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.
npx skills add jordanrendric/claude-video-vision --skill video-perceptiongit 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/skills/jordanrendric/claude-video-vision/video-perception)<a href="https://agentmods.dev/skills/jordanrendric/claude-video-vision/video-perception"><img src="https://agentmods.dev/badge/skills/jordanrendric/claude-video-vision/video-perception/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/jordanrendric/claude-video-vision/video-perception"><img src="https://agentmods.dev/badge/skills/jordanrendric/claude-video-vision/video-perception.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.01293 |
| Opus 5.5 | $0.00020 | $0.00517 |
| Sonnet 5.5 | $0.00010 | $0.00259 |
| Haiku 4.5 | $0.00005 | $0.00129 |
Grade A, and why
video-perception 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 21d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Perception
You have access to video understanding tools via the claude-video-vision MCP server.
Available Tools
video_analyze— Analyze video structure with ffmpeg filters (scene changes, silence, motion, etc.). Use this BEFORE extracting frames to plan your strategy.video_watch— Extract frames + process audio from a video. Supports variable FPS/resolution per segment.video_detail— Drill into specific segments. Separates extraction from viewing — extract many frames, view few at a time.video_info— Get video metadata without processing.video_configure— Change settings (backend, resolution, enable_index, etc.).video_setup— Check/install dependencies.
Workflow
IMPORTANT: You MUST follow these steps in order. Do NOT skip step 2.
-
Always start with
video_infoto get duration, resolution, and audio presence. If the user gives a YouTube URL, pass the URL directly aspath. The MCP server downloads it withyt-dlp, prefers YouTube subtitles/auto-captions for transcription, and falls back to the configured audio backend only when captions are missing, empty, or suspiciously incomplete. -
REQUIRED for videos > 30s: Call
video_analyzeBEFORE extracting any frames. This is NOT optional — it gives you structural data to make smart extraction decisions. Select filters relevant to the user's question:User intent Filters to select "What happens in this video?" scene_changes, silence, transcription "Find the scene transitions" scene_changes, black_intervals "Are there frozen/stuck parts?" freeze, blur "Is this a talking head or action?" motion "When does the music start?" silence, loudness "Analyze the lighting" exposure "Summarize this lecture" transcription, scene_changes, silence General / unclear intent scene_changes, silence, transcription Always include
transcription: truewhen the video has audio — the transcription tells you WHERE to look visually.
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.
- 21d ago Changed · +4 lines ed07b610734a
- 1mo ago First seen · 97 lines · 51 tokens per session scan A e4fc6ce4c6f2
video-perception is a skill published in the GitHub repository jordanrendric/claude-video-vision (1,426 stars, last pushed 13d ago), licensed MIT. It adds 51 tokens to every session and 1,293 once invoked, about $0.0002 per session on Opus 5.5. 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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