by arashsajjadi · Agent Tool · ★ 107
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 107 |
| Forks | 26 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 63/100 |
| Last Updated | 2026-06-14 |
| Created | 2025-02-15 |
| Platforms | python |
| Est. Tokens | ~9k |
📝 Understanding the Power of This Project Imagine being able to decode the essence of a video—not just frame by frame, but capturing its story, emotions, and context—without ever connecting to the internet. This project does exactly that.
Looking for a ai-powered-video-analyzer alternative? If you're comparing ai-powered-video-analyzer with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Token efficient translation tool based on ChatGPT or any OpenAI compatible LLM chat completion API
An MCP Server for Ollama
Browser Operator - The AI browser with built in Multi-Agent platform! Open source alternative to ChatGPT Atlas
OpenSkills: Run Claude Skills Locally using any LLM
An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder c
Analyse · Learn · Ingest · Curate · Export — AI-powered YOLO dataset management toolkit
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: