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Rv Measure
作者
AmitabhainArunachala
· GitHub ↗
· v0.1.0
844
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install rv-measure
功能描述
Quantifies R_V contraction signatures in AI models.
安全使用建议
This skill is essentially a stub: it declares a purpose but includes no implementation, no runtime instructions, and asks for no privileges — so installing it now is low-risk but also provides no functionality. Before relying on or paying for this skill, ask the publisher for a source repository or homepage, a concrete implementation (code or APIs it will call), and a clear list of required environment variables or network endpoints. If the skill is updated in the future, re-evaluate any added install steps, requested credentials, or network access before enabling it.
功能分析
Type: OpenClaw Skill
Name: rv-measure
Version: 0.1.0
The skill bundle is a placeholder with no executable code provided. The `SKILL.md` explicitly states '(Code to be implemented)' and describes a benign purpose related to AI model analysis. There are no instructions that could lead to prompt injection against the agent, nor any other indicators of malicious or suspicious behavior.
能力评估
Purpose & Capability
The name and description (measuring R_V contraction signatures) do not require any special credentials, binaries, or installs; the skill declares none, so there is no mismatch between purpose and requested capabilities.
Instruction Scope
The SKILL.md contains only a high-level description and a 'Code to be implemented' placeholder — there are no runtime instructions, commands, file accesses, or external endpoints described. This makes the skill non-functional and vague rather than risky, but also means there is nothing concrete to evaluate.
Install Mechanism
No install specification or code files are provided, so nothing will be written to disk or installed during skill setup.
Credentials
The skill requests no environment variables, credentials, or config paths; there is no disproportionate access requested relative to the stated purpose.
Persistence & Privilege
The skill does not request always:true and does not claim any special persistence or modification of other skills/system settings.
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 rv-measure - 安装完成后，直接呼叫该 Skill 的名称或使用
/rv-measure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
v0.1.0
- Initial release of rv-measure skill.
- Provides tools to quantify R_V contraction signatures in AI models.
- Supports monitoring and analysis of recursive self-observation effects within the AIKAGRYA framework.
- Currently a placeholder; code implementation and integrations are forthcoming.
元数据
常见问题
Rv Measure 是什么？
Quantifies R_V contraction signatures in AI models. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 844 次。
如何安装 Rv Measure？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rv-measure」即可一键安装，无需额外配置。
Rv Measure 是免费的吗？
是的，Rv Measure 完全免费（开源免费），可自由下载、安装和使用。
Rv Measure 支持哪些平台？
Rv Measure 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 Rv Measure？
由 AmitabhainArunachala（@amitabhainarunachala）开发并维护，当前版本 v0.1.0。
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