https://github.com/wirelessml/telop-codex>

## 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": "wirelessml-telop-codex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wirelessml-telop-codex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wirelessml-telop-codex/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