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在 OpenClaw 中安装
/install skill-trading-journal
功能描述
Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los...
安全使用建议
This skill appears coherent and only writes/reads a local journal file in ~/.openclaw/workspace/trading/journal.json. Before installing: (1) confirm you are comfortable storing potentially sensitive trade history at that path (consider encrypting or backing up the file), (2) review any other skills it references (skill-crypto-threshold-watcher, binance-pro, etc.) before enabling autonomous invocation, since integrations could cause the agent to pull or push trade signals or confirmations, and (3) note the SKILL.md references a 'rulebook' and other systems without details — if you rely on strict rule enforcement, verify where those rules live and how the agent will access them. No network calls, external downloads, or credential requests are present in the instructions.
功能分析
Type: OpenClaw Skill
Name: skill-trading-journal
Version: 1.0.0
The skill bundle provides a structured framework for an AI agent to maintain a trading journal, including logging trades, generating performance reports, and enforcing trading rules. All operations are localized to the workspace directory (~/.openclaw/workspace/trading/journal.json), and there are no indicators of data exfiltration, malicious execution, or prompt injection attacks in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description (trade logging, reports, pattern detection) match the instructions: reading/writing a journal JSON and generating reports. It does not request unrelated credentials, binaries, or system components.
Instruction Scope
Runtime instructions are narrowly scoped to logging trades, updating entries, and generating weekly/monthly reports from ~/.openclaw/workspace/trading/journal.json. It references other skills (skill-crypto-threshold-watcher, skill-catalyst-calendar, binance-pro, etc.) and a 'rulebook' without specifying how to access them; this is expected for integration but means the agent may seek context from those skills if available.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written during install, which minimizes installation risk.
Credentials
The skill declares no environment variables, credentials, or config paths beyond a single local journal path. Requested access appears proportional to its logging and reporting purpose.
Persistence & Privilege
always:false and default model invocation mean it won't be force-included. It writes to a local file in the agent workspace (~/.openclaw/workspace/trading/journal.json), which is reasonable for a journal; it does not request system-wide changes or other skills' configs.
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 skill-trading-journal - 安装完成后，直接呼叫该 Skill 的名称或使用
/skill-trading-journal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
Initial release of skill-trading-journal.
- Log every trade with detailed context including thesis, entry, exit, PnL, emotion, and lessons learned.
- Automatically generate weekly and monthly performance reports with win/loss breakdowns and strategy insights.
- Identify patterns in winning and losing trades by tracking structured data and emotional state.
- Enforce rules-based trade logging by requiring thesis, stop loss, take profit, position size, and catalyst.
- Integrate with signal sources, context providers, and trading/execution systems for automated workflows.
元数据
常见问题
Trading Journal 是什么？
Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2033 次。
如何安装 Trading Journal？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install skill-trading-journal」即可一键安装，无需额外配置。
Trading Journal 是免费的吗？
是的，Trading Journal 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Trading Journal 支持哪些平台？
Trading Journal 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 Trading Journal？
由 Zero2Ai（@zero2ai-hub）开发并维护，当前版本 v1.0.0。
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