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-convertgit 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-convert)<a href="https://agentmods.dev/skills/lattifai/omni-captions-skills/omnicaptions-convert"><img src="https://agentmods.dev/badge/skills/lattifai/omni-captions-skills/omnicaptions-convert/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-convert"><img src="https://agentmods.dev/badge/skills/lattifai/omni-captions-skills/omnicaptions-convert.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 | $0.00037 | $0.02010 |
| Opus 5 | $0.00018 | $0.01005 |
| Sonnet 5 | $0.00007 | $0.00402 |
| Haiku 4.5 | $0.00004 | $0.00201 |
Grade A, and why
omnicaptions-convert 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caption Format Conversion
Convert between 30+ caption/caption formats using lattifai-captions.
⚡ YouTube Workflow
# 1. Transcribe YouTube video directly
omnicaptions transcribe "https://youtube.com/watch?v=VIDEO_ID" -o transcript.md
# 2. Convert to any format
omnicaptions convert transcript.md -o output.srt
omnicaptions convert transcript.md -o output.ass
omnicaptions convert transcript.md -o output.vtt
When to Use
- Converting SRT to VTT, ASS, TTML, etc.
- Converting Gemini markdown transcript to standard caption formats
- Converting YouTube VTT (with word-level timestamps) to other formats
- Batch format conversion
When NOT to Use
- Need transcription (use
/omnicaptions:transcribe) - Need translation (use
/omnicaptions:translate)
Setup
pip install omni-captions-skills --extra-index-url https://lattifai.github.io/pypi/simple/
Quick Reference
| Format | Extension | Read | Write |
|---|---|---|---|
| SRT | .srt |
✓ | ✓ |
| VTT | .vtt |
✓ | ✓ |
| ASS/SSA | .ass |
✓ | ✓ |
| TTML | .ttml |
✓ | ✓ |
| Gemini MD | .md |
✓ | ✓ |
| JSON | .json |
✓ | ✓ |
| TXT | .txt |
✓ | ✓ |
Full list: SRT, VTT, ASS, SSA, TTML, DFXP, SBV, SUB, LRC, JSON, TXT, TSV, Audacity, Audition, FCPXML, EDL, and more.
CLI Usage
# Convert (auto-output to same directory, only changes extension)
omnicaptions convert input.srt -t vtt # → ./input.vtt
omnicaptions convert transcript.md # → ./transcript.srt
# Specify output file or directory
omnicaptions convert input.srt -o output/ # → output/input.srt
omnicaptions convert input.srt -o output.vtt # → output.vtt
# Specify format explicitly
omnicaptions convert input.txt -o out.srt -f txt -t srt
ASS Style Presets
When converting to ASS format, use --style to apply preset styles:
omnicaptions convert input.srt -o output.ass --style default # White text, bottom
omnicaptions convert input.srt -o output.ass --style top # White text, top
omnicaptions convert input.srt -o output.ass --style bilingual # White + Yellow (for bilingual)
omnicaptions convert input.srt -o output.ass --style yellow # Yellow text, bottom
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 · 227 lines · 37 tokens per session scan A b79af8c04f43
omnicaptions-convert is a skill published in the GitHub repository lattifai/omni-captions-skills (22 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 2,010 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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