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 malue-ai/dazee-small --skill edge-ttsgit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/edge-tts)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/edge-tts"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/edge-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/malue-ai/dazee-small/edge-tts"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/edge-tts.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 | $0.00023 | $0.00586 |
| Opus 5 | $0.00012 | $0.00293 |
| Sonnet 5 | $0.00005 | $0.00117 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
edge-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 9d 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.
What it actually says
Edge TTS 免费语音合成
使用微软 Edge 的在线 TTS 服务生成语音，免费，无需 API Key，支持 300+ 种声音。
使用场景
- 用户说「把这段文字转成语音」「用中文女声读一下」
- 需要快速生成语音，不想配置 API Key
- kokoro-tts 未安装时的替代方案
执行方式
命令行用法
# 基本用法
edge-tts --text "你好，今天天气真不错" --write-media output.mp3
# 指定声音
edge-tts --voice zh-CN-XiaoxiaoNeural --text "你好" --write-media output.mp3
# 带字幕
edge-tts --voice zh-CN-XiaoxiaoNeural --text "你好" \
--write-media output.mp3 --write-subtitles output.vtt
Python API
import edge_tts
import asyncio
async def generate():
communicate = edge_tts.Communicate("你好，这是测试语音。", "zh-CN-XiaoxiaoNeural")
await communicate.save("output.mp3")
asyncio.run(generate())
推荐中文声音
| Voice | 性别 | 风格 |
|---|---|---|
zh-CN-XiaoxiaoNeural |
女 | 温暖亲切（推荐） |
zh-CN-XiaoyiNeural |
女 | 活泼 |
zh-CN-YunjianNeural |
男 | 专业播报 |
zh-CN-YunxiNeural |
男 | 年轻自然 |
列出所有可用声音
edge-tts --list-voices | grep zh-CN
调节语速和音调
edge-tts --voice zh-CN-XiaoxiaoNeural \
--rate "+20%" --pitch "+5Hz" \
--text "加速播放" --write-media output.mp3
输出规范
- 默认使用
zh-CN-XiaoxiaoNeural（中文）或en-US-JennyNeural（英文） - 输出 MP3 格式，返回文件路径
- 需要网络连接（非离线方案）
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.
- 9d ago First seen · 82 lines · 23 tokens per session scan A f9ae9a760928
edge-tts is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 586 once invoked, about $0.0001 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 2026-09-03.
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