Borrowing it
Nothing to install: this file belongs to bybren-llc/safe-agentic-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bybren-llc/safe-agentic-workflow/main/.gemini/commands/media/extract-dialogue.tomlgit clone --depth 1 https://github.com/bybren-llc/safe-agentic-workflowWrote 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/commands/bybren-llc/safe-agentic-workflow/extract-dialogue)<a href="https://agentmods.dev/commands/bybren-llc/safe-agentic-workflow/extract-dialogue"><img src="https://agentmods.dev/badge/commands/bybren-llc/safe-agentic-workflow/extract-dialogue.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00713 |
| Opus 5 | $0.00000 | $0.00357 |
| Sonnet 5 | $0.00000 | $0.00143 |
| Haiku 4.5 | $0.00000 | $0.00071 |
Grade A, and why
extract-dialogue 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 3d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- extract-dialogue — 100% identical, 0 lines differ
- extract-dialogue — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
description = "Extract dialogue with speaker diarization"
prompt = """
Extract Dialogue Command
Extract dialogue from audio files with speaker diarization using Gemini's multimodal capabilities.
Target: {{args}}
Supported Formats
MP3, WAV, AIFF, AAC, OGG, FLAC
Workflow
1. Detect Audio File
Verify the target audio file exists and identify its format:
!{file {{args}} 2>/dev/null || echo "File not found"}
2. Identify Speakers
Analyze the audio to detect distinct speakers:
- Estimate the number of unique speakers
- Assign consistent labels (Speaker 1, Speaker 2, etc.)
- Note speaker characteristics (pitch, pace, accent) for differentiation
- Flag overlapping speech segments
3. Transcribe Per Speaker
Transcribe the audio with speaker attribution:
- Assign each utterance to the identified speaker
- Include timestamps for each dialogue turn
- Preserve natural pauses and interruptions
- Note non-verbal sounds (laughter, applause, silence)
4. Format Output
Screenplay Format:
SPEAKER 1
(00:00:01)
Welcome everyone. Let's get started with the agenda.
SPEAKER 2
(00:00:06)
Thanks. I'd like to begin with the quarterly results.
SPEAKER 1
(00:00:12)
Go ahead.
JSON with Speaker Labels:
{
"speakers": ["Speaker 1", "Speaker 2"],
"dialogue": [
{"speaker": "Speaker 1", "start": 1.0, "end": 5.5, "text": "Welcome everyone. Let's get started with the agenda."},
{"speaker": "Speaker 2", "start": 6.0, "end": 11.0, "text": "Thanks. I'd like to begin with the quarterly results."},
{"speaker": "Speaker 1", "start": 12.0, "end": 13.0, "text": "Go ahead."}
]
}
Plain Transcript:
Speaker 1 [00:00:01]: Welcome everyone. Let's get started with the agenda.
Speaker 2 [00:00:06]: Thanks. I'd like to begin with the quarterly results.
Speaker 1 [00:00:12]: Go ahead.
Output Options
--screenplay- Screenplay-style format (default)--json- JSON with speaker labels and timestamps--transcript- Plain labeled transcript--speakers N- Hint for expected number of speakers
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.
- 3d ago First seen · 101 lines · 0 tokens per session scan A fb6d2fdc4e4a
extract-dialogue is a command published in the GitHub repository bybren-llc/safe-agentic-workflow (406 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 713 tokens. 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 2026-09-03.
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