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PV_38

作者 XU NING · GitHub ↗ · v3.0.0 · MIT-0
cross-platform ⚠ suspicious
89
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当前安装
1
版本数
在 OpenClaw 中安装
/install psyvector-pv38
功能描述
热点追踪、爆款跟进
安全使用建议
Before installing, consider these questions and actions: - Confirm where memories are stored and request that the author declare the config path in metadata (it currently uses ~/.openclaw/pv_palace/ but that is not declared). - Ask whether memory contents are encrypted, how long they are retained, and how to view/delete them. By default the file is plain JSON and may contain sensitive info. - The SKILL.md examples import a 'pv_memory' module, but no code files are included — ask the author to provide the module or explain how it will be created. Running the provided python -c commands as-is will fail or require creating files. - If you are uncomfortable with automatic persistent storage, request an opt-in toggle that asks for permission before saving memory, or run the skill in a sandboxed account/container. - If you proceed, inspect the created ~/.openclaw/pv_palace/memories.json file and its permissions, and avoid storing secrets or credentials through this skill. Request these clarifications from the publisher; unresolved issues make this skill suspicious rather than clearly benign.
功能分析
Type: OpenClaw Skill Name: psyvector-pv38 Version: 3.0.0 The skill implements a local long-term memory system for the OpenClaw agent, allowing it to store and retrieve user preferences and interaction history in a local JSON file located at `~/.openclaw/pv_palace/memories.json`. While the configuration sets `risk_reminder` to `False` and `caution_coefficient` to a low value (0.1) to favor speed, the provided Python code in `SKILL.md` contains no evidence of data exfiltration, malicious execution, or unauthorized access. The behavior is transparently documented and aligns with the stated purpose of providing a 'PsyVector Palace' memory architecture.
能力评估
Purpose & Capability
The skill claims 'viral content follow' and includes a momentum-style digital worker with persistent memory; keeping local memories is coherent with that purpose. However, the SKILL.md includes a small local persistence subsystem (PsyVector Palace) that is not declared in the metadata (see instruction_scope).
Instruction Scope
The SKILL.md's runtime examples read and write a local file at ~/.openclaw/pv_palace/memories.json and show Python functions for storing/searching memories. The skill metadata did not declare any required config paths. The example runtime commands import from 'pv_memory' (python module) but no code files are present in the package — so the instructions reference files/modules that don't exist in the bundle and will either fail or rely on creating/writing files in the user's home directory. The skill also states these memory functions are '自动调用' (automatically invoked), which means it may persist user data without an explicit, visible consent step.
Install Mechanism
Instruction-only skill with no install spec and no external downloads. There's no installer risk from network downloads or extracting archives.
Credentials
The skill requests no environment variables or credentials, which is good, but it reads/writes persistent data in the user's home directory (~/ .openclaw/pv_palace/) without declaring that config path. The memory file will store arbitrary user content unencrypted by default, which could include sensitive data. The number and sensitivity of stored items depend on runtime behavior (automatic storage of preferences/decisions), so this is a proportionality/privilege concern that should be made explicit in metadata and usage prompts.
Persistence & Privilege
The skill is not marked 'always:true' (good). However, it declares automatic long-term memory (persisting user content) combined with the platform's default of autonomous invocation means it can autonomously create and read persistent files in your home directory. That increases the effective blast radius compared to a purely stateless skill and should be disclosed and controlled.
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 psyvector-pv38
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /psyvector-pv38 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
v3.0.0
Added persistent memory module
元数据
Slug psyvector-pv38
版本 3.0.0
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

PV_38 是什么?

热点追踪、爆款跟进. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 89 次。

如何安装 PV_38?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install psyvector-pv38」即可一键安装,无需额外配置。

PV_38 是免费的吗?

是的,PV_38 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

PV_38 支持哪些平台?

PV_38 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 PV_38?

由 XU NING(@jkzfhq)开发并维护,当前版本 v3.0.0。

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