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 castle-x/skills-x --skill baidu-speech-to-textgit clone --depth 1 https://github.com/castle-x/skills-xWrote 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/castle-x/skills-x/baidu-speech-to-text)<a href="https://agentmods.dev/skills/castle-x/skills-x/baidu-speech-to-text"><img src="https://agentmods.dev/badge/skills/castle-x/skills-x/baidu-speech-to-text/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/castle-x/skills-x/baidu-speech-to-text"><img src="https://agentmods.dev/badge/skills/castle-x/skills-x/baidu-speech-to-text.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 | $0.00049 | $0.01146 |
| Opus 5 | $0.00024 | $0.00573 |
| Sonnet 5 | $0.00010 | $0.00229 |
| Haiku 4.5 | $0.00005 | $0.00115 |
Grade A, and why
baidu-speech-to-text 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 11d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
百度语音识别 - 音频转文本
概述
本 skill 用于将用户发送的语音消息（ogg/opus 格式）转换为文本。使用百度语音识别 API，专为国内服务器 + 代理环境优化。
环境背景
问题场景
- 国内服务器通过
proxychains4代理访问海外服务（Discord、WhatsApp 等） - 但百度 API 是国内服务，通过代理访问反而会失败（SSL 错误）
- 需要在代理环境下选择性绕过百度 API
解决方案
- 使用 wrapper 脚本，通过
unset LD_PRELOAD绕过 proxychains 注入 - 脚本内部清除代理环境变量，确保直连百度 API
脚本文件
| 脚本 | 路径 | 用途 |
|---|---|---|
ogg_to_text.sh |
/root/.openclaw/workspace/scripts/ogg_to_text.sh |
推荐 - 简单易用 |
speech_to_text.sh |
/root/.openclaw/workspace/scripts/speech_to_text.sh |
完整功能版 |
baidu_speech_to_text.py |
/root/.openclaw/workspace/scripts/baidu_speech_to_text.py |
Python 主脚本 |
使用方法
基本用法（中文普通话）
/root/.openclaw/workspace/scripts/ogg_to_text.sh <音频文件路径>
示例
# 转换用户语音消息
/root/.openclaw/workspace/scripts/ogg_to_text.sh /root/.openclaw/media/inbound/xxxxx.ogg
支持的语言
| 参数 | 语言 |
|---|---|
--lang zh |
中文普通话（默认） |
--lang en |
英语 |
--lang cantonese |
粤语 |
--lang sichuan |
四川话 |
使用极速版（更快，仅中文）
/root/.openclaw/workspace/scripts/speech_to_text.sh <音频文件> --pro
音频文件位置
用户通过 WhatsApp/Discord 发送的语音消息保存在：
/root/.openclaw/media/inbound/
文件格式通常为 .ogg（Opus 编码），脚本会自动转换为 PCM 格式。
工作流程
当用户发送语音消息并请求转文本时：
- 确定语音文件路径（
/root/.openclaw/media/inbound/*.ogg） - 执行转换：
/root/.openclaw/workspace/scripts/ogg_to_text.sh /root/.openclaw/media/inbound/<文件名>.ogg - 返回识别结果给用户
性能参考
| 阶段 | 耗时 | 说明 |
|---|---|---|
| 获取 token | ~100ms | 可缓存优化 |
| ogg 转 pcm | ~150-220ms | ffmpeg 转换 |
| API 调用 | ~400-600ms | 主要耗时 |
| 总计 | ~700-1000ms |
API 配置
使用环境变量提供百度 API 账号信息（请勿写入仓库）：
export BAIDU_APP_ID="your_app_id"
export BAIDU_API_KEY="your_api_key"
export BAIDU_SECRET_KEY="your_secret_key"
端点：
错误处理
| 错误 | 原因 | 解决方案 |
|---|---|---|
| SSL 错误 | 代理影响 | 确保使用 wrapper 脚本（.sh），不要直接调用 Python |
| 识别结果为空 | 静音或无语音 | 告知用户音频可能没有语音内容 |
| 3301 错误 | 音频质量差 | 请用户重新录制 |
| 3303 错误 | 语音过长 | 需要分段处理 |
What ships with it
5 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.
- 11d ago First seen · 129 lines · 49 tokens per session scan A efe6e1d259f0
baidu-speech-to-text is a skill published in the GitHub repository castle-x/skills-x (18 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 1,146 once invoked, about $0.0002 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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