Echo Agent is a self-hosted, long-running AI agent that connects language models, tools, memory, permissions, and messaging channels in one system. Individuals and teams use it for private automation that retains context across sessions, develops skills, schedules tasks, and requires approval for high-risk actions.
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 fuyuxiang/echo-agent --skill tts-voicegit clone --depth 1 https://github.com/fuyuxiang/echo-agentWrote 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/fuyuxiang/echo-agent/tts-voice)<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/tts-voice"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/tts-voice.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00727 |
| Opus 5 | $0.00015 | $0.00364 |
| Sonnet 5 | $0.00006 | $0.00145 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
tts-voice 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.
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.
TTS Voice
Text-to-Speech with natural Chinese voices.
Edge-TTS (Free, Recommended)
pip install edge-tts
CLI
edge-tts --voice zh-CN-XiaoxiaoNeural --text "今天天气不错" --write-media /tmp/output.mp3
edge-tts --list-voices | grep zh-CN
Python
import edge_tts, asyncio
async def speak(text, voice="zh-CN-XiaoxiaoNeural", output="output.mp3"):
communicate = edge_tts.Communicate(text, voice)
await communicate.save(output)
asyncio.run(speak("欢迎使用 Echo Agent"))
Chinese Voices
| Voice ID | Style |
|---|---|
| zh-CN-XiaoxiaoNeural | 女声，活泼自然 |
| zh-CN-YunxiNeural | 男声，温和 |
| zh-CN-YunyangNeural | 男声，新闻播报 |
| zh-CN-XiaoyiNeural | 女声，温柔 |
| zh-CN-liaoning-XiaobeiNeural | 东北方言 |
| zh-TW-HsiaoChenNeural | 台湾女声 |
OpenAI TTS (Alternative)
Requires OPENAI_API_KEY:
from openai import OpenAI
client = OpenAI()
response = client.audio.speech.create(
model="tts-1", # or tts-1-hd
voice="alloy", # alloy/echo/fable/onyx/nova/shimmer
input="Hello world"
)
response.stream_to_file("output.mp3")
Script
python3 scripts/text_to_speech.py "你好世界"
python3 scripts/text_to_speech.py "长文本内容..." --voice zh-CN-YunxiNeural -o briefing.mp3
python3 scripts/text_to_speech.py --list-voices zh
Delivering the audio (important for scheduled/unattended tasks)
Generating an mp3 does NOT send it. When the user should actually receive the
audio (e.g. a cron-triggered morning briefing), use the built-in
text_to_speech tool with deliver=true so synthesis and delivery happen in
one step:
text_to_speech(text="北京今天多云…", voice="zh-CN-XiaoxiaoNeural", deliver=true)
With deliver=true the tool sends the file to the current chat automatically
(target inferred from the session, or override with deliver_channel /
deliver_chat_id). Do NOT rely on a separate follow-up send_file call inside
a scheduled job — an unattended run may end after synthesis and the audio would
never reach the user.
What ships with it
1 file 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 · 101 lines · 29 tokens per session scan A 5c71d1734c67
tts-voice is a skill published in the GitHub repository fuyuxiang/echo-agent (1,054 stars, last pushed 5d ago), licensed MIT. It adds 29 tokens to every session and 727 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 2026-08-30.
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