Awesome OpenClaw Skills Model Card
这是可索引项目报告证据页：它保留 Awesome OpenClaw 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 OpenClaw Skills Model Card
| Field | Value |
|---|---|
| Repository | VoltAgent/awesome-openclaw-skills |
| Category | OpenClaw Skill and Agent Workflow Index |
| Stars / forks snapshot | 49400 / 4800 |
| Language | Markdown |
| License | MIT |
| Raw capture | raw-github/voltagent_awesome-openclaw-skills.md |
| Updated by | hourly public metadata update, 2026-05-28 10:00 +0800 |
1. Role in Self Evolve
awesome-openclaw-skills is a large curated index of OpenClaw skills, prompts, and reusable agent workflow assets. 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 OpenClaw skills and tools -> categorize by use case and domain -> provide fast lookup and install references -> support reusable skill adoption
3. Evidence Path
web-observed GitHub page showed 49.4k stars, 4.8k forks, 390 commits, MIT license, and README claim of a 1000+ item skill catalog. 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 OpenClaw Skill and Agent Workflow 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.