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 | 457 |
| Forks | 64 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 63/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-16 |
| Created | 2026-09-16 |
| Platforms | python |
| Est. Tokens | ~2k |
TypeSafe Mario An experimental controller that lets TypeSafe's Jev model directly choose NES controller inputs for the original Super Mario Bros. The model does not receive screenshots. The harness translates emulator telemetry and RAM into compact, object-centric JSON containing Mario's motion, jump trajectory, upcoming enemies, terrain, measured response delay, recent-control results, and...
Looking for a typesafe-mario alternative? If you're comparing typesafe-mario with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
All powerful skills of ClaudeKit.cc!
A tool uses Windows Filtering Platform (WFP) to block Endpoint Detection and Response (EDR) agents from report
A java agent to generate method mappings to use with the linux `perf` tool
Skills I use with Claude for shaping
A tool to make socks connections through HTTP agents
Open-source AI research assistant for biomedicine — chat to run RNA-seq, drug discovery, clinical analysis, an
Explore other popular ai 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: