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Install in OpenClaw
/install psyvector-pv35
Description
紧急叫停、风险阻断
Usage Guidance
This skill contains an embedded persistent-memory system that will create and modify ~/.openclaw/pv_palace/memories.json and claims these memory functions are 'automatically' invoked. Before installing or enabling it: 1) Confirm you want automatic local persistence of preferences/decisions (may include sensitive info). 2) Ask the author how data is selected for storage, retention period, and whether it is encrypted. 3) Consider running the skill in a sandbox or with HOME redirected to a disposable folder to inspect what gets written. 4) If you proceed, restrict file permissions on the PV palace folder and periodically audit or delete memories.json. 5) If you do not want persistent storage or automatic invocation, do not install or request a version without the auto-memory behavior. The metadata does not declare the filesystem access — treat that as a red flag and get clarification before proceeding.
Capability Analysis
Type: OpenClaw Skill
Name: psyvector-pv35
Version: 3.0.0
The skill provides a local long-term memory system for the OpenClaw agent, allowing it to store and retrieve user preferences and session context in a local JSON file (~/.openclaw/pv_palace/memories.json). The Python code in SKILL.md is transparent, lacks network activity, and contains no evidence of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
The skill claims to be an 'emergency brake / risk blocker' but the SKILL.md focuses heavily on a persistent memory subsystem that auto-stores user preferences and decisions. Persistent long-term memory/storage is not obviously required for an emergency stop capability, so this is disproportionate to the stated purpose.
Instruction Scope
The runtime instructions include executable Python snippets that create a directory in the user's home, read/write a memories.json file, and provide examples of automatic calls (store_memory/search_memories/get_context). These instructions grant the agent discretion to persist and read arbitrary user-provided content across sessions. The skill text also suggests the memory functions will be '自动调用' (automatically invoked), which is vague and broad.
Install Mechanism
There is no install spec and no code files beyond SKILL.md, so nothing is written to disk by an installer. The risk comes from the provided runtime instructions rather than an install mechanism.
Credentials
Metadata declares no required config paths or env vars, but SKILL.md explicitly uses a path under the user's home (~/.openclaw/pv_palace/memories.json). That filesystem access is not documented in the manifest, and the skill can store arbitrary content (which may include sensitive data) without requesting or documenting credentials/consent.
Persistence & Privilege
The skill does not request 'always: true' and is user-invocable, but it instructs the agent to maintain persistent local memory across sessions. Persisting user decisions/preferences locally is a meaningful privilege; it's acceptable in principle but should be explicit in the metadata and require user consent/configuration (e.g., encryption, retention policy).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install psyvector-pv35 - After installation, invoke the skill by name or use
/psyvector-pv35 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.0.0
Added persistent memory module
Metadata
Frequently Asked Questions
What is PV_35?
紧急叫停、风险阻断. It is an AI Agent Skill for Claude Code / OpenClaw, with 89 downloads so far.
How do I install PV_35?
Run "/install psyvector-pv35" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is PV_35 free?
Yes, PV_35 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does PV_35 support?
PV_35 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created PV_35?
It is built and maintained by XU NING (@jkzfhq); the current version is v3.0.0.
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