Deepgram Local Dev LoopSAFE
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
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-local-dev-loop description: 'Configure Deepgram local development workflow with testing and mocks. Use when setting up development environment, configuring test fixtures, or establishing rapid iteration patterns for Deepgram integration. Trigger: "deepgram local dev", "deepgram development setup", "deepgram test environment", "deepgram dev workflow", "deepgram mock". ' allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep version: 1.13.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - deepgram - testing - workflow - development compatibility: Designed for Claude Code --- # Deepgram Local Dev Loop ## Examples Use a local or development workspace with a short licensed fixture, make one SDK/config change, run the focused unit test and a bounded integration test, then inspect redacted metrics. Commit only the reviewed change; never copy production recordings, transcripts, or API keys into a local test loop. ## Overview Set up a fast local development workflow for Deepgram: test fixtures with sample audio, mock responses for offline unit tests, Vitest integration tests against the real API, and a watch-mode transcription dev server. ## Prerequisites - `@deepgram/sdk` installed, `DEEPGRAM_API_KEY` configured - `npm install -D vitest tsx dotenv` for testing and dev server - Optional: `curl` for downloading test fixtures ## Instructions ### Step 1: Project Structure ```bash mkdir -p src tests/mocks fixtures touch src/transcribe.ts tests/transcribe.test.ts tests/mocks/deepgram-responses.ts ``` ### Step 2: Download Test Fixtures ```bash # Deepgram provides free sample audio files curl -o fixtures/nasa-podcast.wav \ https://static.deepgram.com/examples/nasa-podcast.wav curl -o fixtures/bueller.wav \ https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav ``` ### Step 3: Environment Config ```bash # .env.development DEEPGRAM_API_KEY=your-dev-key DEEPGRAM_MODEL=nova-3 # .env.test (use a separate test key with low limits) DEEPGRAM_API_KEY=your-test-key DEEPGRAM_MODEL=base ``` ```json { "scripts": { "dev": "tsx watch src/transcribe.ts", "test": "vitest", "test:watch": "vitest --watch", "test:integration": "vitest run tests/integration/" } } ``` ### Step 4: Mock Deepgram Responses ```typescript // tests/mocks/deepgram-responses.ts export const mockPrerecordedResult = { metadata: { request_id: 'mock-request-id-001', created: '2026-01-01T00:00:00.000Z', duration: 12.5, channels: 1, models: ['nova-3'], model_info: { 'nova-3': { name: 'nova-3', version: '2026-01-01' } }, }, results: { channels: [{ alternatives: [{ transcript: 'Life moves pretty fast. If you don\'t stop and look around once in a while, you could miss it.', confidence: 0.98, words: [ { word: 'life', start: 0.08, end: 0.32, confidence: 0.99, punctuated_word: 'Life' }, { word: 'moves', start: 0.32, end: 0.56, confidence: 0.98, punctuated_word: 'moves' }, { word: 'pretty', start: 0.56, end: 0.88, confidence: 0.97, punctuated_word: 'pretty' }, { word: 'fast', start: 0.88, end: 1.12, confidence: 0.99, punctuated_word: 'fast.' }, ], }], }], utterances: [{ speaker: 0, transcript: 'Life moves pretty fast. If you don\'t stop and look around once in a while, you could miss it.', start: 0.08, end: 5.44, confidence: 0.98, }], }, }; export const mockLiveTranscript = { type: 'Results', channel_index: [0, 1], duration: 1.5, start: 0.0, is_final: true, speech_final: true, channel: { alternatives: [{ transcript: 'Hello, how are you today?', confidence: 0.95, words: [ { word: 'hello', start: 0.0, end: 0.3, confidence: 0.98, punctuated_word: 'Hello,' }, { word: 'how', start: 0.35, end: 0.5, confidence: 0.96, punctuated_word: 'how' }, ], }], }, }; export const mockTtsResponse = { content_type: 'audio/wav', request_id: 'mock-tts-001', model_name: 'aura-2-thalia-en', characters: { count: 42, limit: 100000 }, }; ``` ### Step 5: Unit Tests with Mocks ```typescript // tests/transcribe.test.ts import { describe, it, expect, vi, beforeEach } from 'vitest'; import { mockPrerecordedResult } from './mocks/deepgram-responses'; // Mock the SDK vi.mock('@deepgram/sdk', () => ({ createClient: () => ({ listen: { prerecorded: { transcribeUrl: vi.fn().mockResolvedValue({ result: mockPrerecordedResult, error: null, }), transcribeFile: vi.fn().mockResolvedValue({ result: mockPrerecordedResult, error: null, }), }, }, speak: { request: vi.fn().mockResolvedValue({ getStream: () => Promise.resolve(null), }), }, }), })); describe('DeepgramTranscriber', () => { it('transcribes URL and returns transcript text', async () => { const { createClient } = await import('@deepgram/sdk'); const client = createClient('mock-key'); const { result } = await client.listen.prerecorded.transcribeUrl( { url: 'https://example.com/audio.wav' }, { model: 'nova-3', smart_format: true } ); expect(result.results.channels[0].alternatives[0].transcript).toContain('Life moves'); expect(result.metadata.duration).toBe(12.5); expect(result.metadata.request_id).toBe('mock-request-id-001'); }); it('returns word-level timing data', async () => { const { createClient } = await import('@deepgram/sdk'); const client = createClient('mock-key'); const { result } = await client.listen.prerecorded.transcribeUrl( { url: 'https://example.com/audio.wav' }, { model: 'nova-3' } ); const words = result.results.channels[0].alternatives[0].words; expect(words[0].word).toBe('life'); expect(words[0].start).toBe(0.08); expect(words[0].confidence).toBeGrea
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 (1)
config(); // Load .env
Gates applied: no_behavioural_pass.
4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__deepgram-local-dev-loop.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 Local Dev Loop 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 Local Dev Loop 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 Local Dev Loop access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Deepgram Local Dev Loop 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.