Zo Skills Registry Model Card
这是可索引项目报告证据页：它保留 Zo Skills Registry Model Card 的源材料入口、机制线索和限制提醒；正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。
Zo Skills Registry Model Card
| Field | Value |
|---|---|
| Repository | zocomputer/skills |
| Category | Open Agent Skills Registry and Distribution Layer |
| Stars / forks snapshot | 40 / 40 |
| Language | TypeScript |
| License | MIT |
| Raw capture | raw-github/zocomputer_skills.md |
| Updated by | hourly public metadata update, 2026-05-30 19:17 +0800 |
1. Role in Self Evolve
zocomputer/skills is an agent skills registry that unifies official, external, and community skill packages with validation and manifest generation. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
maintain a curated multi-source skills registry -> validate skill package structure -> sync external skill feeds into a manifest -> distribute reusable skills into agent runtimes with consistent metadata
3. Evidence Path
web-observed GitHub page showed 40 stars, 40 forks, 126 commits, MIT license, and README positioning as an agent skills registry. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Open Agent Skills Registry and Distribution Layer: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.
5. Limits
The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.