video-subtitles-and-audio-insert-workflow

video-subtitles-and-audio-insert-workflow is a skill for Claude Code, Codex from inclusionAI/AWorld. It costs 140 tokens per session (3,979 once invoked), scanned A, original, MIT.

A workflow for adding visible subtitles from UTF-8 SRT files to videos, including subtitles in Chinese, Japanese, and Korean. It uses MoviePy, FFmpeg, and video-inspection tools to control text styling and encoding.

In plain words
What is it for?
Use it to burn subtitles into videos, adjust font size, position, outlines, and encoding settings, inspect media files, or process batches of videos.
Why use it?
It helps avoid missing characters, poorly placed text, choppy playback, and unnecessarily large exported files.

Skill for Claude CodeCodex

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

Good fit Use it to burn subtitles into videos, adjust font size, position, outlines, and encoding settings, inspect media files, or process batches of videos.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/inclusionai/aworld/video_subtitles_audios_insert
About the project

AWorld is an agent harness, meaning a framework that coordinates an AI agent’s tools, memory, context, and execution so expert knowledge can be turned into reusable skills and autonomous agents. It is for building domain-specific agent applications and workflows, with the catalogue entries representing skills, agents, and commands that operate within the AWorld ecosystem.

inclusionAI/AWorld · 1,231 stars · on GitHub · aworldagents.com

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 inclusionAI/AWorld --skill video_subtitles_audios_insert
Clone the repo
git clone --depth 1 https://github.com/inclusionAI/AWorld

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 video-subtitles-and-audio-insert-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/inclusionai/aworld/video_subtitles_audios_insert/github.svg)](https://agentmods.dev/skills/inclusionai/aworld/video_subtitles_audios_insert)
Your own site
<a href="https://agentmods.dev/skills/inclusionai/aworld/video_subtitles_audios_insert"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/video_subtitles_audios_insert/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 video-subtitles-and-audio-insert-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/inclusionai/aworld/video_subtitles_audios_insert"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/video_subtitles_audios_insert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,979 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00140 $0.03979
Opus 5 $0.00070 $0.01989
Sonnet 5 $0.00028 $0.00796
Haiku 4.5 $0.00014 $0.00398

Measured 12d ago against content hash 902a038df9e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

video-subtitles-and-audio-insert-workflow scanned grade A with 1 finding 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 12d ago.

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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

result = subprocess.run(cmd_duration, stdout=subprocess.PIPE, text=True)
aworld-skills/video_subtitles_audios_insert/SKILL.md · 493 lines

How it starts

The opening of the file, as written. The whole thing — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.

1. Choosing a Technical Approach

Recommended: Python moviepy + CJK fonts

  • Tools: moviepy 2.x
  • Fonts: System CJK fonts (e.g. STHeiti, Songti, PingFang)
  • Pros: Cross-platform, supports Chinese, easy styling control
  • Cons: Slower processing (~40s for an 80s video)

Alternative: FFmpeg + libass (requires rebuild)

  • Tools: FFmpeg with libass support
  • Pros: Fast processing
  • Cons: Requires rebuilding FFmpeg; complex setup

2. Core Code Template

#!/usr/bin/env python3
import re
from moviepy import VideoFileClip, TextClip, CompositeVideoClip

def parse_srt(srt_file):
    """Parse an SRT subtitle file."""
    with open(srt_file, 'r', encoding='utf-8') as f:
        content = f.read()
    
    blocks = content.strip().split('\n\n')
    subtitles = []
    
    for block in blocks:
        lines = block.strip().split('\n')
        if len(lines) >= 3:
            time_line = lines[1]
            match = re.match(r'(\d{2}):(\d{2}):(\d{2}),(\d{3}) --> (\d{2}):(\d{2}):(\d{2}),(\d{3})', time_line)
            if match:
                start_h, start_m, start_s, start_ms, end_h, end_m, end_s, end_ms = match.groups()
                start_time = int(start_h) * 3600 + int(start_m) * 60 + int(start_s) + int(start_ms) / 1000
                end_time = int(end_h) * 3600 + int(end_m) * 60 + int(end_s) + int(end_ms) / 1000
                text = '\n'.join(lines[2:])
                subtitles.append(((start_time, end_time), text))
    
    return subtitles

def make_textclip(txt, font_path, font_size=40):
    """Create a subtitle text clip."""
    return TextClip(
        text=txt,
        font_size=font_size,             # Tune for resolution
        color='white',
        font=font_path,                  # CJK-capable font path
        stroke_color='black',
        stroke_width=2.5,
        method='caption',
        size=(1100, None),               # 1100px width, auto height
        text_align='center'
    )

def add_subtitles(video_path, srt_path, output_path, font_path, font_size=40, bottom_margin=100):
    """Burn hard subtitles into a video."""
    video = VideoFileClip(video_path)
    subtitles = parse_srt(srt_path)
    
    subtitle_clips = []
    for (start, end), text in subtitles:
        txt_clip = make_textclip(text, font_path, font_size)
        txt_clip = txt_clip.with_start(start).with_end(end)
        # Position: pixels from bottom (avoids wrapped lines past the lower edge)
        txt_clip = txt_clip.with_position(('center', video.h - bottom_margin))
        subtitle_clips.append(txt_clip)
    
    final_video = CompositeVideoClip([video] + subtitle_clips)
    
    # Important: cap bitrate to avoid huge files
    # Prefer checking source bitrate first, then ~1.2–1.5× that value
    final_video.write_videofile(
        output_path,
        codec='libx264',
        audio_codec='aac',
        fps=video.fps,
        preset='medium',
        bitrate='600k',      # Tune to source (often 400–800k)
        threads=4
    )
    
    video.close()

# Example usage
if __name__ == '__main__':
    add_subtitles(
        video_path='input_video.mp4',
        srt_path='subtitles.srt',
        output_path='output_video_with_subtitles.mp4',
        font_path='/System/Library/Fonts/STHeiti Medium.ttc',  # macOS
        font_size=40,        # e.g. 40px for 1280×720
        bottom_margin=100    # 100px from bottom
    )

Read the full file on GitHub · 493 lines

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. 12d ago First seen · 493 lines · 140 tokens per session scan A 902a038df9e8

Subscribe to this mod's changes

video-subtitles-and-audio-insert-workflow is a skill published in the GitHub repository inclusionAI/AWorld (1,231 stars, last pushed 3d ago), licensed MIT. It adds 140 tokens to every session and 3,979 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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