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 OpenMinis/MinisSkills --skill free-ttsgit clone --depth 1 https://github.com/OpenMinis/MinisSkillsWrote 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/openminis/minisskills/free-tts)<a href="https://agentmods.dev/skills/openminis/minisskills/free-tts"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/free-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/openminis/minisskills/free-tts"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/free-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 | $0.00088 | $0.01262 |
| Opus 5 | $0.00044 | $0.00631 |
| Sonnet 5 | $0.00018 | $0.00252 |
| Haiku 4.5 | $0.00009 | $0.00126 |
Grade A, and why
free-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 10d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Free TTS Skill
Use edge-tts (a Python library) to convert text to an MP3 audio file. It calls the Microsoft Edge browser's online TTS interface in the background. It is completely free, requires no registration, needs no configuration, has unlimited usage, and connects directly from within China.
Environment Dependencies
pip install edge-tts
No API key, account, or token is required.
Complete List of Chinese Voices
| # | Voice ID | Name | Gender | Language/Style |
|---|---|---|---|---|
| 1 | zh-CN-XiaoxiaoNeural |
Xiaoxiao ⭐ | Female | Mandarin, warm and natural |
| 2 | zh-CN-XiaoyiNeural |
Xiaoyi | Female | Mandarin, lively and playful |
| 3 | zh-CN-YunxiNeural |
Yunxi | Male | Mandarin, cheerful and energetic |
| 4 | zh-CN-YunjianNeural |
Yunjian | Male | Mandarin, passionate and powerful |
| 5 | zh-CN-YunyangNeural |
Yunyang | Male | Mandarin, professional and reliable |
| 6 | zh-CN-YunxiaNeural |
Yunxia | Male | Mandarin, cute and charming |
| 7 | zh-CN-liaoning-XiaobeiNeural |
Xiaobei | Female | Northeastern Chinese, humorous and friendly |
| 8 | zh-CN-shaanxi-XiaoniNeural |
Xiaoni | Female | Shaanxi dialect, bright and cheerful |
| 9 | zh-HK-HiuGaaiNeural |
HiuGaai | Female | Cantonese, friendly |
| 10 | zh-HK-HiuMaanNeural |
HiuMaan | Female | Cantonese, friendly |
| 11 | zh-HK-WanLungNeural |
WanLung | Male | Cantonese, friendly |
| 12 | zh-TW-HsiaoChenNeural |
HsiaoChen | Female | Taiwan Mandarin, friendly |
| 13 | zh-TW-HsiaoYuNeural |
HsiaoYu | Female | Taiwan Mandarin, friendly |
| 14 | zh-TW-YunJheNeural |
YunJhe | Male | Taiwan Mandarin, friendly |
To view the complete list of multilingual voices, run edge-tts --list-voices.
Usage
# Default voice (Xiaoxiao)
edge-tts --text "Hello, and welcome to our free text-to-speech service." --write-media /var/minis/workspace/output.mp3
# Specify a voice
edge-tts --voice zh-CN-XiaoyiNeural --text "The weather is really nice today." --write-media /var/minis/workspace/output.mp3
# Adjust speech rate and volume (percentage, -50 ~ +100)
edge-tts --voice zh-CN-XiaoxiaoNeural --rate=+20% --volume=+50% \
--text "Welcome to today's news." --write-media /var/minis/workspace/output.mp3
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.
- 10d ago First seen · 101 lines · 88 tokens per session scan A 30f691f096de
free-tts is a skill published in the GitHub repository OpenMinis/MinisSkills (407 stars, last pushed 6d ago), licensed MIT. It adds 88 tokens to every session and 1,262 once invoked, about $0.0004 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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