Project report / GitHub evidence

Apify Agent Skills Library Model Card

这是可索引项目报告证据页:它保留 Apify Agent Skills Library 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。

Apify Agent Skills Library Model Card

FieldValue
Repositoryapify/agent-skills
CategoryReusable Skills Library for Coding Agents and Automation Workflows
Stars / forks snapshot2100 / 228
LanguagePython
LicenseApache-2.0
Raw captureraw-github/apify_agent-skills.md
Updated byhourly public metadata update, 2026-06-02 01:55 +0800

1. Role in Self Evolve

apify/agent-skills curates reusable skills for coding agents to improve execution quality across software and automation tasks. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.

2. Working Principle

package reusable skill prompts and procedures for coding agents -> map repeated engineering tasks into skill modules -> compose skill units into longer autonomous workflows -> improve reliability and transferability of agent execution behavior

3. Evidence Path

web-observed GitHub page showed 2.1k stars, 228 forks, 152 commits, Apache-2.0 license, and explicit reusable coding-agent skills positioning. 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 Reusable Skills Library for Coding Agents and Automation 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.