How do I install the Senseaudio Asr skill?

Run npx skillmds@latest add dvcrn/senseaudio-asr in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Senseaudio Asr safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Senseaudio Asr?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Senseaudio Asr free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Senseaudio Asr?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Senseaudio Asr by dvcrn — Agent Skill

Name: Senseaudio Asr
Rating: 4.666666666666667 (3 reviews)
Author: dvcrn

Senseaudio Asr

Build and troubleshoot SenseAudio speech recognition integrations, including HTTP transcription (`/v1/audio/transcriptions`), realtime WebSocket ASR (`/ws/v1/audio/transcriptions`), audio quality analysis (`/v1/audio/analysis`), and recognition record queries (`/v1/audio/records`). Use this whenever user asks for speech-to-text, diarization, translation, streaming ASR, or ASR model/parameter selection.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

SenseAudio ASR

Use this skill for all SenseAudio speech recognition tasks.

Credential source: read the API key from SENSEAUDIO_API_KEY and send it only in the Authorization: Bearer ... header. Do not place API keys in query parameters, logs, transcripts, or saved examples.

Read First

references/asr.md

Workflow

Pick recognition mode:

HTTP file transcription for offline audio.
WebSocket for realtime streaming microphone/audio chunks.
Audio analysis for noise and quality checks before recognition.
Records query for recent recognition history lookup.

Choose model by feature needs:

Lite for low-cost basic transcription.
ASR for streaming, translation, diarization, sentiment, and timestamps.
Pro when diarization plus explicit max_speakers control is needed.
DeepThink for streaming, translation, and intelligent editing; do not send language, diarization, sentiment, timestamps, ITN, or punctuation controls.

Build minimal request:

Required auth, file/audio format, model.
Add optional controls only when needed.
Keep uploaded files at or below 10MB; split longer audio before sending.

Validate compatibility:

Check model-parameter support before sending.
Enforce WS pcm / 16000Hz / mono requirements.
For HTTP stream=true, expect SSE text deltas only, not structured verbose fields.

Parse robustly:

Handle JSON/text/verbose/SSE forms.
Handle WS terminal events and failures.
Treat returned audio URLs, api_key, session_id, and trace_id as sensitive operational data.

---name: senseaudio-asrdescription: Build and troubleshoot SenseAudio speech recognition integrations, including HTTP transcription (`/v1/audio/transcriptions`), realtime WebSocket ASR (`/ws/v1/audio/transcriptions`), audio quality analysis (`/v1/audio/analysis`), and recognition record queries (`/v1/audio/records`). Use this whenever user asks for speech-to-text, diarization, translation, streaming ASR, or ASR model/parameter selection.---# SenseAudio ASRUse this skill for all SenseAudio speech recognition tasks.Credential source: read the API key from `SENSEAUDIO_API_KEY` and send it only in the `Authorization: Bearer ...` header.Do not place API keys in query parameters, logs, transcripts, or saved examples.## Read First- `references/asr.md`## Workflow1. Pick recognition mode:- HTTP file transcription for offline audio.- WebSocket for realtime streaming microphone/audio chunks.- Audio analysis for noise and quality checks before recognition.- Records query for recent recognition history lookup.2. Choose model by feature needs:- Lite for low-cost basic transcription.- ASR for streaming, translation, diarization, sentiment, and timestamps.- Pro when diarization plus explicit `max_speakers` control is needed.- DeepThink for streaming, translation, and intelligent editing; do not send `language`, diarization, sentiment, timestamps, ITN, or punctuation controls.3. Build minimal request:- Required auth, file/audio format, model.- Add optional controls only when needed.- Keep uploaded files at or below 10MB; split longer audio before sending.4. Validate compatibility:- Check model-parameter support before sending.- Enforce WS `pcm` / `16000Hz` / mono requirements.- For HTTP `stream=true`, expect SSE text deltas only, not structured verbose fields.5. Parse robustly:- Handle JSON/text/verbose/SSE forms.- Handle WS terminal events and failures.- Treat returned `audio` URLs, `api_key`, `session_id`, and `trace_id` as sensitive operational data.

Frequently asked questions