Awesome Agent Skills Model Card

这是可索引项目报告证据页：它保留 Awesome Agent 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 Agent Skills Model Card

1. Role in Self Evolve

voltagent/awesome-agent-skills is a high-signal resource index for reusable agent skills across Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and adjacent coding-agent surfaces. It matters because self-evolving agents need inspectable memory, skill, harness, benchmark, and runtime substrates before improvement claims become trustworthy.

2. Working Principle

collect official and community skill packs -> normalize reader entry by tool and provider -> expose reusable procedures as installable skills -> keep the engineering skill ecosystem searchable and comparable

3. Evidence Path

web-observed GitHub page showed 24.2k stars, 2.6k forks, 359 commits, 5 open issues, 31 pull requests, visible MIT licensing, and a maintained skill directory centered on official engineering-team skill packs. This iteration keeps freshness honest: the snapshot comes from the public GitHub page observed on 2026-06-04, while shell GitHub API access remained blocked in this workspace.

4. Teaching Use

Use this card to explain Agent Skills Resource Index: it shows how raw public GitHub evidence becomes a project-facing teaching artifact inside the self-evolving-agent pipeline.

5. Limits

The repository was not cloned in this iteration; no benchmark run, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page signals unless independently revalidated later.