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wuzimaki

Memory Management

by WuZiMaKi · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
400
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0
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0
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1
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Install in OpenClaw
/install trading-memory-management
Description
Manage and standardize trading decision records, extract lessons, and support history retrieval and comparison within the PAI trading system.
Usage Guidance
This skill's purpose (trading-memory management) is plausible, but the SKILL.md expects two Python scripts (memory_evaluator.py and auto_memory_manager.py) and references an absolute home path (/Users/zst/clawd/...). Before installing or enabling this skill: 1) ask the author to provide the missing scripts or a clear, portable install plan; 2) ensure the skill uses relative or configurable paths rather than hard-coded absolute paths to avoid accidental access to your home directory; 3) review exactly which files it will read/write and whether you trust it to archive/delete files; 4) run it in a sandbox or on a test dataset first; and 5) decline or mark as untrusted if the author cannot explain or remove the hard-coded paths and supply the referenced tooling. Additional information that would change the assessment: included script files, an install spec that clearly installs vetted code, or removal of absolute user paths in favor of configurable locations.
Capability Analysis
Type: OpenClaw Skill Name: trading-memory-management Version: 1.0.0 The `SKILL.md` file instructs the AI agent to manage 'Related Files' using absolute paths (`/Users/zst/clawd/MEMORY.md`, `/Users/zst/clawd/memory/`). These paths point to a specific user's home directory, which is outside the typical sandboxed or relative working directory for a skill. This constitutes a prompt injection risk, as it directs the agent to interact with files in a sensitive user directory, potentially leading to unauthorized data access, modification, or deletion, even if the stated purpose is benign memory management.
Capability Assessment
Purpose & Capability
The name and description (manage trading-memory, extract lessons, support retrieval/comparison) match the instructions' goals. However, the SKILL.md refers to helper scripts (memory_evaluator.py, auto_memory_manager.py) and a concrete home-directory path (/Users/zst/clawd/...) that are not supplied. A legitimate skill would either include those scripts or use generic locations; the tight coupling to an author's local paths is inconsistent with a reusable skill.
Instruction Scope
The instructions tell the agent to read, archive, and modify files under memory/ and an absolute path (/Users/zst/clawd/...), and to run named Python scripts. Because the skill is instruction-only and provides no code, an agent following these instructions may attempt to access arbitrary local files or fail unpredictably. The instructions also schedule periodic actions (daily/weekly maintenance) and mark files for archiving — these are file-write operations that modify user data and should be explicit and supplied with safe defaults.
Install Mechanism
There is no install spec and no code files, so nothing will be downloaded or installed by the skill itself. That lowers install-time risk, but also means required scripts are missing.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to the stated purpose. However, the SKILL.md references absolute user file paths which implicitly require filesystem access; that access is not declared or justified in metadata.
Persistence & Privilege
always is false and the skill is user-invocable only. It does not request permanent presence or system-wide config changes in its metadata. The instructions do describe periodic maintenance, but there is no mechanism in the package to register persistent services — the metadata does not request elevated persistence privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install trading-memory-management
  3. After installation, invoke the skill by name or use /trading-memory-management
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
交易记忆管理技能 v1.0.0 发布。 - 标准化交易决策记录与管理流程。 - 支持自动提炼经验教训、历史决策检索与对比。 - 明确区分四类记忆:日志、状态快照、规则库、错误清单。 - 新增自动评估和管理工具,提升记忆质量。 - 制定每日、每周记忆维护与归档协议。
Metadata
Slug trading-memory-management
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Memory Management?

Manage and standardize trading decision records, extract lessons, and support history retrieval and comparison within the PAI trading system. It is an AI Agent Skill for Claude Code / OpenClaw, with 400 downloads so far.

How do I install Memory Management?

Run "/install trading-memory-management" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Memory Management free?

Yes, Memory Management is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Memory Management support?

Memory Management is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Memory Management?

It is built and maintained by WuZiMaKi (@wuzimaki); the current version is v1.0.0.

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