SWE-Skills-Bench Model Card
这是可索引项目报告证据页：它保留 SWE-Skills-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。
SWE-Skills-Bench Model Card
| Field | Value |
|---|---|
| Repository | GeniusHTX/SWE-Skills-Bench |
| Category | Agent Skills 效果基准 |
| Stars / forks snapshot | 42 / 7 |
| Language | Python |
| License | MIT |
| Raw capture | raw-github/geniushtx_swe-skills-bench.md |
| Updated by | hourly public metadata update, 2026-05-24 |
1. Role in Self Evolve
SWE-Skills-Bench 是评估 skill 文档注入是否提升真实软件工程任务表现的 benchmark，提供 49 个任务、skill/no-skill 对照运行和结果统计脚本。
2. Working Principle
49 SWE 任务 -> skill/no-skill 对照 -> Docker 执行 -> pass-rate/token/duration 对比
3. Evidence Path
web GitHub page observed 49-task benchmark README, Hugging Face dataset loading path, Docker/Claude Code evaluation commands, MIT license, 13 commits, and public star/fork snapshot; shell GitHub API was blocked by DNS and gh auth was invalid, 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；star/fork/commit 快照来自公开 GitHub 页面文本。