Deepgram Hello WorldSAFE
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Overview
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
4f83675ca38aOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: deepgram-hello-world description: 'Create a minimal working Deepgram transcription example. Use when starting a new Deepgram integration, testing your setup, or learning basic Deepgram API patterns. Trigger: "deepgram hello world", "deepgram example", "deepgram quick start", "simple transcription", "transcribe audio". ' allowed-tools: Read, Write, Edit version: 1.13.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - deepgram - api - testing - transcription - quickstart compatibility: Designed for Claude Code --- # Deepgram Hello World ## Examples Transcribe a short licensed fixture in the development project, verify the response shape and selected model/language, and remove the fixture according to the test policy. Keep only a correlation ID and aggregate result in logs; do not use a customer call or retain its transcript as a tutorial artifact. ## Overview Minimal working examples for Deepgram speech-to-text. Transcribe an audio URL in 5 lines with `createClient` + `listen.prerecorded.transcribeUrl`. Includes local file transcription, Python equivalent, and Nova-3 model selection. ## Prerequisites - `npm install @deepgram/sdk` completed - `DEEPGRAM_API_KEY` environment variable set - Audio source: URL or local file (WAV, MP3, FLAC, OGG, M4A) ## Instructions ### Step 1: Transcribe Audio from URL (TypeScript) ```typescript import { createClient } from '@deepgram/sdk'; const deepgram = createClient(process.env.DEEPGRAM_API_KEY!); async function main() { const { result, error } = await deepgram.listen.prerecorded.transcribeUrl( { url: 'https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav' }, { model: 'nova-3', // Latest model — best accuracy smart_format: true, // Auto-punctuation, paragraphs, numerals language: 'en', } ); if (error) throw error; const transcript = result.results.channels[0].alternatives[0].transcript; console.log('Transcript:', transcript); console.log('Confidence:', result.results.channels[0].alternatives[0].confidence); } main(); ``` ### Step 2: Transcribe a Local File ```typescript import { createClient } from '@deepgram/sdk'; import { readFileSync } from 'fs'; const deepgram = createClient(process.env.DEEPGRAM_API_KEY!); async function transcribeFile(filePath: string) { const audio = readFileSync(filePath); const { result, error } = await deepgram.listen.prerecorded.transcribeFile( audio, { model: 'nova-3', smart_format: true, // Deepgram auto-detects format, but you can specify: mimetype: 'audio/wav', } ); if (error) throw error; console.log(result.results.channels[0].alternatives[0].transcript); } transcribeFile('./meeting-recording.wav'); ``` ### Step 3: Python Equivalent ```python import os from deepgram import DeepgramClient, PrerecordedOptions client = DeepgramClient(os.environ["DEEPGRAM_API_KEY"]) # URL transcription url = {"url": "https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav"} options = PrerecordedOptions(model="nova-3", smart_format=True, language="en") response = client.listen.rest.v("1").transcribe_url(url, options) transcript = response.results.channels[0].alternatives[0].transcript print(f"Transcript: {transcript}") print(f"Confidence: {response.results.channels[0].alternatives[0].confidence}") ``` ```python # Local file transcription with open("meeting.wav", "rb") as audio: source = {"buffer": audio.read(), "mimetype": "audio/wav"} response = client.listen.rest.v("1").transcribe_file(source, options) print(response.results.channels[0].alternatives[0].transcript) ``` ### Step 4: Add Features ```typescript // Enable diarization (speaker identification) const { result } = await deepgram.listen.prerecorded.transcribeUrl( { url: audioUrl }, { model: 'nova-3', smart_format: true, diarize: true, // Speaker labels utterances: true, // Turn-by-turn segments paragraphs: true, // Paragraph formatting } ); // Print speaker-labeled output if (result.results.utterances) { for (const utterance of result.results.utterances) { console.log(`Speaker ${utterance.speaker}: ${utterance.transcript}`); } } ``` ### Step 5: Explore Model Options | Model | Use Case | Speed | Accuracy | |-------|----------|-------|----------| | `nova-3` | General — best accuracy | Fast | Highest | | `nova-2` | General — proven stable | Fast | Very High | | `nova-2-meeting` | Conference rooms, multiple speakers | Fast | High | | `nova-2-phonecall` | Low-bandwidth phone audio | Fast | High | | `base` | Cost-sensitive, high-volume | Fastest | Good | | `whisper-large` | Multilingual (100+ languages) | Slow | High | ### Step 6: Run It ```bash # TypeScript npx tsx hello-deepgram.ts # Python python hello_deepgram.py ``` ## Output - Working transcription from URL or local file - Printed transcript text with confidence score - Optional: speaker-labeled utterances ## Error Handling | Error | Cause | Solution | |-------|-------|----------| | `401 Unauthorized` | Invalid API key | Check `DEEPGRAM_API_KEY` | | `400 Bad Request` | Unsupported audio format | Use WAV, MP3, FLAC, OGG, or M4A | | Empty transcript | No speech in audio | Verify audio has audible speech | | `ENOTFOUND` | URL not reachable | Check audio URL is publicly accessible | | `Cannot find module '@deepgram/sdk'` | SDK not installed | Run `npm install @deepgram/sdk` | ## Resources - [Pre-recorded Audio Guide](https://developers.deepgram.com/docs/pre-recorded-audio) - [Model Options](https://developers.deepgram.com/docs/model) - [Smart Formatting](https://developers.deepgram.com/docs/smart-format) - [Sample Audio Files](https://static.deepgram.com/examples/) ## Next Steps Proceed to `deepgram-core-workflow-a` for production transcription patterns or `deepgram-core-workflow-b` for live streaming.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__deepgram-hello-world.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 4f83675ca38a | SAFE | B | 89 | first audit |
Questions
What does the Deepgram Hello World skill do?
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
Is Deepgram Hello World safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Deepgram Hello World access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Deepgram Hello World work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.