Awesome Scientific Skills Model Card
这是可索引项目报告证据页：它保留 Awesome Scientific 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。
Awesome Scientific Skills Model Card
| Field | Value |
|---|---|
| Repository | InternScience/Awesome-Scientific-Skills |
| Category | Scientific Agent Skill and Tooling Index |
| Stars / forks snapshot | 400 / 23 |
| Language | Markdown |
| License | MIT |
| Raw capture | raw-github/internscience_awesome-scientific-skills.md |
| Updated by | hourly public metadata update, 2026-05-28 10:00 +0800 |
1. Role in Self Evolve
Awesome-Scientific-Skills is a curated list of scientific-agent skills, tools, and workflows intended for reusable research automation. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
collect scientific task skills and tools -> map reusable research procedures -> connect benchmarks and methodology references -> support skill transfer into research agents
3. Evidence Path
web-observed GitHub page showed 400 stars, 23 forks, 19 commits, MIT license, and README positioning as an awesome list for scientific agent skills and methods. 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 Scientific Agent Skill and Tooling Index: 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.