by tkalevra · Agent Tool · ★ 64
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.
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 | 64 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-04-25 |
| Created | 2026-03-22 |
| Platforms | browser, python |
| Est. Tokens | ~31k |
superpowers-owui Open WebUI Tool port of Superpowers by Jesse Vincent. Brings the brainstorm → spec → plan → execute agentic development workflow to any Open WebUI installation using any OpenAI-compatible local or remote LLM. Credits This tool is a port of Superpowers by Jesse Vincent (obra), used under MIT license. The methodology, skill content, and workflow design are obra's work.
These tools work well together with SuperPowersWUI for enhanced workflows:
Looking for a SuperPowersWUI alternative? If you're comparing SuperPowersWUI 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.
Memory that learns what works.
Android keyboard with local AI (Ollama, Whisper, MCP) or cloud (Gemini, Groq, OpenAI)
This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite
A simple, intuitive toolkit for quickly implementing LLM powered applications.
The coding agent that gets more out of your AI subscription. Fastest and leanest of 20 agents tested, with unl
KEA Research - Multi-AI collaboration platform that combines responses from multiple AI models, cross-validate
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: