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/oh-story-dsh --skill video-voiceovergit clone --depth 1 https://github.com/zenstory-ai/oh-story-dshWrote 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/oh-story-dsh/video-voiceover)<a href="https://agentmods.dev/skills/zenstory-ai/oh-story-dsh/video-voiceover"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-dsh/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/oh-story-dsh/video-voiceover"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-dsh/video-voiceover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00136 | $0.01361 |
| Opus 5 | $0.00068 | $0.00681 |
| Sonnet 5 | $0.00027 | $0.00272 |
| Haiku 4.5 | $0.00014 | $0.00136 |
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 7d 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 — 82 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. 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
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。
脚本不从其他技能目录读取文件;外部输入仅限命令显式传入的稿件、音频、参数与 work_dir 产物。
3. 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。
编排式 cut 流程直接使用输出时间的 narration.json。只有旧版直接剪辑路径需要显式传入
narration_mapped.json。
4. 运行命令
python3 scripts/voiceover.py --work-dir <work_dir> --narration <narration.json> \
[--tts-provider auto|mimo-tts|fish-audio] \
[--mimo-voice 冰糖 | --voice-ref <reference-audio>]
单独运行且省略 --narration 时,默认读取 work_dir/narration.json。旧版路径如需映射后的稿件,必须显式传入:
python3 scripts/voiceover.py --work-dir <work_dir> \
--narration <work_dir/narration_mapped.json>
5. 输出契约
tts_segments/*.wav:每段旁白对应一个音频文件。tts_meta.json:包含segments、engine与narration。每段记录audio_path、时间、pause_after_ms和放置字段。- 干净运行写入
partial: false与failures: []。 - 使用
--allow-partial-tts跳过失败段时,写入partial: true和failures: [{index,start,end,text,error}],让缺失语音保持可见。
6. 运行规则
- 重跑只复用内容与 TTS 设置均匹配的分段音频;修改旁白或合成参数后,只重生成受影响的 WAV。
auto优先使用已配置的 MiMo,MiMo key 缺失且设置了FISH_API_KEY时使用 Fish Audio;需要可复现的 provider 选择时显式传--tts-provider。- Fish Audio 直接请求 WAV;默认使用“娱乐扒妹”音色(
5653cea4ac83480aaf2bf45406556185),FISH_TTS_REFERENCE_ID可覆盖。模型、音色 ID、API URL、动态语速或归一化设置变化时会重新生成缓存。当前免费模型无 SLA,受 Fair Use 和官方免费期限约束。 --voice-ref仅用于 full/cut 解说克隆,切换到mimo-v2.5-tts-voiceclone。仅在确需新合成时惰性规范化一次;- dub voiceclone 原始 WAV 也会用模型、提示、台词和参考音频指纹缓存;匹配重跑不再重复请求或计费,
dub_manifest.json逐行记录tts_cache=hit|miss; 参考音频内容或预处理指纹变化会使旧缓存失效。仅在获得授权后使用,参考音频会发送到 MiMo。 TTS_WORKERS、TTS_TIMEOUT、TTS_RETRIES、ALLOW_PARTIAL_TTS用于调整并发、超时、重试与部分成功策略。- dub 模式有独立的确定性门禁:
dub_lint.json会在语音克隆前阻止空行、重叠或越界译文;dub_review.json用于记录忠实度、语气、时长和平台适配复核。可通过dub.py --stage lint|review或dub.py --print-schema单独调用。
What ships with it
5 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.
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.
- 7d ago First seen · 82 lines · 136 tokens per session scan A e726cda155ae
video-voiceover is a skill published in the GitHub repository zenstory-ai/oh-story-dsh (338 stars, last pushed yesterday), licensed MIT. It adds 136 tokens to every session and 1,361 once invoked, about $0.0007 per session on Opus 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.
Other skills, from other repositories
story-long-analyze
A long-form fiction analysis workflow for breaking down a novel’s opening chapters, characters, pacing, turning points, relationships, and overall structure.
story-deslop
A writing editor for Chinese web novels that detects writing patterns often associated with AI-generated text and makes the prose feel more natural.
story-short-analyze
A Chinese-language guide for analysing short popular web fiction, such as stories published on 番茄, 故事会, or 知乎盐选. It examines the core premise, plot structure, emotional arc, twists, writing techniques, and reader appeal.
browser-cdp
Use this skill when you need to control a Chrome browser via CDP (Chrome DevTools Protocol) to reuse existing login sessions. Covers: launching Chrome in debug mode, opening URLs, waiting for page load, evaluating JavaScript, taking snapshots, and extracting auth tokens. Trigger phrases: browser automation, CDP…
novel-language-style
A guide to choosing and controlling the writing style of online fiction. It covers narration, word choice, figurative language, dialogue, and techniques for making scenes easier to picture.
style-fingerprint
A Chinese-language system for measuring the writing style of a novel from a sample of its text. It records patterns in viewpoint, timing, sentences, word choice, dialogue, description, themes, and chapter structure.