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在 OpenClaw 中安装
/install trading-memory-management
功能描述
Manage and standardize trading decision records, extract lessons, and support history retrieval and comparison within the PAI trading system.
安全使用建议
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.
功能分析
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.
能力评估
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.
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 trading-memory-management - 安装完成后，直接呼叫该 Skill 的名称或使用
/trading-memory-management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
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。
元数据
常见问题
Memory Management 是什么？
Manage and standardize trading decision records, extract lessons, and support history retrieval and comparison within the PAI trading system. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 400 次。
如何安装 Memory Management？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trading-memory-management」即可一键安装，无需额外配置。
Memory Management 是免费的吗？
是的，Memory Management 完全免费（开源免费），可自由下载、安装和使用。
Memory Management 支持哪些平台？
Memory Management 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 Memory Management？
由 WuZiMaKi（@wuzimaki）开发并维护，当前版本 v1.0.0。
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