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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.
Stars are a popularity signal, not a safety or fit guarantee. A high-star repository can still be stale, too broad, missing SKILL.md, poorly scoped, incompatible with the current task, or risky to install. See Why Not Auto Install High Star Skills.
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.
The README should make the project easy to understand and star quickly. The Wiki is for long-form install notes, scoring rules, risk examples, and governance detail.
不是。它会使用 GitHub 搜索和仓库信号,但核心是 Agent Skill 发现、评分、风险扫描、安装治理和生命周期管理。
不需要。小任务优先使用内置能力或已安装 skill。只有高价值、重复、latest/best 或能力缺口场景才值得搜索。
不能。安全扫描是启发式的,只能发现明显风险并让未知项可见。
默认不会。未知第三方 skill 需要 review 和用户确认后才能安装。
Stars 是热度信号,不是安全、匹配或可安装保证。高 star 项目仍可能没有 SKILL.md、触发范围过宽、过期或存在风险。
两者都可以使用本地 SKILL.md skill 目录,只是安装路径和调用语法不同。
- 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