Project report / GitHub evidence
Claw Bench Model Card
这是可索引项目报告证据页：它保留 Claw Bench 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。
Claw Bench Model Card
| Field | Value |
|---|---|
| Repository | claw-bench/claw-bench |
| Category | 真实 Agent 任务基准 |
| Stars / forks snapshot | 171 / 18 |
| Language | Python |
| License | Apache-2.0 |
| Raw capture | raw-github/claw-bench_claw-bench.md |
| Updated by | hourly public metadata update, 2026-05-24 |
1. Role in Self Evolve
把真实 agent 产品直接放进任务环境，让 agent 读取 skill.md、执行实际工作，并通过 pytest verifier 与 leaderboard 形成评测闭环。
2. Working Principle
任务库 + skill.md 指令 + pytest verifier + weighted scoring + leaderboard。
3. Evidence Path
web GitHub page captured stars/forks/visible paths; shell GitHub API was blocked by DNS, so this run marks freshness as web-page observed rather than API verified.
4. Teaching Use
Use this card to explain whether a repository is a runtime, benchmark, harness-evolution loop, memory/skill substrate, or resource index. The key reading path is: raw capture -> classification row -> public site card -> project report -> aggregate GitHub analysis.
5. Limits
当前未克隆源码，未运行 benchmark；任务数量和 star 快照来自公开页面文本。