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 lattifai/omni-captions-skills --skill omnicaptions-transcribegit clone --depth 1 https://github.com/lattifai/omni-captions-skillsWrote 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/lattifai/omni-captions-skills/omnicaptions-transcribe)<a href="https://agentmods.dev/skills/lattifai/omni-captions-skills/omnicaptions-transcribe"><img src="https://agentmods.dev/badge/skills/lattifai/omni-captions-skills/omnicaptions-transcribe/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/lattifai/omni-captions-skills/omnicaptions-transcribe"><img src="https://agentmods.dev/badge/skills/lattifai/omni-captions-skills/omnicaptions-transcribe.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 | $0.00038 | $0.01368 |
| Opus 5 | $0.00019 | $0.00684 |
| Sonnet 5 | $0.00008 | $0.00274 |
| Haiku 4.5 | $0.00004 | $0.00137 |
Grade A, and why
omnicaptions-transcribe 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.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Transcription
Transcribe audio/video using Google Gemini API with structured markdown output.
YouTube Video Workflow
Important: Check for existing captions before transcribing:
1. Check captions: yt-dlp --list-subs "URL"
2. Has caption → Use /omnicaptions:download to get existing captions (better quality)
3. No caption → Transcribe directly with URL (don't download first!)
Confirm with user: Before transcribing, ask if they want to check for existing captions first.
URL & Local File Support
Gemini natively supports YouTube URLs - no need to download, just pass the URL directly:
# YouTube URL (recommended, no download needed)
omnicaptions transcribe "https://www.youtube.com/watch?v=VIDEO_ID"
# Local files
omnicaptions transcribe video.mp4
Note: Output defaults to current directory unless user specifies -o.
When to Use
- Video URLs - YouTube, direct video links (Gemini native support)
- Transcribing podcasts, interviews, lectures
- Need verbatim transcript with timestamps and speaker labels
- Want auto-generated chapters from content
- Mixed-language audio (code-switching preserved)
When NOT to Use
- Video has existing captions - Use
/omnicaptions:downloadto get existing captions first - Need real-time streaming transcription (use Whisper)
- Audio >2 hours (Gemini upload limit)
- Want translation instead of transcription
Quick Reference
| Method | Description |
|---|---|
transcribe(path) |
Transcribe file or URL (sync) |
translate(in, out, lang) |
Translate captions |
write(text, path) |
Save text to file |
Setup
pip install omni-captions-skills --extra-index-url https://lattifai.github.io/pypi/simple/
API Key
Priority: GEMINI_API_KEY env → .env file → ~/.config/omnicaptions/config.json
If not set, ask user: Please enter your Gemini API key (get from https://aistudio.google.com/apikey):
Then run with -k <key>. Key will be saved to config file automatically.
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 · 166 lines · 38 tokens per session scan A 33f37f1b3f9d
omnicaptions-transcribe is a skill published in the GitHub repository lattifai/omni-captions-skills (22 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 1,368 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 2026-08-30.
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