by liyingsong99 · MCP Server · ★ 227
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Blender, Unity & Godot MCP
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 | 227 |
| Forks | 33 |
| Language | C# |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-09-28 |
| Created | 2026-01-22 |
| Platforms | cli, codex, dotnet, mcp |
| Est. Tokens | ~377k |
AIBridge English | 中文 Design principles: simple, easy to use, stable. AIBridge is a project-local AI development harness for Unity. It combines project rules, AIBridge Skills, CLI tools, Runtime Bridge, code indexing, visual validation, input simulation, Player debugging, and workflow artifacts into a Unity work loop that Codex, Claude, Cursor, and other AI tools can use.
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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: