Agent Stuff is a personal package of reusable skills, extensions, prompt commands, themes, and utilities for the Pi Coding Agent. Its author uses these tools across projects, and the catalogue entries are components from this package that support that workflow.
Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/mitsuhiko/agent-stuff/audio-transcription)<a href="https://agentmods.dev/skills/mitsuhiko/agent-stuff/audio-transcription"><img src="https://agentmods.dev/badge/skills/mitsuhiko/agent-stuff/audio-transcription/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/mitsuhiko/agent-stuff/audio-transcription"><img src="https://agentmods.dev/badge/skills/mitsuhiko/agent-stuff/audio-transcription.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 | $0.00029 | $0.00989 |
| Opus 5 | $0.00015 | $0.00495 |
| Sonnet 5 | $0.00006 | $0.00198 |
| Haiku 4.5 | $0.00003 | $0.00099 |
Grade A, and why
audio-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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill whenever the user asks to transcribe an audio/video file, a Voice Memos export, dictation, lecture, meeting recording, or "bad audio".
Core rules
- Preserve temporary inputs immediately. Voice Memo share-sheet paths under
~/Library/Containers/com.apple.VoiceMemos/Data/tmp/.com.apple.uikit.itemprovider...can disappear. Before probing or experimenting, copy the file to stable/private/tmp/audio-transcription-inputs/. - Use cached local models, not cloud APIs. Prefer MLX Whisper via
uvx --from mlx-whisper mlx_whisper; Hugging Face models must be cached in~/.cache/huggingface/hub/. - Force language when known. For Armin's own dictations this is usually English with an Austrian/German accent, even when the filename is German. Do not infer language from filename alone.
- For bad audio, run a hallucination-resistant pass. Use
--condition-on-previous-text False,--word-timestamps True, and--hallucination-silence-threshold 2. - Deliver a cleaned best-effort transcript. Compare model output with timestamps/JSON, remove obvious Whisper loops, and mark uncertain spans as
[unclear]rather than inventing words.
Fast path
Run from this skill directory:
cd /Users/mitsuhiko/Development/agent-stuff/skills/audio-transcription
./transcribe-audio.py "/path/to/audio.m4a" --language en --quality balanced
The script:
- stages a stable copy of the input under
/private/tmp/audio-transcription-inputs/ - ensures the selected model is cached (downloads only if missing)
- writes
txt,srt,vtt,tsv, andjsonto/private/tmp/audio-transcriptions/<name>-<timestamp>/ - detects obvious hallucination loops and, in
balancedmode, reruns with the full model if needed
Useful variants:
# Quick draft, fastest cached model
./transcribe-audio.py audio.m4a --language en --quality fast
# Bad/important audio, slower full model
./transcribe-audio.py audio.m4a --language en --quality best \
--prompt "Armin Ronacher dictating about AI, data centers, Vienna, Donauinsel, shareholder value."
# Auto language detection when language is genuinely unknown
./transcribe-audio.py audio.m4a --language auto --quality balanced
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.
- 9d ago First seen · 98 lines · 29 tokens per session scan A 1de4f5f18867
audio-transcription is a skill published in the GitHub repository mitsuhiko/agent-stuff (3,064 stars, last pushed 3d ago), licensed Apache-2.0. It adds 29 tokens to every session and 989 once invoked, about $0.0001 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 2026-08-30.
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