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/emdashcodes/claude-code-plugins/video-toolkitnpx skills add emdashcodes/claude-code-plugins --skill video-toolkitgit clone --depth 1 https://github.com/emdashcodes/claude-code-pluginsWhat 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 | $0.00074 | $0.14543 |
| Opus 5 | $0.00037 | $0.07272 |
| Sonnet 5 | $0.00015 | $0.02909 |
| Haiku 4.5 | $0.00007 | $0.01454 |
Grade C, and why
video-toolkit scanned grade C with 1 finding 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 2d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
4. Clean up: `rm -rf /tmp/video-toolkit-[timestamp]/partial-analyses` How it starts
The opening of the file, as written. The whole thing — 1,780 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Toolkit
Comprehensive video processing skill combining editing capabilities with multi-modal analysis (visual frames + audio transcription).
When to Use This Skill
Activate this skill when:
- User shares a video file (.mov, .mp4, .avi, .mkv, .webm, etc.)
- User asks to analyze, summarize, or understand video content
- User requests video editing operations (clip, merge, split)
- User asks questions about what's in a video
- You encounter "cannot read binary files" errors when trying to read video files
- Guides agents to use proper video analysis workflow
What this means for users:
When you share a video file, Claude will automatically recognize it and offer to analyze it properly using the video-toolkit, rather than attempting to read the binary file directly.
Prerequisites
Required Dependencies:
-
FFmpeg - Video processing and frame extraction
- Installation handled by
scripts/install_dependencies.sh - Verify:
ffmpeg -version
- Installation handled by
-
Python 3.8+ with virtual environment
- Installation handled by
scripts/install_dependencies.sh
- Installation handled by
-
OpenAI Whisper - Speech transcription (local, no API key required)
- Installed via pip in
.venv - Model: base (good balance of speed/accuracy)
- Other models available: tiny.en, small, medium, large
- Installed via pip in
-
Google Gemini API - Audio analysis and music detection
- Installed via pip in
.venv - Requires API key (see setup below)
- Model: gemini-2.5-flash
- Installed via pip in
-
Shazam API - Music identification
- Installed via pip in
.venv(shazamio) - No API key required (uses public endpoint)
- Installed via pip in
Setup:
Step 1: Install Dependencies
Run the installation script on first use:
bash ${CLAUDE_PLUGIN_ROOT}/skills/video-toolkit/scripts/install_dependencies.sh
This creates a Python virtual environment at ${CLAUDE_PLUGIN_ROOT}/skills/video-toolkit/.venv/ and installs the required packages (ffmpeg-python, openai-whisper, google-genai, shazamio).
Step 2: Configure API Keys
What ships with it
10 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.
- references/ffmpeg_commands.md 6.5 KB
- scripts/analyze_audio_gemini.py 8.3 KB runs code
- scripts/analyze_video.sh 11 KB runs code
- scripts/edit_video.py 9.2 KB runs code
- scripts/extract_audio.py 4.8 KB runs code
- scripts/extract_frames.py 11 KB runs code
- scripts/identify_music.py 10 KB runs code
- scripts/install_dependencies.sh 4.4 KB runs code
- scripts/setup_api_keys.py 5.0 KB runs code
- scripts/transcribe_audio.py 6.0 KB runs code
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.
- 2d ago First seen · 1,780 lines · 74 tokens per session scan C 56021b278fee
video-toolkit is a skill published in the GitHub repository emdashcodes/claude-code-plugins (13 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 14,543 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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