edge-tts-chinese-roleplay

edge-tts-chinese-roleplay is a skill for Claude Code, Codex from cyuanxv/ai-mandrama-skills. It costs 937 tokens per session (4,161 once invoked), scanned A, original, MIT.

Instructions for creating Chinese character-style voiceovers with Microsoft's free Edge text-to-speech service, assigning voices to characters and adjusting speech timing and expression.

In plain words
What is it for?
Use them for Chinese short dramas, audiobooks, tutorials, vlogs, courses, or narration that needs multiple voices, emotional rate and pitch changes, and timed audio mixed into video.
Why use it?
They address common problems such as silent Chinese voices on macOS, flat-sounding narration, costly speech services, and assembling many clips into a video.

Skill for Claude CodeCodex

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

Good fit Use them for Chinese short dramas, audiobooks, tutorials, vlogs, courses, or narration that needs multiple voices, emotional rate and pitch changes, and timed audio mixed into video.

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Install with agentmods
npx agentmods add skills/cyuanxv/ai-mandrama-skills/edge-tts-chinese-roleplay
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 cyuanxv/ai-mandrama-skills --skill edge-tts-chinese-roleplay
Clone the repo
git clone --depth 1 https://github.com/cyuanxv/ai-mandrama-skills

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.

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README.md
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Per session 937 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,161 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.
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 $0.00937 $0.04161
Opus 5 $0.00468 $0.02080
Sonnet 5 $0.00187 $0.00832
Haiku 4.5 $0.00094 $0.00416

Measured 12d ago against content hash 40722b9c4e14, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

edge-tts-chinese-roleplay 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 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.

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.

skills/edge-tts-chinese-roleplay/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

edge-tts 中文角色化 TTS 配音

何时使用本 Skill

  • 任何中文内容需要"多角色 TTS 配音"且预算为 0(免费)
  • 短剧/动态漫/有声小说/教程/Vlog/抖音解说/课程旁白
  • 已踩过 macOS say 90% 中文 voice 是空音的坑
  • 需要给视频按字幕时间码插入多段配音
  • 念稿 TTS 没情绪起伏,要 SSML 调 rate/pitch

核心方法

第一步:装 edge-tts(一次性)

pip3 install edge-tts
edge-tts --list-voices | grep -E "zh-CN" | head -15

预期输出(实际可用的中文 voice):

  • zh-CN-XiaoxiaoNeural Female / News, Novel / Warm
  • zh-CN-XiaoyiNeural Female / Cartoon, Novel / Lively
  • zh-CN-YunjianNeural Male / Sports, Novel / Passion
  • zh-CN-YunxiNeural Male / Novel / Lively, Sunshine
  • zh-CN-YunxiaNeural Male / Cartoon, Novel / Cute
  • zh-CN-YunyangNeural Male / News / Professional, Reliable
  • 辽宁-XiaobeiNeural Female / Dialect / Humorous(东北话)
  • 陕西-XiaoniNeural Female / Dialect / Bright(陕西话)

第二步:角色声线分配(4 类标配)

角色类型 Voice 风格描述 典型应用
爽文男主 / 阳光小说男 zh-CN-YunxiNeural 阳光男主,活泼,小说朗读型 陆明 / 韩立 / 男 vlog 主播
反派 / 粗暴男 / 怒吼路人 zh-CN-YunjianNeural 体育激情,粗暴男 队长1 / 路人惊恐喊救命 / 反派吼叫
萌系小丑 / 配角谄媚 zh-CN-YunxiaNeural 卡通可爱搞笑 配角男争抢 / 弹幕小丑 / 反差萌
系统女音 / 温柔旁白 zh-CN-XiaoxiaoNeural 温柔,新闻级,小说级 系统提示 / 旁白 / 智能助手

第三步:6 类情绪 rate/pitch 速查

edge-tts --voice "<voice>" --rate "<rate>" --pitch "<pitch>" \
  --text "<台词>" --write-media output.mp3
情绪 rate pitch 适用 示例
紧张惊恐喊叫 +25% +10Hz 路人惊恐 / 反派怒吼 "救命啊!"
阳光调侃 +8% +3Hz 男主轻松摆烂 "不准训练哈!"
沉重 OS 自嘲 -5% -3Hz 男主内心独白 "我叫陆明,上辈子内卷加班猝死"
霸气定海一字 -30% -5Hz 男主装逼定场 "起——!"
系统机械感 -15% -2Hz 系统女音降速 "恭喜宿主激活系统"
谄媚小丑拔尖 +20% +10Hz 配角谄媚抢戏 "大佬选我!"

第四步:ffmpeg 合到视频音轨

核心命令(多段 mp3 按时间码 adelay + volume 补 + amix 混合):

ffmpeg -y -i input_video.mp4 \
  -i seg_01.mp3 -i seg_02.mp3 ... -i seg_15.mp3 \
  -i bgm.wav \
  -filter_complex "
[1:a]aresample=44100,adelay=500|500,volume=14[t1];
[2:a]aresample=44100,adelay=5500|5500,volume=14[t2];
...
[15:a]aresample=44100,adelay=52500|52500,volume=14[t15];
[16:a]aresample=44100,adelay=4000|4000,volume=0.18[bgm];
[t1][t2]...[t15][bgm]amix=inputs=16:dropout_transition=0[aout]" \
  -map 0:v -map "[aout]" \
  -c:v copy -c:a aac -b:a 192k -shortest \
  output.mp4

Read the full file on GitHub · 214 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 · 214 lines · 937 tokens per session scan A 40722b9c4e14

Subscribe to this mod's changes

edge-tts-chinese-roleplay is a skill published in the GitHub repository cyuanxv/ai-mandrama-skills (23 stars, last pushed 3mo ago), licensed MIT. It adds 937 tokens to every session and 4,161 once invoked, about $0.0047 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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