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FAQ
No. It uses GitHub search and repository signals, but its core job is Agent Skill discovery, scoring, risk scanning, installation governance, and lifecycle management.
No. Small tasks should use built-in capabilities or already-installed skills. Search is reserved for high-value, repeated, latest/best, or capability-gap situations.
No. It can make risks visible and reject obvious high-risk candidates, but safety scans are heuristic.
Not by default. Unknown third-party skills require review and user approval before installation.
No. Awesome lists can be useful indexes, but linked projects remain candidates. Install individual skill folders only after review.
Both can use local skill folders with SKILL.md. The structure is shared; install paths and direct invocation syntax differ.
Prefer the smallest reliable skill set that solves the user's task.
- Home / 首页
- Installation / 安装
- Platform Install Paths / 安装路径区别
- Cross Platform Usage / 跨平台使用
- Discovery and Routing / 发现与路由
- Scoring and Risk Scan / 评分与风险扫描
- Skill Scoring Rubric / Skill 评分标准
- Prompt Injection Risk Examples / 风险例子
- Install Governance / 安装治理
- Safe Installation Workflow / 安全安装流程
- Skill Lifecycle / 生命周期管理
- Why Not Auto Install High Star Skills / 为什么不自动安装高 star skill
- FAQ / 常见问题