Awesome Agent Skills (Skillmatic) Model Card
这是可索引项目报告证据页：它保留 Awesome Agent Skills (Skillmatic) 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 Agent Skills (Skillmatic) Model Card
| Field | Value |
|---|---|
| Repository | skillmatic-ai/awesome-agent-skills |
| Category | Cross-Framework Agent Skills Registry |
| Stars / forks snapshot | 1000 / 98 |
| Language | Markdown |
| License | CC0-1.0 |
| Raw capture | raw-github/skillmatic-ai_awesome-agent-skills.md |
| Updated by | hourly public metadata update, 2026-05-30 07:15 +0800 |
1. Role in Self Evolve
skillmatic-awesome-agent-skills is a large cross-framework directory of reusable agent skills spanning Codex, Claude Code, Cursor, Gemini, and other runtimes. 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 reusable skills in one index -> map installation paths for multiple agent runtimes -> standardize skill packaging and integration hints -> reduce onboarding and reproducibility cost for skill reuse
3. Evidence Path
web-observed GitHub page showed about 1k stars, 98 forks, 70 commits, CC0-1.0 license, and README guidance for installing skill packs across multiple agent runtimes. 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 Cross-Framework Agent Skills Registry: 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.