skillkit vs SkillNet
Package manager for AI agent skills — install from 400K+ skills across 31 sources, auto-translate between 46 agents' incompatible formats, security-scan on install, sync to every agent at once. — versus — Open skill infrastructure from ZJU NLP: search a 500K+ indexed skill library, install, generate skills from repos/docs/traces, score their quality, and compose/orchestrate them. SDK + CLI + MCP.
Both are registry-scale skill installers (400-500K skills indexed). skillkit's strength is cross-agent format translation across 46 agents plus security scanning on install; SkillNet's is the research stack — create from traces, evaluate quality, compose and orchestrate.
| skillkit | SkillNet | |
|---|---|---|
| Stars | 1.4k | 1.1k |
| Forks | 127 | 127 |
| Language | TypeScript | Python |
| License | Apache-2.0 | MIT |
| Last activity | 1 months ago | 5 days ago |
| Topics | coding, skills | skills |
| Curated connections | 11 | 3 |
skillkit — the curator's take
Use it the moment skills must live on more than one agent — you write Claude SKILL.md, a teammate runs Cursor: author once, `skillkit sync` translates and deploys everywhere; the install-time security scan is a real feature now that skill marketplaces are a prompt-injection vector. NOT needed if you're all-in on a single agent — Claude Code's first-party plugin/marketplace flow is simpler and better supported. Format translation is lossy at the edges (agent-specific frontmatter, hooks, tool references), so verify ported skills actually trigger; and treat the optional mesh/messaging/REST extras as experiments, not infrastructure.
SkillNet — the curator's take
Use it when you want skills treated like packages, not pasted folders: semantic search over a 500K+ GitHub-skill index is credential-free, and `evaluate` gives a safety/completeness/executability score before you drop a random skill into an agent. Create/evaluate/analyze need an OpenAI-compatible endpoint; `orchestrate` additionally needs a Claude-Agent-SDK-capable gateway and ships exactly one scene (sciatlas) so far. Prefer skillkit or asm when you just want install plus cross-agent format translation — SkillNet's edge is the research layer: skill creation from execution traces, quality scoring, and skill-relationship graphs, with an arXiv report behind it.