Project report / GitHub evidence

Awesome OpenClaw Plugins (Composio Community) Model Card

这是可索引项目报告证据页:它保留 Awesome OpenClaw Plugins (Composio Community) 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 Plugins (Composio Community) Model Card

FieldValue
Repositorycomposio-community/awesome-openclaw-plugins
CategoryOpenClaw Plugin Ecosystem Index and Skill Resource Map
Stars / forks snapshot43 / 10
LanguageTypeScript
LicenseCC0-1.0
Raw captureraw-github/composio-community_awesome-openclaw-plugins.md
Updated byhourly public metadata update, 2026-06-01 01:50 +0800

1. Role in Self Evolve

composio-community/awesome-openclaw-plugins curates OpenClaw plugin assets and operational playbooks into a structured ecosystem index. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.

2. Working Principle

curate installable OpenClaw plugins into structured categories -> map memory, security, observability, and multi-agent capabilities in one index -> provide concrete install commands as reusable operational skills -> accelerate capability discovery for agent workflow evolution

3. Evidence Path

web-observed GitHub page showed 43 stars, 10 forks, 6 commits, CC0-1.0 license, and TypeScript-based plugin resource structure. 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 Ecosystem Index and Skill Resource Map: 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.