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 iflytek/iFly-Skills --skill iflytek-hyper-ttsgit clone --depth 1 https://github.com/iflytek/iFly-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/iflytek/ifly-skills/iflytek-hyper-tts)<a href="https://agentmods.dev/skills/iflytek/ifly-skills/iflytek-hyper-tts"><img src="https://agentmods.dev/badge/skills/iflytek/ifly-skills/iflytek-hyper-tts/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/iflytek/ifly-skills/iflytek-hyper-tts"><img src="https://agentmods.dev/badge/skills/iflytek/ifly-skills/iflytek-hyper-tts.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 | $0.00092 | $0.04342 |
| Opus 5.5 | $0.00037 | $0.01737 |
| Sonnet 5.5 | $0.00018 | $0.00868 |
| Haiku 4.5 | $0.00009 | $0.00434 |
Grade A, and why
iflytek-hyper-tts 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 23d 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.
How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ifly Hyper TTS (讯飞超拟人语音合成)
将文本转换为超拟人语音。适用于"把这段文案读出来"等语音合成需求。
API 文档：https://www.xfyun.cn/doc/spark/super%20smart-tts.html
核心特性
- 文本转语音：通过 WebSocket 双向流式接口合成音频
- 发音人控制：通过
--vcn指定已授权的超拟人发音人，默认使用聆小糖 - 基础韵律控制：语速（speed）/ 音量（volume）/ 语调（pitch）
- 多属性控制：语言/方言通过选择不同发音人(VCN)实现
- 多格式输出：MP3（lame）
使用场景（AI调用指南）
场景一：用户说"把这段文案读出来"
用户直接提供文本，要求语音合成。默认使用系统预设参数。
触发条件：用户指令包含"读出来"、"念出来"、"语音合成"、"转语音"、"文字转语音"等关键词。
默认参数：
- 发音人：聆小糖 (
x5_lingxiaotang_flow) - 女声，中文普通话，最适合作为默认主音色 - 语速：50（正常）
- 音量：50（正常）
- 语调：50（正常）
- 输出格式：MP3（lame）
- 采样率：24000Hz
# 直接合成（使用默认参数）
python3 scripts/xfei_hyper_tts.py --text "你好，欢迎使用讯飞超拟人语音合成！"
# 指定输出文件
python3 scripts/xfei_hyper_tts.py --text "欢迎收听" --output welcome.mp3
# 使用默认发音人聆小糖
python3 scripts/xfei_hyper_tts.py --text "你好" --vcn x5_lingxiaotang_flow
场景二：用户明确指定参数
用户明确指定发音人、语速、语调、音量等参数时，按用户指定参数执行。
触发条件：用户明确提到发音人名称/VCN、语速数值、语调/音量调整等。
# 指定发音人（需填写已授权的 vcn 代码，可通过 list_voices 查看）
python3 scripts/xfei_hyper_tts.py --text "你好" --vcn x5_lingfeiyi_flow
# 调整语速
python3 scripts/xfei_hyper_tts.py --text "语速稍快" --output fast.mp3 --speed 70
python3 scripts/xfei_hyper_tts.py --text "语速稍慢" --output slow.mp3 --speed 30
# 调整音量和语调
python3 scripts/xfei_hyper_tts.py --text "大声一点" --output loud.mp3 --volume 80
python3 scripts/xfei_hyper_tts.py --text "音调高低" --output pitch_test.mp3 --pitch 60
场景三：语言/方言控制
⚠️ 重要说明：讯飞超拟人API不支持 --language、--style、--emotion 参数。语言和方言通过**选择不同发音人(VCN)**来实现。
# 中文普通话（默认）
python3 scripts/xfei_hyper_tts.py --text "你好"
# 英语
python3 scripts/xfei_hyper_tts.py --text "Hello" --vcn x5_EnUs_Grant_flow
# 天津话
python3 scripts/xfei_hyper_tts.py --text "干嘛" --vcn x4_zijin_oral
# 东北话
python3 scripts/xfei_hyper_tts.py --text "嘎哈呢" --vcn x4_ziyang_oral
场景四：查看可用发音人列表
python3 scripts/xfei_hyper_tts.py --action list_voices
发音人说明
精选音色池（Skill 默认支持）
Skill 默认只开放以下 7 个精选发音人，避免全部暴露：
| 姓名 | VCN | 性别 | 语言 | 适用场景 |
|---|---|---|---|---|
| 聆小糖 | x5_lingxiaotang_flow | 女声 | 中文普通话 | 默认主音色，适合语音助手 |
| 聆飞瀚 | x6_lingfeihan_pro | 成年男 | 中文普通话 | 纪录片、偏正式表达场景 |
| 温暖磁性男声 | x6_wennuancixingnansheng_mini | 成年男 | 中文普通话 | 角色配音、客服场景 |
| Grant | x5_EnUs_Grant_flow | 男 | 英语美式 | 英文场景 |
| Lila | x5_EnUs_Lila_flow | 女 | 英语美式 | 英文场景 |
| 天津话 | x4_zijin_oral | 成年男 | 天津话 | 方言场景 |
| 东北话 | x4_ziyang_oral | 成年男 | 东北话 | 方言场景 |
What ships with it
4 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.
- 23d ago Changed · +2 lines bf32c396dfc4
- 1mo ago First seen · 307 lines · 92 tokens per session scan A c4dac768dcf9
iflytek-hyper-tts is a skill published in the GitHub repository iflytek/iFly-Skills (209 stars, last pushed yesterday), licensed Apache-2.0. It adds 92 tokens to every session and 4,342 once invoked, about $0.0004 per session on Opus 5.5. 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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