SEAD Model Card

这是可索引项目报告证据页：它保留 SEAD 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。

SEAD Model Card

1. Role in Self Evolve

SEAD is a benchmark for evaluating LLM-based agents on software system design tasks with an explicit self-evolving-agent framing. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.

2. Working Principle

benchmark architecture-level agent design quality -> compare model-generated system designs under controlled tasks -> score design quality and completion behavior -> reveal where self-evolving design loops fail

3. Evidence Path

web-observed GitHub page showed 20 stars, 1 fork, 1 commit, Apache-2.0 license, and README claiming the first benchmark focused on self-evolving system design agents. 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 Self-Evolving Agent Design Benchmark: 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.