by MushroomFleet · Agent Tool · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/MushroomFleet/DJZ-NodesTaken from the project's README on GitHub.
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.
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 | 80 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 63/100 |
| Open Issues | 6 |
| Last Updated | 2026-04-07 |
| Created | 2024-03-14 |
| Platforms | python |
| Est. Tokens | ~150k |
DJZ-Nodes A comprehensive collection of custom nodes for ComfyUI that revolutionizes creative media workflows. This extensive node pack provides powerful tools for advanced image/video processing, audio manipulation, batch operations, prompt engineering, and workflow optimization.
Looking for a DJZ-Nodes alternative? If you're comparing DJZ-Nodes 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.
Local-first AI image organizer and generative media library manager for ComfyUI, A1111, InvokeAI & more. Searc
Advanced AI tagging and prompt generation studio.
MCP server + embedded terminal that lets Claude Code see and edit your ComfyUI workflows
A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.
The Ultimate Claude Code Toolkit: 180 skills, 10 agents, 29 commands, 7 hooks, and 81 marketplace repos (11,00
🚀 MCP aggregator for batching multiple tool calls into a single request. Reduces overhead, saves tokens, and
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: