Awesome OpenClaw Plugin Index (rohitg00) Model Card
这是可索引项目报告证据页：它保留 Awesome OpenClaw Plugin Index (rohitg00) 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 Plugin Index (rohitg00) Model Card
| Field | Value |
|---|---|
| Repository | rohitg00/awesome-openclaw |
| Category | OpenClaw Plugin and Agent Skills Resource Index |
| Stars / forks snapshot | 512 / 123 |
| Language | Python |
| License | CC0-1.0 |
| Raw capture | raw-github/rohitg00_awesome-openclaw.md |
| Updated by | hourly public metadata update, 2026-06-01 13:52 +0800 |
1. Role in Self Evolve
rohitg00/awesome-openclaw is a high-activity curated index for OpenClaw plugins, skills, deployment patterns, and ecosystem resources. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
aggregate plugin, memory, observability, deployment, and benchmark resources around OpenClaw workflows -> structure links by operational problem class -> give installable and reusable pathways for skills and channels -> increase reproducibility of agent capability composition
3. Evidence Path
web-observed GitHub page showed 512 stars, 123 forks, 258 commits, CC0-1.0 licensing signal, and Python repository composition. 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 Plugin and Agent Skills Resource 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.