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 agentmods add skills/basher83/lunar-claude/video-processornpx skills add basher83/lunar-claude --skill video-processorgit clone --depth 1 https://github.com/basher83/lunar-claudeWrote 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/basher83/lunar-claude/video-processor)<a href="https://agentmods.dev/skills/basher83/lunar-claude/video-processor"><img src="https://agentmods.dev/badge/skills/basher83/lunar-claude/video-processor.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 | $0.00023 | $0.02136 |
| Opus 5 | $0.00012 | $0.01068 |
| Sonnet 5 | $0.00005 | $0.00427 |
| Haiku 4.5 | $0.00002 | $0.00214 |
Grade A, and why
Video Processor 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 5d 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.
This is a copy
89% identical to video-processor — 105 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Processor
Instructions
This skill provides video processing utilities including audio extraction, format conversion, and audio transcription using FFmpeg and OpenAI's Whisper model.
Prerequisites
Required tools (must be installed in your environment):
-
FFmpeg: Multimedia framework for video/audio processing
# macOS brew install ffmpeg # Ubuntu/Debian apt-get install ffmpeg # Verify installation ffmpeg -version -
OpenAI Whisper: Speech-to-text transcription model
# Install via pip pip install -U openai-whisper # Verify installation whisper --help
Python packages (included in script via PEP 723):
- click (CLI framework)
- ffmpeg-python (Python wrapper for FFmpeg)
Workflow
Use the scripts/video_processor.py script for all video processing tasks. The script provides a
simple CLI with the following commands:
1. Extract Audio from Video
Extract the audio track from a video file:
uv run .claude/skills/video-processor/scripts/video_processor.py extract-audio input.mp4 output.wav
Options:
--format: Output audio format (default: wav). Supports: wav, mp3, aac, flac- Output is suitable for transcription or standalone audio use
2. Convert Video to MP4
Convert any video file to MP4 format:
uv run .claude/skills/video-processor/scripts/video_processor.py to-mp4 input.avi output.mp4
Options:
--codec: Video codec (default: libx264). Common options: libx264, libx265, h264--preset: Encoding speed/quality preset (default: medium). Options: ultrafast, fast, medium, slow, veryslow
3. Convert Video to WebM
Convert any video file to WebM format (web-optimized):
uv run .claude/skills/video-processor/scripts/video_processor.py to-webm input.mp4 output.webm
Options:
--codec: Video codec (default: libvpx-vp9). Options: libvpx, libvpx-vp9- WebM is optimized for web playback and streaming
4. Transcribe Audio with Whisper
What ships with it
1 file 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.
- 5d ago First seen · 312 lines · 23 tokens per session scan A f29a6275687d
Video Processor is a skill published in the GitHub repository basher83/lunar-claude (22 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 2,136 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to video-processor, differing in 105 lines, and is treated as a copy.
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