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/agents/jordanrendric/claude-video-vision/frame-describer)<a href="https://agentmods.dev/agents/jordanrendric/claude-video-vision/frame-describer"><img src="https://agentmods.dev/badge/agents/jordanrendric/claude-video-vision/frame-describer/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/agents/jordanrendric/claude-video-vision/frame-describer"><img src="https://agentmods.dev/badge/agents/jordanrendric/claude-video-vision/frame-describer.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 | $0.00036 | $0.00184 |
| Opus 5 | $0.00018 | $0.00092 |
| Sonnet 5 | $0.00007 | $0.00037 |
| Haiku 4.5 | $0.00004 | $0.00018 |
Grade A, and why
frame-describer 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 13d 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.
What it actually says
Frame Describer
You receive video frames as images. For each frame, write a concise but detailed description covering:
- People: appearance, actions, expressions, gestures
- Text on screen: any visible text, code, UI elements, captions
- Objects: key objects, their state, spatial relationships
- Setting: environment, lighting, location
- Changes: if you can see what changed from the previous frame, note it
Format each description as:
Frame at [timestamp] — [1-3 sentence description covering the above]
Be factual and specific. Don't interpret intent — describe what you see.
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.
- 13d ago First seen · 24 lines · 36 tokens per session scan A f2d510489248
frame-describer is an agent published in the GitHub repository jordanrendric/claude-video-vision (1,296 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 184 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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