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Pilot Ai Tutoring System Setup
作者
Calin Teodor
· GitHub ↗
· v1.0.0
· MIT-0
86
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install pilot-ai-tutoring-system-setup
功能描述
Deploy an adaptive AI tutoring system with 3 agents. Use this skill when: 1. User wants to set up a personalized tutoring or e-learning pipeline 2. User is c...
安全使用建议
This skill looks coherent for deploying a 3-agent Pilot tutoring pipeline, but before proceeding: 1) verify pilotctl and clawhub binaries are from trusted sources and understand what they install/manage; 2) review the JSON manifest that will be written under ~/.pilot/setups and back up any existing data there; 3) be aware the setup creates persistent agents that open network communication (handshakes and data on port 1002) and auto-approve trust when both sides handshake — run in a segmented or test network if unsure; 4) inspect any pilot-* packages you install (pilot-archive, pilot-chat, etc.) because they will run long-term and may require additional credentials or network access. If you want extra assurance, run the install steps manually rather than allowing an automated agent to perform them.
功能分析
Type: OpenClaw Skill
Name: pilot-ai-tutoring-system-setup
Version: 1.0.0
The skill bundle provides a legitimate framework for deploying a multi-agent AI tutoring system. The instructions in SKILL.md and README.md use standard ecosystem tools (pilotctl and clawhub) to configure hostnames, install necessary sub-skills, and establish peer-to-peer communication via handshakes. No evidence of data exfiltration, malicious execution, or unauthorized access was found.
能力评估
Purpose & Capability
The name/description (deploy a 3-agent adaptive tutoring setup) matches the actions the skill instructs: use pilotctl to set hostnames/handshakes and clawhub to install related pilot-* skills. Requiring pilotctl and clawhub is appropriate for this purpose.
Instruction Scope
Instructions are procedural and scoped to setup tasks (installing skills, writing a JSON manifest to ~/.pilot/setups, running pilotctl publish/subscribe and handshake commands). This involves creating files in the user's home directory and initiating network handshakes and inter-agent traffic on port 1002 — expected for a multi-agent setup but worth noting because it enables automatic trust establishment and cross-host data flows.
Install Mechanism
This is an instruction-only skill with no install spec or downloadable artifacts, so it doesn't itself write or execute new code. The install actions it tells the user to run (clawhub install) are external and therefore outside this skill's direct install risk surface.
Credentials
The skill declares no required environment variables or credentials. All declared dependencies are local binaries (pilotctl, clawhub) which are directly relevant to the described setup; there are no unrelated secrets requested.
Persistence & Privilege
The skill is user-invocable and not always-on. It instructs installing additional pilot-* skills via clawhub and to create persistent manifests under ~/.pilot — normal for this purpose but these actions grant ongoing presence to the installed pilot components and enable networked agent behavior, so the user should be aware.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install pilot-ai-tutoring-system-setup - 安装完成后,直接呼叫该 Skill 的名称或使用
/pilot-ai-tutoring-system-setup触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
Pilot Ai Tutoring System Setup 是什么?
Deploy an adaptive AI tutoring system with 3 agents. Use this skill when: 1. User wants to set up a personalized tutoring or e-learning pipeline 2. User is c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 86 次。
如何安装 Pilot Ai Tutoring System Setup?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pilot-ai-tutoring-system-setup」即可一键安装,无需额外配置。
Pilot Ai Tutoring System Setup 是免费的吗?
是的,Pilot Ai Tutoring System Setup 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Pilot Ai Tutoring System Setup 支持哪些平台?
Pilot Ai Tutoring System Setup 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Pilot Ai Tutoring System Setup?
由 Calin Teodor(@teoslayer)开发并维护,当前版本 v1.0.0。
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