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 agentmods add skills/fuyuxiang/echo-agent/voice-notenpx skills add fuyuxiang/echo-agent --skill voice-notegit 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/voice-note)<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/voice-note"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/voice-note.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 | $0.00029 | $0.00611 |
| Opus 5 | $0.00015 | $0.00305 |
| Sonnet 5 | $0.00006 | $0.00122 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
voice-note 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 3d 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
Voice Note
Speech-to-Text (STT) and Text-to-Speech (TTS) capabilities.
Speech → Text
Option A: OpenAI Whisper API (cloud)
from openai import OpenAI
client = OpenAI()
with open("audio.ogg", "rb") as f:
transcript = client.audio.transcriptions.create(model="whisper-1", file=f)
print(transcript.text)
Option B: faster-whisper (local, no API key)
pip install faster-whisper
from faster_whisper import WhisperModel
model = WhisperModel("base", compute_type="int8") # tiny/base/small/medium/large-v3
segments, info = model.transcribe("audio.ogg", language="zh")
text = " ".join(s.text for s in segments)
print(f"[{info.language}] {text}")
Text → Speech
Edge-TTS (free, excellent Chinese voices)
pip install edge-tts
# CLI
edge-tts --voice zh-CN-XiaoxiaoNeural --text "你好世界" --write-media output.mp3
# List voices
edge-tts --list-voices | grep zh-CN
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("今天天气不错，适合出门"))
Chinese Voice Options
| Voice | 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 |
Script
python3 scripts/voice_process.py transcribe audio.ogg --model base --language zh --output transcript.txt
python3 scripts/voice_process.py summarize meeting.mp3 --model small
Note: TTS (speak/voices) is in the separate tts-voice skill.
Audio Format Notes
- Input formats: ogg, mp3, wav, m4a, webm (Whisper accepts most)
- Output: mp3 (Edge-TTS default)
- Convert:
ffmpeg -i input.ogg output.mp3
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.
- 3d ago First seen · 88 lines · 29 tokens per session scan A 0066a2caedd5
voice-note is a skill published in the GitHub repository fuyuxiang/echo-agent (988 stars, last pushed 4d ago), licensed MIT. It adds 29 tokens to every session and 611 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.
Other skills, from other repositories
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triage
你是当前任务的分诊协调者。先识别用户的全部目标、顺序依赖和验收条件，再按 “事实检索 → 计算/执行 → 写作”顺序逐步请求切换到需要的专业能力。不要替专业 能力完成它的工作，也不要在信息缺失时臆造结果。.
writing
将共享历史中的已验证事实和计算结果整理成符合受众、格式与长度约束的成稿。.
data_analysis
基于已确认数据执行可审计的数学计算和描述统计。.
coding
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