Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cmoonagent/vocce-agent --skill agent-transcription-skillgit clone --depth 1 https://github.com/cmoonagent/vocce-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cmoonagent/vocce-agent/agent-transcription-skill)<a href="https://agentmods.dev/skills/cmoonagent/vocce-agent/agent-transcription-skill"><img src="https://agentmods.dev/badge/skills/cmoonagent/vocce-agent/agent-transcription-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cmoonagent/vocce-agent/agent-transcription-skill"><img src="https://agentmods.dev/badge/skills/cmoonagent/vocce-agent/agent-transcription-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.00339 |
| Opus 5 | $0.00023 | $0.00169 |
| Sonnet 5 | $0.00009 | $0.00068 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
vocce-transcription scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
vocce transcription skill
Turn any local audio/video file into clean text + SRT + VTT via vocce's hosted Whisper large-v3 backend. No API key required.
When to use
- The user provides an audio/video file (mp3, wav, m4a, mp4, mov, …) and wants a transcript, captions, or subtitles.
- Files up to 50 MB. Language auto-detected, or pass an ISO code (
en,zh, …).
How to use
Run the bundled script:
python3 scripts/transcribe_agent.py /path/to/file.mp4 --language auto --format text
# --format: text (default) | srt | vtt | json
Or import it:
from scripts.transcribe_agent import transcribe
result = transcribe("/path/to/file.mp3", language="en")
# result = {"text": "...", "srt": "...", "vtt": "...", "language": "en"}
Notes
- Endpoint defaults to
https://api.vocce.io/api/v1; override with theVOCCE_API_BASEenv var if self-hosting. - The call blocks until transcription finishes (polls every ~2.5s).
- Only stdlib is used — no
pip installneeded.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 37 lines · 47 tokens per session scan A fbc2a818e9a7
vocce-transcription is a skill published in the GitHub repository cmoonagent/vocce-agent (0 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 339 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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