Claude Code Video Vision is a plugin that lets Claude Code inspect videos by extracting image frames and producing timestamped audio transcriptions. It supports YouTube URLs and uses Gemini, local Whisper, or OpenAI processing backends, while the catalogue entries provide its commands, agent, and skill.
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.
git clone --depth 1 https://github.com/jordanrendric/claude-video-visionWrote 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/jordanrendric/claude-video-vision/setup-video-vision)<a href="https://agentmods.dev/commands/jordanrendric/claude-video-vision/setup-video-vision"><img src="https://agentmods.dev/badge/commands/jordanrendric/claude-video-vision/setup-video-vision/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/commands/jordanrendric/claude-video-vision/setup-video-vision"><img src="https://agentmods.dev/badge/commands/jordanrendric/claude-video-vision/setup-video-vision.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 | $0.00020 | $0.01069 |
| Opus 5 | $0.00010 | $0.00535 |
| Sonnet 5 | $0.00004 | $0.00214 |
| Haiku 4.5 | $0.00002 | $0.00107 |
Grade A, and why
setup-video-vision 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 10d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup Video Vision
Guide the user through configuring claude-video-vision step by step. Ask one question at a time using multiple choice. After each answer, proceed to the next step.
Step 1: Backend Selection
Ask the user:
Which backend do you want to use for audio analysis?
a) Gemini API (recommended) — Best quality. Analyzes audio natively with Gemini Flash. Free tier: 1500 requests/day. Requires a GEMINI_API_KEY (free at ai.google.dev).
b) Local (Whisper) — Free, fully offline. Uses whisper.cpp or openai-whisper for audio transcription. No cloud dependency.
c) OpenAI Whisper API — Good quality. Requires OPENAI_API_KEY. Paid per usage.
All backends use ffmpeg to extract video frames — Claude sees the frames directly.
After the user answers, call video_configure with the chosen backend.
Step 2: Whisper Configuration (only if backend is "local")
If the user chose Local, ask these questions one at a time:
Engine
Which whisper engine?
a) whisper.cpp (recommended) — Faster, less RAM, optimized for Mac/Linux
b) Python (openai-whisper) — More flexible, easier to extend
Call video_configure with whisper_engine.
Model
Which whisper model? Your system has [detect RAM with video_setup] of RAM.
a) tiny (75MB) — Very fast, basic quality
b) small (500MB) — Good balance of speed and quality
c) large-v3-turbo (1.5GB) — Best cost-benefit, recommended for 8GB+ RAM
d) large-v3 (2.9GB) — Maximum quality, recommended for 16GB+ RAM
e) auto — Let the plugin choose based on your hardware
Call video_configure with whisper_model.
Audio Tags
Enable Whisper-AT for non-speech audio detection? (coughs, music, animal sounds, etc.)
a) Yes — Detects non-speech events (requires Whisper-AT installed)
b) No — Speech transcription only
Call video_configure with whisper_at.
Step 3: Frame Configuration
Ask these one at a time:
Resolution
Frame extraction resolution (width in pixels, height auto-scales)?
a) 256px — Low res, fast, fewer tokens
b) 512px (default) — Good balance
c) 768px — Higher detail
d) 1024px — Maximum detail, more tokens
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.
- 10d ago First seen · 133 lines · 20 tokens per session scan A b6430f9648a2
setup-video-vision is a command published in the GitHub repository jordanrendric/claude-video-vision (1,294 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 1,069 once invoked, about $0.0001 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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cloud-run-debug
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delegate
Delegate a well-scoped subtask to Antigravity (agy/Gemini) under cost discipline, then verify.
create-epo-patent
Create a complete EPO-compliant patent application from invention disclosure through filing-ready package.
notebook-query
Query the notebook knowledge base (SQLite) built by /agy:notebook — precise, grounded, cited. Ask in natural language ("sum the amounts by category", "which docs mention 'Acme Corp'", "build a project timeline") or pass raw SQL. Read-only. Use this when you need exact aggregates/lookups across a document corpus…
model
Show or set the agy (Antigravity / Gemini) model by writing /.gemini/antigravity-cli/settings.json — the reliable way to switch models (the unreliable --model flag silently falls back to the default). No agy call; takes effect immediately, no plugin reinstall.