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MasterinPhysics

作者 theshimaw-svg · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
100
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install physics-master
功能描述
Expert physics AI that analyzes problems, designs experiments, innovates projects, optimizes solutions, and learns continuously.
安全使用建议
This skill is internally coherent and low-risk: it contains only markdown modules for physics reasoning and requests no installs or credentials. Before enabling, check how OpenClaw stores the 'memory' it references (where logs are kept, retention, and access controls). Avoid feeding sensitive or private data into the skill's memory, and confirm you are comfortable with the platform's memory/agent-autonomy settings.
功能分析
Type: OpenClaw Skill Name: physics-master Version: 1.0.0 The skill bundle consists entirely of Markdown-based instructions designed to guide an AI agent in physics-related tasks such as theoretical analysis, experiment design, and innovation. There is no executable code, no network activity, and no evidence of malicious intent or prompt injection across any of the files (SKILL.md, theorist.md, experimenter.md, innovator.md, optimizer.md, memory.md).
能力评估
Purpose & Capability
Name, description, and the provided modules (theorist, experimenter, innovator, optimizer, memory) are coherent with an expert-physics skill; there are no unrelated environment variables, binaries, or install actions that would be unexpected for this purpose.
Instruction Scope
SKILL.md stays within physics analysis, experiment design, and iterative improvement. The only vagueness is the 'memory' behavior — it says the agent will 'log' and 'become more expert over time' but does not specify where or how logs are stored or how retention is managed. That vagueness can have privacy implications depending on the platform's memory implementation.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute; low risk from installation or disk-write mechanisms.
Credentials
No required environment variables, credentials, or config paths are declared — consistent with a purely instructional physics assistant.
Persistence & Privilege
Skill is not 'always' enabled and requests no special privileges, but it explicitly asks to 'log' experiments and 'become more expert' which implies use of the agent/platform memory. Confirm how the platform persists skill-provided memory and whether that memory will retain sensitive inputs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install physics-master
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /physics-master 触发
  4. 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
Check my x for more info about skills and for better skills: @SaasKafle
元数据
Slug physics-master
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

MasterinPhysics 是什么?

Expert physics AI that analyzes problems, designs experiments, innovates projects, optimizes solutions, and learns continuously. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 100 次。

如何安装 MasterinPhysics?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install physics-master」即可一键安装,无需额外配置。

MasterinPhysics 是免费的吗?

是的,MasterinPhysics 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

MasterinPhysics 支持哪些平台?

MasterinPhysics 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 MasterinPhysics?

由 theshimaw-svg(@theshimaw-svg)开发并维护,当前版本 v1.0.0。

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