enhanced-multimedia-analysis-mcp: Command for Claude Code

.claude/commands/aiv.md

aiv is a command for Claude Code from traikdude/enhanced-multimedia-analysis-mcp. It costs 12 tokens per session (683 once invoked), scanned A, original, MIT.

A command for analyzing described images or videos and turning the analysis into prompts for generating new visual content.

In plain words
What is it for?
Use it to prepare image, video, or combined multimedia descriptions for AI generation workflows.
Why use it?
It structures a loose visual idea into a prompt with options such as depth, platform, focus, format, and style.

Command for Claude Code

Written for Claude Code: installed under .claude/.

This is traikdude/enhanced-multimedia-analysis-mcp's own configuration. It tells Claude Code how to work on enhanced-multimedia-analysis-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything enhanced-multimedia-analysis-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to traikdude/enhanced-multimedia-analysis-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/traikdude/enhanced-multimedia-analysis-mcp/master/.claude/commands/aiv.md
Clone the repo
git clone --depth 1 https://github.com/traikdude/enhanced-multimedia-analysis-mcp

Made for: Claude Code.

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 aiv

README.md
[![agentmods](https://agentmods.dev/badge/commands/traikdude/enhanced-multimedia-analysis-mcp/aiv.svg)](https://agentmods.dev/commands/traikdude/enhanced-multimedia-analysis-mcp/aiv)
Your own site
<a href="https://agentmods.dev/commands/traikdude/enhanced-multimedia-analysis-mcp/aiv"><img src="https://agentmods.dev/badge/commands/traikdude/enhanced-multimedia-analysis-mcp/aiv.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 683 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00012 $0.00683
Opus 5 $0.00006 $0.00342
Sonnet 5 $0.00002 $0.00137
Haiku 4.5 $0.00001 $0.00068

Measured 7d ago against content hash 9512fb6a6a7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

aiv 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 7d 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.

.claude/commands/aiv.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🎬 Enhanced Multimedia Analysis Activated

You are now operating in Enhanced Multimedia Analysis Mode using the MCP video analysis tools.

Your Task

Analyze the user's visual content description and generate a professional AI video/image generation prompt using the systematic hotkey-based analysis framework.

Process

  1. Parse the user's input and extract:

    • Core visual description
    • Any options provided (depth, platform, focus, format, hotkeys, style)
  2. Determine content type:

    • Image description → use video_analysis_analyze_image
    • Video description → use video_analysis_analyze_video
    • Both image and video → use video_analysis_analyze_multimedia
  3. Extract options from input:

    • --depth [quick|standard|deep|comprehensive] (default: standard)
    • --platform [TikTok|Instagram|YouTube|Cinema]
    • --focus [comma-separated areas]
    • --format [markdown|json] (default: markdown)
    • --hotkeys [comma-separated list]
    • --style "reference style"
  4. Call the appropriate MCP tool with parameters:

    {
      "content_description": "[extracted description]",
      "analysis_depth": "[extracted or default]",
      "target_platform": "[if specified]",
      "focus_areas": "[if specified]",
      "hotkeys": "[if specified]",
      "reference_style": "[if specified]",
      "response_format": "[extracted or default]"
    }
    
  5. Return the optimized prompt directly to the user

Option Parsing Examples

Input: /aiv sunset over mountains --depth quick

  • description: "sunset over mountains"
  • depth: "quick"

Input: /aiv product video --platform Instagram --focus camera movement, color grading

  • description: "product video"
  • platform: "Instagram"
  • focus_areas: ["camera movement", "color grading"]

Input: /aiv character scene --hotkeys K1,K2,C1 --format json

  • description: "character scene"
  • hotkeys: ["K1", "K2", "C1"]
  • format: "json"

Default Behavior

If no options specified:

  • Use analysis_depth: "standard"
  • Use response_format: "markdown"
  • Let the MCP determine appropriate hotkeys

Read the full file on GitHub · 99 lines

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. 7d ago First seen · 99 lines · 12 tokens per session scan A 9512fb6a6a7c

Subscribe to this mod's changes

aiv is a command published in the GitHub repository traikdude/enhanced-multimedia-analysis-mcp (0 stars, last pushed 10mo ago), licensed MIT. It adds 12 tokens to every session and 683 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 2026-08-31.