Agent Skills Model Card
这是可索引项目报告证据页：它保留 Agent Skills 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。
Agent Skills Model Card
| Field | Value |
|---|---|
| Repository | Olshansk/agent-skills |
| Category | Reusable Agent Skill Library |
| Stars / forks snapshot | 7 / 0 |
| Language | HTML |
| License | MIT |
| Raw capture | raw-github/olshansk_agent-skills.md |
| Updated by | hourly public metadata update, 2026-05-29 10:08 +0800 |
1. Role in Self Evolve
agent-skills provides reusable operational skill bundles designed to be installed and maintained across agent runtimes. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
package reusable operational skills -> validate with local tests and linting -> install into agent runtimes as modular capability units -> iterate via versioned skill updates
3. Evidence Path
web-observed GitHub page showed 7 stars, 0 forks, 150 commits, MIT license, and README instructions for curated installable skill sets. 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 Reusable Agent Skill Library: 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.