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yourtutor
作者
Ayush Saklani
· GitHub ↗
· v1.0.0
· MIT-0
80
总下载
1
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tutorskill
功能描述
Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions,...
安全使用建议
This skill appears coherent and minimal: it only uses the student's provided notes/PDF and a syllabus and asks the agent to produce concise exam-ready outputs. Before installing or using it, consider: (1) Privacy — uploaded PDFs may contain sensitive personal data; check the platform's storage/retention policy before sharing. (2) Verify fidelity — the skill forbids adding outside knowledge, but models can hallucinate; ask for exact quoted excerpts or page references from your material to confirm important facts. (3) Tooling dependency — the skill assumes the agent can parse PDFs and count frequency; if the platform lacks reliable PDF parsing, results may be incomplete. If those considerations are acceptable, the skill's footprint and instructions are proportionate to its stated purpose.
功能分析
Type: OpenClaw Skill
Name: tutorskill
Version: 1.0.0
The skill bundle contains only metadata and markdown instructions (SKILL.md) for an AI agent to assist with exam preparation. It lacks executable code, network requests, or instructions that would lead to data exfiltration or unauthorized system access; in fact, it explicitly instructs the agent to restrict its knowledge base to the user-provided study materials.
能力评估
Purpose & Capability
The name/description (exam prep from student-provided PDF/notes + syllabus) match the SKILL.md instructions. Nothing requested (no env, no binaries, no installs) is disproportionate to the stated tutoring task.
Instruction Scope
The SKILL.md confines work to the provided material and syllabus and explicitly forbids outside knowledge; it asks the agent to analyze frequency in PDFs and produce concise outputs. The file does not specify how to parse PDFs (platform tooling will determine that), but there are no instructions to read unrelated files or environment variables.
Install Mechanism
Instruction-only skill with no install spec and no code files. This minimizes on-disk risk — nothing is downloaded or executed by the skill itself.
Credentials
The skill requires no environment variables, credentials, or config paths. Requested capabilities are proportional to an exam-prep assistant that only needs the student's uploaded material.
Persistence & Privilege
always is false and model invocation is enabled (the platform default). The skill does not request permanent presence or system-wide configuration changes.
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 tutorskill - 安装完成后，直接呼叫该 Skill 的名称或使用
/tutorskill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
v1.0.0 — Initial release
- Exam-type awareness (MCQ vs written mode)
- Triage mode: priority ordering when student has limited time
- Missing input handling (no PDF, no syllabus)
- Cross-references between related topics
- Practice question per topic
- Conflict resolution when PDF and syllabus scope differ
- Stripped output mode for ≤1 hour cramming sessions
元数据
常见问题
yourtutor 是什么？
Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 80 次。
如何安装 yourtutor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tutorskill」即可一键安装，无需额外配置。
yourtutor 是免费的吗？
是的，yourtutor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
yourtutor 支持哪些平台？
yourtutor 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 yourtutor？
由 Ayush Saklani（@ayushsaklani-min）开发并维护，当前版本 v1.0.0。
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