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Transcribe audio files via OpenRouter using audio-capable models (Gemini, GPT-4o-audio, etc).
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
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| name | openrouter-transcribe |
| description | Transcribe audio files via OpenRouter using audio-capable models (Gemini, GPT-4o-audio, etc). |
| homepage | https://openrouter.ai/docs |
| metadata | {"clawdbot":{"emoji":"🎙️","requires":{"bins":["node","npx"],"env":["OPENROUTER_API_KEY"]},"primaryEnv":"OPENROUTER_API_KEY"}} |
Transcribe audio files using OpenRouter's chat completions API with input_audio content type. Works with any audio-capable model.
{baseDir}/scripts/transcribe /path/to/audio.m4a
Output goes to stdout.
# Custom model (default: google/gemini-3-flash-preview)
{baseDir}/scripts/transcribe audio.ogg --model openai/gpt-4o-audio-preview
# Custom instructions
{baseDir}/scripts/transcribe audio.m4a --prompt "Transcribe with speaker labels"
# Save to file
{baseDir}/scripts/transcribe audio.m4a --out /tmp/transcript.txt
input_audio contentSet OPENROUTER_API_KEY env var, or configure in ~/.clawdbot/clawdbot.json:
{
skills: {
"openrouter-transcribe": {
apiKey: "YOUR_OPENROUTER_KEY"
}
}
}
The script sends identification headers to OpenRouter:
X-Title: Caller name (default: "Peanut/Clawdbot")HTTP-Referer: Reference URL (default: "https://clawdbot.com")These show up in your OpenRouter dashboard for tracking.
ffmpeg format errors: The script uses a temp directory (not mktemp -t file.wav) because macOS's mktemp adds random suffixes after the extension, breaking format detection.
Argument list too long: Large audio files produce huge base64 strings that exceed shell argument limits. The script writes to temp files (--rawfile for jq, @file for curl) instead of passing data as arguments.
Empty response: If you get "Empty response from API", the script will dump the raw response for debugging. Common causes: