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analyze-video

analyze-video is a skill for Claude Code from gowtham012/Claude-plugins. It costs 40 tokens per session (417 once invoked), scanned A, original, MIT.

A video-analysis command that examines a video for scenes, visible text, movement, spoken words, and colors.

In plain words
What is it for?
Extracting keyframes, text, motion events, transcripts, and color information from video files.
Why use it?
It gathers details from both the picture and sound, reducing the need to inspect the video manually.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Part of the video-insight plugin — 17 skills shipped together

not rated 5 5mo ago A scan 40 tokens original MIT
View the source file gowtham012/Claude-plugins
Install

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.

agentmods
npx agentmods add skills/gowtham012/claude-plugins/analyze-video
Any agent
npx skills add gowtham012/Claude-plugins --skill analyze-video
Clone the repo
git clone --depth 1 https://github.com/gowtham012/Claude-plugins

Made for: Claude Code.

Or install video-insight, the plugin that ships this one along with the rest of its 17 skills.

Wrote 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.

agentmods badge for analyze-video

README.md
[![agentmods](https://agentmods.dev/badge/skills/gowtham012/claude-plugins/analyze-video.svg)](https://agentmods.dev/skills/gowtham012/claude-plugins/analyze-video)
Your own site
<a href="https://agentmods.dev/skills/gowtham012/claude-plugins/analyze-video"><img src="https://agentmods.dev/badge/skills/gowtham012/claude-plugins/analyze-video.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00417
Opus 5 $0.00020 $0.00209
Sonnet 5 $0.00008 $0.00083
Haiku 4.5 $0.00004 $0.00042

Measured 6d ago against content hash c0eb2724320c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

analyze-video 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 6d 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.

video-insight/skills/analyze-video/SKILL.md · 56 lines

What it actually says

Analyze the video at path: $ARGUMENTS

Steps

  1. Call MCP tool mcp__video-insight__analyze_video with:

    • video_path = $0
    • output_dir = ./video_analysis (default)

  2. Read the returned manifest carefully:

    • metadata — resolution, fps, duration, video type
    • scenes[] — each scene's keyframe image, OCR text, motion level, transcript segment
    • transcript — full timestamped speech-to-text
    • summary — high-level stats and detected UI elements

  3. For each scene, examine:

    • Keyframe image (keyframe_path)
    • detected_text — exact strings visible on screen
    • transcript_overlap — narration during this scene
    • motion_detected / motion_level — animations or changes

  4. Produce a structured markdown report:

## Video Analysis: <filename>

**Duration:** Xs | **Scenes:** N | **Resolution:** WxH | **Has Audio:** yes/no

### Overview
<2-3 sentence summary>

### Scene Breakdown
| Scene | Time | Summary | Key Text | Motion |
|-------|------|---------|----------|--------|
| 0 | 0s-12s | ... | ... | Low |

### Narration Summary
<condensed transcript>

### Key Content Extracted
- Headlines: ...
- CTAs: ...
- Prices: ...
- Features: ...

### UI/UX Notes
- Layout / Navigation / Color scheme / Interactions
Changes

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.

  1. 6d ago First seen · 56 lines · 40 tokens per session scan A c0eb2724320c

Subscribe to this mod's changes

analyze-video is a skill published in the GitHub repository gowtham012/Claude-plugins (5 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 417 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 2026-08-31.

Creative and mediaclaude-codeclaude-pluginmcpopen-sourcesession-persistence
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