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.
npx skills add zenstory-ai/video-recap-skills --skill video-voiceovergit clone --depth 1 https://github.com/zenstory-ai/video-recap-skillsWrote 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.
[](https://agentmods.dev/skills/zenstory-ai/video-recap-skills/video-voiceover)<a href="https://agentmods.dev/skills/zenstory-ai/video-recap-skills/video-voiceover"><img src="https://agentmods.dev/badge/skills/zenstory-ai/video-recap-skills/video-voiceover/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.
<a href="https://agentmods.dev/skills/zenstory-ai/video-recap-skills/video-voiceover"><img src="https://agentmods.dev/badge/skills/zenstory-ai/video-recap-skills/video-voiceover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00262 | $0.03452 |
| Opus 5.5 | $0.00105 | $0.01381 |
| Sonnet 5.5 | $0.00052 | $0.00690 |
| Haiku 4.5 | $0.00026 | $0.00345 |
Grade A, and why
video-voiceover 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.
This is a copy
100% identical to video-voiceover — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
1. 定位
本技能读取带时间戳的旁白稿，为每一段生成独立音频，并把语音适配到对应时间窗，随后记录下游合成所需的放置元数据。
默认引擎是 MiMo TTS（mimo-v2.5-tts）；也可显式选择 Fish Audio（默认模型 s2.1-pro-free）。
2. 远程服务与数据外发
本技能按所选 TTS 或 dub 路径联网。表中的实读文本指 narration.json 段落去掉格式与舞台提示后的文字。
| 路径 | 服务与凭据 | 发送内容 |
|---|---|---|
默认解说 TTS（--tts-provider auto|mimo-tts） |
MiMo chat 接口 <MIMO_TTS_API_URL 或 MIMO_API_URL>/chat/completions，MIMO_TTS_API_KEY 或 MIMO_API_KEY，模型 mimo-v2.5-tts |
每段实读文本、一句自然语言语气/语速指令（由段的 emotion 与时间窗算出）、内置音色名（默认 冰糖）；auto 下 MiMo key 缺失且设置了 FISH_API_KEY 时改走 Fish Audio 行 |
解说声音克隆（--voice-ref <audio> / VOICE_REF） |
同上，模型 mimo-v2.5-tts-voiceclone |
上述内容，外加参考音频（转成 24 kHz 单声道 WAV，最长 30 秒）的 base64，每段请求都带 |
Fish Audio（--tts-provider fish-audio） |
FISH_TTS_API_URL（默认 https://api.fish.audio/v1/tts），FISH_API_KEY |
每段实读文本、数值语速、音色 ID FISH_TTS_REFERENCE_ID；不发送本地音频 |
自托管 IndexTTS（--tts-provider index-tts） |
用户自己部署、由 INDEX_TTS_ENDPOINT 指定的 HTTP(S) 服务 |
{"voice": INDEX_TTS_VOICE, "text": 实读文本}；不发送本地音频 |
| 实验性 dub（见 §8） | MiMo ASR（MIMO_API_URL，MIMO_API_KEY，mimo-v2.5-asr）与 MiMo voiceclone（TTS 接口与凭据，mimo-v2.5-tts-voiceclone） |
源视频整条音轨按 6 秒分窗送 ASR；每句中文译文连同从源音频截取的约 10 秒原说话人声音（克隆参考）送 voiceclone |
--voice-ref 与 dub 都会把一个真实人物的声音发给 MiMo 用于克隆：只在用户有权使用该音频、且声音主人同意被克隆时使用。
3. 环境要求
export MIMO_API_KEY=*** # 也可使用仅供 TTS 的 MIMO_TTS_API_KEY
# 或改用 Fish Audio TTS
export TTS_PROVIDER=fish-audio
export FISH_API_KEY=***
export FISH_TTS_REFERENCE_ID=<voice-model-id> # 可选；覆盖内置“娱乐扒妹”音色
# 或显式选择自托管 index-tts 端点，配置见 references/index-tts.md
export TTS_PROVIDER=index-tts
下面的 scripts/... 均相对于本技能目录。若执行器从仓库根目录启动，请给脚本路径加上本技能的绝对目录。
4. 输入契约
默认输入为 work_dir/narration.json。每段必须包含 start、end 与 narration，可选字段包括
pause_after_ms 和 overlaps_speech。时间统一表示音频最终放置的输出时间线秒数。
cut 流程先剪后配：narration.json 本身就是按剪后成片的输出时间写的，不存在另一份映射稿。
5. 运行命令
python3 scripts/voiceover.py --work-dir <work_dir> --narration <narration.json> \
[--tts-provider auto|mimo-tts|fish-audio|index-tts] \
[--mimo-voice 冰糖 | --voice-ref <reference-audio>] \
[--preserve-approved-text] [--allow-partial-tts]
What ships with it
10 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.
- references/index-tts.md 1.5 KB
- scripts/approved_text_policy.py 4.4 KB runs code
- scripts/dub.py 26 KB runs code
- scripts/lib.py 14 KB runs code
- scripts/providers/__init__.py 85 B runs code
- scripts/providers/fish_audio.py 3.2 KB runs code
- scripts/providers/index_tts.py 7.3 KB runs code
- scripts/tts_audio.py 6.7 KB runs code
- scripts/tts_cache.py 4.0 KB runs code
- scripts/voiceover.py 32 KB runs code
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.
- 12d ago Changed 80f1ecf4c26c
- 13d ago Changed · -8 lines cfb38cbddf77
- 23d ago Changed · +26 lines · +131 tokens per session 2ba0c0c0ded5
- 24d ago Changed · +8 lines c6b407aec131
- 25d ago Changed · -1 lines f152802d63f0
- 29d ago Changed c7a716b0ef9b
- 1mo ago Changed · -15 lines 13b885558ea1
- 1mo ago Changed · +25 lines · -5 tokens per session d0ab217e897b
- 1mo ago First seen · 82 lines · 136 tokens per session scan A e726cda155ae
video-voiceover is a skill published in the GitHub repository zenstory-ai/video-recap-skills (592 stars, last pushed 7d ago), licensed MIT. It adds 262 tokens to every session and 3,452 once invoked, about $0.0010 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to video-voiceover, differing in 0 lines, and is treated as a copy.
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A reference guide for writing production-ready prompts for image and video generation models. It covers fixed visual style, typed reference anchors, multi-shot sequences, and agreements between sound and picture.
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A filmmaking reference for deciding how to shoot a shot or scene, including framing, camera angle, lens choice, movement, staging, and continuity between shots.