菜单
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
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。
基于 SOC 职业分类
Inspect and safely update Kabot configuration, model/memory/provider settings, channel account policies, allowlists, and related status or log evidence when debugging why a setting or runtime behavior is wrong.
Use when users ask about current weather, temperature, rain, or near-term forecasts for a real location. Not for historical weather archives, official severe-weather alerts, aviation, marine, or climate-trend analysis.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Mengunduh file dari URL ke direktori workspace lokal kabot dengan verifikasi hash dan indexing memory.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Allows the agent to restart or shut down the bot.
| name | openai-whisper-api |
| description | Transcribe audio via OpenAI Audio Transcriptions API (Whisper). |
| homepage | https://platform.openai.com/docs/guides/speech-to-text |
| metadata | {"kabot":{"emoji":"☁️","requires":{"bins":["curl"],"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY"}} |
Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint.
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
Defaults:
whisper-1<input>.txt{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json
Set OPENAI_API_KEY, or configure it in ~/.openclaw/openclaw.json:
{
skills: {
"openai-whisper-api": {
apiKey: "OPENAI_KEY_HERE",
},
},
}