# Send Whisper STT to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "whisper-stt", "name": "Whisper STT", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/nickylin/whisper-stt", "canonicalUrl": "https://clawhub.ai/nickylin/whisper-stt", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/whisper-stt", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=whisper-stt", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "scripts/demo.sh", "scripts/transcribe.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "whisper-stt", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-11T05:22:05.936Z", "expiresAt": "2026-05-18T05:22:05.936Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=whisper-stt", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=whisper-stt", "contentDisposition": "attachment; filename=\"whisper-stt-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "whisper-stt" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/whisper-stt" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/whisper-stt", "downloadUrl": "https://openagent3.xyz/downloads/whisper-stt", "agentUrl": "https://openagent3.xyz/skills/whisper-stt/agent", "manifestUrl": "https://openagent3.xyz/skills/whisper-stt/agent.json", "briefUrl": "https://openagent3.xyz/skills/whisper-stt/agent.md" } } ``` ## Documentation ### Whisper STT Skill Free, local speech-to-text using OpenAI Whisper. ### Prerequisites Install dependencies (one-time setup): pip install openai-whisper torch Optional: Install ffmpeg for broader format support: macOS: brew install ffmpeg Ubuntu: sudo apt install ffmpeg ### Transcribe an audio file python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py ### Options OptionDescription--modelModel size: tiny, base, small, medium, large, large-v3-turbo (default: base)--language, -lLanguage code: zh, en, ja, etc. (auto-detect if not specified)--output, -oOutput format: json, txt, srt, vtt (default: json) ### Examples Chinese audio to text: python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py recording.m4a --language zh --output txt Generate subtitles (SRT): python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py video.mp4 --output srt > subtitles.srt Use faster model: python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py audio.mp3 --model tiny --output txt High accuracy (slower): python ~/.openclaw/skills/whisper-stt/scripts/transcribe.py audio.mp3 --model large-v3 --output txt ### Model Selection Guide ModelSpeedAccuracyVRAM/RAMBest Fortiny~32xBasic~1GBQuick tests, low resourcebase~16xGood~1GBBalanced speed/accuracysmall~6xBetter~2GBBetter accuracymedium~2xVery Good~5GBHigh accuracylarge1xExcellent~10GBBest qualitylarge-v3-turbo~8xExcellent~6GBFast + accurate (recommended) ### Troubleshooting "ModuleNotFoundError: No module named 'whisper'" → Run: pip install openai-whisper torch "ffmpeg not found" → Install ffmpeg or convert audio to WAV format first Slow transcription → Use smaller model (tiny/base) or ensure GPU is available (Apple Silicon MPS, NVIDIA CUDA) Poor accuracy on Chinese → Use --language zh explicitly and consider larger model (medium/large) ### Output Formats json: Full result with segments, timestamps, and metadata txt: Plain text transcription only srt: SubRip subtitle format with timing vtt: WebVTT subtitle format for web players ### Credits Powered by OpenAI Whisper - open source speech recognition. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: nickylin - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-11T05:22:05.936Z - Expires at: 2026-05-18T05:22:05.936Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/whisper-stt) - [Send to Agent page](https://openagent3.xyz/skills/whisper-stt/agent) - [JSON manifest](https://openagent3.xyz/skills/whisper-stt/agent.json) - [Markdown brief](https://openagent3.xyz/skills/whisper-stt/agent.md) - [Download page](https://openagent3.xyz/downloads/whisper-stt)