PinchBench Skill Model Card
这是可索引项目报告证据页：它保留 PinchBench Skill 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。
PinchBench Skill Model Card
One Sentence
PinchBench is one of the clearest benchmark anchors in this corpus: not a self-evolving runtime, but the evaluator substrate that makes self-improvement claims comparable.
Three Sentences
It spans productivity, research, writing, coding, analysis, email, memory, and skill-discovery tasks rather than a single narrow benchmark lane. That makes it important for this survey’s “benchmark as selection pressure” thread. The 2026-06-17 morning packet nudged the public star count again, so the benchmark anchor also needed a same-day metadata refresh.
Model Card
| Field | Value |
|---|---|
| Repository | pinchbench/skill |
| Source | raw-github/pinchbench_skill.md |
| Category | Real-world agent task benchmark |
| Pattern | task suite -> OpenClaw agent execution -> automatic and/or LLM judging -> transcript retention -> optional leaderboard upload |
| Evidence | Authenticated GitHub API snapshot, 2026-06-17 08:29 +0800 |
Teaching Use
Use PinchBench to explain why benchmark infrastructure matters as much as the agent loop itself. Without evaluator strength and saved transcripts, improvement stays anecdotal.
Evidence And Limits
The raw capture now reflects a GitHub metadata packet observed on 2026-07-05: 1,261 stars, 144 forks, 383 commits, 21 open issues, and 0 open pull requests. This packet is fresher than the previous authenticated packet at 2026-07-05 01:38 +0800 where a delta was observed. This run did not execute the repository locally, validate workflows end to end, or independently rerun benchmark claims. Product, memory, benchmark, and automation claims therefore remain repository-scoped unless separately tested.