ai-instagram-organizer — security grade SAFE, quality 74/100

Security audit verdict: SAFE · quality 74/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by summitsingh · Agent Tool · ★ 76

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is ai-instagram-organizer safe to install? View the security audit →

About ai-instagram-organizer

📸 AI Instagram Organizer An AI-powered tool that automatically organizes your photos into Instagram-ready posts with smart captions, optimized hashtags, and multi-platform content generation. ✨ Features 🤖 AI-Powered Analysis Supports Llama (cloud, default), Ollama (local), and Gemini (cloud) AI providers Analyzes photos for Instagram worthiness and quality scoring Generates engaging captions with photo-specific references Smart hashtag generation and optimization Advanced computer vision quality analysis (optional) Instagram engagement prediction modeling 📅 Smart Organization Chronological post creation based on photo dates Highlights posts from remaining quality photos Configurable post sizes (default: 10 photos per post) Duplicate photo detection and removal Semantic context analysis for content diversity 🎨 Advanced Features (Optional) Auto-enhancement (brightness, contrast, saturation) Multiple format generation (square, story, reel) HEIC/HEIF to JPEG conversion Multi-platform content (Instagram, TikTok, Twitter, LinkedIn) Analytics and insights with visual charts Smart scheduling recommendations 🏷️ Hashtag Intelligence Competition-based hashtag categorization Trending...

aicaptionsclicloudgeminihashtagsinstagramllamalocalmedia

Quick Facts

Stars76
Forks14
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score73.6140050798405/100
Last Updated2025-09-19
Created2025-09-18
Platformscli, gemini, python
Est. Tokens~91k

Compatible Skills

These tools work well together with ai-instagram-organizer for enhanced workflows:

  • instagram_dm_mcp — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • claude-shorts — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • ollama-mcp — semantic(0.16)+complementary+shared_fw(ollama)+similar_pop+shared_platform (49%)

ai-instagram-organizer alternative? Top 6 similar tools

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Frequently Asked Questions

What is ai-instagram-organizer?

ai-instagram-organizer is AI-powered tool to organize photos into Instagram-ready posts with smart captions and hashtags. Supports both Ollama (local) and Gemini (cloud) AI providers.. It is categorized as a Agent Tool with 76 GitHub stars.

What programming language is ai-instagram-organizer written in?

ai-instagram-organizer is primarily written in Python. It covers topics such as ai, captions, cli.

How do I install or use ai-instagram-organizer?

You can find installation instructions and usage details in the ai-instagram-organizer GitHub repository at github.com/summitsingh/ai-instagram-organizer. The project has 76 stars and 14 forks, indicating an active community.

What license does ai-instagram-organizer use?

ai-instagram-organizer is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ai-instagram-organizer?

The top alternatives to ai-instagram-organizer on Agent Skills Hub include gptree, toolmate, curiso. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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