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Vellum AI/Transcribe — measured AI agent skill | DecimalAI

vellum-ai/transcribe

SkillScore77Maintained

Transcribe audio and video files using the configured speech-to-text provider

by vellum-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

AI Engineer pack

decimalai skills pull vellum-ai-transcribe

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/vellum-ai-transcribe/SKILL.md

Raw file: /s/vellum-ai-transcribe/SKILL.md ↗ · machine-readable summary at /s/vellum-ai-transcribe.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 6d ago

—-44% tokens0% turns77% of whole cases pass with skill (17/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	-10%	0%
case-08	✗→✓	▲ Improved	-64%	0%
case-13	✗→✓	▲ Improved	-69%	0%
case-14	✗→✓	▲ Improved	-56%	0%
case-15	✗→✓	▲ Improved	-57%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

vellum-ai / vellum-assistant

assistant/src/config/bundled-skills/transcribe/SKILL.md

View on GitHub ↗

License MITImported 8/1/2026Version v1

Skill contents

SKILL.md

Transcribe audio and video files using the configured speech-to-text provider. Supports multiple STT providers including OpenAI Whisper, Deepgram, and Google Gemini — the active provider is selected in Settings under Speech-to-Text (services.stt).

Usage Notes

The tool accepts a file_path (absolute path to a local audio or video file) to transcribe.
Supported formats: any video (mp4, mov, etc.) or audio (mp3, wav, m4a, etc.) file.
For video files, audio is automatically extracted via ffmpeg before transcription.
Large files are automatically split into chunks for processing.
If no STT provider credentials are configured, the tool will return an error with setup instructions.
The STT provider (services.stt) is shared between transcription and telephony call paths.

Maintenance

When adding or modifying an STT provider, follow the onboarding checklist at assistant/docs/stt-provider-onboarding.md. That document covers the daemon catalog, config schema, adapter wiring, client catalog parity, and required tests.

Want to see if vellum-ai/transcribe would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.