evo-dubbing

evo-dubbing is a skill for Claude Code, Codex from Zhang-Henry/CoEvoSkills. It costs 58 tokens per session (1,544 once invoked), scanned A, original, Apache-2.0.

A video-dubbing workflow that replaces spoken dialogue with generated speech in another language while keeping it aligned with subtitle timings and the video.

In plain words
What is it for?
Use it to read SRT subtitle files, generate language-appropriate speech with Kokoro, adjust timing, normalize loudness, combine the audio with a video, and check the result.
Why use it?
It removes the manual work of matching translated speech to each subtitle segment and preparing consistently leveled audio.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to read SRT subtitle files, generate language-appropriate speech with Kokoro, adjust timing, normalize loudness, combine the audio with a video, and check the result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhang-henry/coevoskills/evo-dubbing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Zhang-Henry/CoEvoSkills --skill evo-dubbing
Clone the repo
git clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for evo-dubbing

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dubbing/github.svg)](https://agentmods.dev/skills/zhang-henry/coevoskills/evo-dubbing)
Your own site
<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-dubbing"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dubbing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for evo-dubbing

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-dubbing"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dubbing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,544 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.01544
Opus 5 $0.00029 $0.00772
Sonnet 5 $0.00012 $0.00309
Haiku 4.5 $0.00006 $0.00154

Measured 11d ago against content hash 822f9bd57c28, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

evo-dubbing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/pipeline.py, scripts/utils.py, scripts/validator.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

artifacts/skills/multilingual-video-dubbing/evo-dubbing/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multilingual Dubbing Skill

This skill provides a complete pipeline for dubbing video from one language to another using neural TTS, with broadcast-standard audio output.

Capabilities

  • Parse SRT subtitle files for timing windows and dialogue text
  • Synthesize speech using Kokoro TTS with language-appropriate voices
  • Two-step duration matching: Kokoro speed parameter + rate adjustment
  • Normalize audio to ITU-R BS.1770-4 target (-23 LUFS per EBU R128)
  • Mux dubbed audio into video container (configurable sample rate, mono)
  • Generate structured JSON report with per-segment alignment metrics
  • Validate output quality with UTMOS scoring

Quick Start

The caller must supply paths to the input files and output directory. All paths are runtime arguments with no defaults.

import sys
sys.path.insert(0, '/app/environment/skills/evo-dubbing/scripts')
from pipeline import run_dubbing_pipeline
from validator import validate_dubbing_output

# Discover input paths from the task environment at runtime.
# These are illustrative variable names - adapt to actual task layout.
video_path = '<path-to-input-video>'         # e.g. /root/input.mp4
segments_srt = '<path-to-segments-srt>'       # defines speech time windows
source_text_srt = '<path-to-source-text-srt>' # original language dialogue
target_text_srt = '<path-to-target-text-srt>' # reference translation
target_lang_file = '<path-to-target-lang>'    # file containing ISO 639-1 code
out_dir = '<output-directory>'                # e.g. /outputs

# Run the full pipeline
report = run_dubbing_pipeline(
    video_path=video_path,
    segments_srt_path=segments_srt,
    source_text_srt_path=source_text_srt,
    target_text_srt_path=target_text_srt,
    target_language_path=target_lang_file,
    output_dir=out_dir,
    target_sr=48000,       # broadcast standard
    target_channels=1,     # mono
    target_lufs=-23.0      # EBU R128
)

# Validate all outputs
passed, issues = validate_dubbing_output(out_dir)
if passed:
    print("All validations passed!")
else:
    for issue in issues:
        print(f"ISSUE: {issue}")

Read the full file on GitHub · 152 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 152 lines · 58 tokens per session scan A 822f9bd57c28

Subscribe to this mod's changes

evo-dubbing is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 21d ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,544 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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