agentmods.dev

ai-image-analysis-mcp: Instructions file for Claude Code

CLAUDE.md

ai-image-analysis-mcp CLAUDE.md is an instructions file for Claude Code from Omarbadran37/ai-image-analysis-mcp. It costs 6,652 tokens per session, scanned C, original, MIT.

A set of Claude Code instructions describing an image-analysis project built with Google’s Gemini 2.0 Flash model. Claude Code is a command-line coding agent that follows project instructions while working on source code.

In plain words
What is it for?
Guiding work on the project’s image-analysis engine, serverless Supabase deployment, MCP server, HTTP clients, and related interfaces.
Why use it?
It gives the agent project-specific context about the intended architecture, deployment options, security, and current implementation.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is Omarbadran37/ai-image-analysis-mcp's own configuration. It tells Claude Code how to work on ai-image-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 ai-image-analysis-mcp configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/photographer/images/lifestyle-beach-01.jpg.

not rated 0repo 1y ago C scan 6,652 tokens original MIT
View source ↗ Omarbadran37/ai-image-analysis-mcp
Reuse

Borrowing it

Nothing to install: this file belongs to Omarbadran37/ai-image-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/Omarbadran37/ai-image-analysis-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Omarbadran37/ai-image-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 ai-image-analysis-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/omarbadran37/ai-image-analysis-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/omarbadran37/ai-image-analysis-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/omarbadran37/ai-image-analysis-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/omarbadran37/ai-image-analysis-mcp/claude-md/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.

agentmods 80×15 button for ai-image-analysis-mcp CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/omarbadran37/ai-image-analysis-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/omarbadran37/ai-image-analysis-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6,652 This file is loaded in full into every session.
When invoked 6,652 The same file — it is already loaded in full.
Security scan C 2 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 $0.06652 $0.06652
Opus 5.5 $0.02661 $0.02661
Sonnet 5.5 $0.01330 $0.01330
Haiku 4.5 $0.00665 $0.00665

Measured 2mo ago against content hash 62e22689011f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

ai-image-analysis-mcp CLAUDE.md scanned grade C with 2 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 2mo 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.

Cloud metadata endpointhighServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

'169.254.169.254' // AWS metadata service

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "https://your-project.supabase.co/functions/v1/ai-image-analysis-mcp" \
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

CLAUDE.md · 794 lines

How it starts

The opening of the file, as written. The whole thing — 794 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Image Analysis MCP v2.0

AI-Powered Image Analysis with Google Gemini 2.0 Flash
Model Context Protocol server with serverless deployment and multi-client access

🚀 Mission Overview - Production Ready ✅

The AI Image Analysis MCP v2.0 represents a production-ready implementation of AI-powered visual intelligence processing. This battle-tested server provides comprehensive image analysis using Google Gemini 2.0 Flash with complete serverless deployment, advanced security features, modular architecture, and multiple client access methods.

Core Value Proposition: Transform any image into rich, intelligent analysis data through secure, scalable AI processing, with production-ready deployment options, enterprise-grade reliability, and flexible integration capabilities.

🎯 Production Status Overview

  • ✅ Real Gemini 2.0 Integration: Complete implementation (no mocks)
  • ✅ Serverless Deployment: Full Supabase Edge Function ready
  • ✅ Multiple Client Access: HTTP, MCP, Web, and cURL interfaces
  • ✅ Modular Architecture: Clean separation of concerns and maintainability
  • ✅ Enterprise Security: Comprehensive validation and monitoring
  • ✅ Performance Optimized: Sub-5-second response times at scale
  • ✅ Battle Tested: Production-ready error handling and recovery

🎯 Key Features

🧠 Production AI Analysis Engine

  • Google Gemini 2.0 Flash: Real API integration with latest multimodal AI capabilities
  • Automatic Type Detection: Intelligent classification between lifestyle and product images
  • Dynamic Analysis Adaptation: Analysis depth automatically adjusted based on image content
  • Contextual Intelligence: Advanced understanding of cultural, social, and commercial contexts
  • Quality Assessment: AI-powered evaluation of commercial viability and professional quality
  • Real-time Processing: Optimized for production speed with <5-second response times

📊 Comprehensive Analysis Intelligence

  • Lifestyle Analysis: Scene understanding, human behavior, environmental context, and narrative intelligence
  • Product Analysis: Technical specifications, design attributes, commercial potential, and market positioning
  • Marketing Intelligence: Target demographics, brand alignment, emotional hooks, and commercial applications
  • Cultural Analysis: Social significance, lifestyle values, aspirational elements, and cultural context

Read the full file on GitHub · 794 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. 2mo ago First seen · 794 lines · 6,652 tokens per session scan C 62e22689011f

Subscribe to this mod's changes

ai-image-analysis-mcp CLAUDE.md is an instructions file published in the GitHub repository Omarbadran37/ai-image-analysis-mcp (0 stars, last pushed 1y ago), licensed MIT. It adds 6,652 tokens to every session, about $0.0266 per session on Opus 5.5. A static security scan graded it C with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AI
Related

ai-image-analysis-mcp CLAUDE.md compared with instructions from other repositories

ai-image-analysis-mcp CLAUDE.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ai-image-analysis-mcp CLAUDE.mdOmarbadran37/ai-image-analysis-mcpInstructions file01y agoMITC6,652Claude Code
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode