Momo OpenClaw Plugin Model Card
这是可索引项目报告证据页：它保留 Momo OpenClaw Plugin 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。
Momo OpenClaw Plugin Model Card
| Field | Value |
|---|---|
| Repository | momo-personal-assistant/openclaw-plugin |
| Category | Personal Assistant Plugin for OpenClaw Workflows |
| Stars / forks snapshot | 15 / 10 |
| Language | TypeScript |
| License | MIT |
| Raw capture | raw-github/momo-personal-assistant_openclaw-plugin.md |
| Updated by | hourly public metadata update, 2026-05-31 07:20 +0800 |
1. Role in Self Evolve
momo-personal-assistant/openclaw-plugin provides an OpenClaw plugin layer for personal-assistant style workflows with persistent task context. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
encode assistant behaviors as plugin capabilities inside OpenClaw -> retain user/task state and reminders across sessions -> orchestrate personal productivity actions through constrained tool calls -> evolve assistant behavior from interaction feedback and retained context
3. Evidence Path
web-observed GitHub page showed 15 stars, 10 forks, 7 commits, MIT license, and README context as an OpenClaw plugin for the Momo assistant project. 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 Personal Assistant Plugin for OpenClaw Workflows: 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.