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交易代理提供了一个专用的记忆层，超越了简单的交易执行，提供了回忆、偏差检测和状态分析功能，这比基本提示词具有重大的附加值。",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","该技能已为生产做好准备，提供了清晰的设置说明、文档化的工具以及涵盖交易记录、回忆、状态检查和行为分析的工作流程。",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","该技能专门关注桥接 Binance 交易事件与 TradeMemory Protocol，为 AI 交易代理提供记忆和分析能力。",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","显示的描述准确地反映了技能的目标和核心功能，清晰地概述了其作为交易记忆桥梁的作用。",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","该技能暴露了定义良好、范围狭窄的动词-名词工具，如 `remember_trade`、`recall_memories` 和 `get_agent_state`。",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","所有 MCP 工具都具有清晰定义的参数，包括类型、必填状态和描述，并包含可选参数和适用的默认值。",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","工具名称如 `remember_trade`、`recall_memories` 和 `get_agent_state` 是交易领域内描述性的动词-名词对。",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","工具参数仅请求必要信息（例如，符号、价格、上下文），并且响应结构化，提供相关数据而不进行不必要的诊断转储。",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","该技能根据 MIT 许可证授权，如 SKILL.md 的 frontmatter 和 LICENSE 文件所示，这是一种宽松的开源许可证。",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","最新提交是在 2026 年 4 月 10 日，在过去 90 天内。",{"category":58,"check":62,"severity":24,"summary":63},"Dependency Management","README 指示 `pip install tradememory-protocol`，暗示标准的 Python 依赖管理，而 `setup.py`（根据典型的 Python 打包推断）将处理此问题。",{"category":65,"check":66,"severity":24,"summary":67},"Security","Secret Management","该技能通过记录和回忆交易数据来运行；它似乎不处理或暴露任何秘密，如 API 密钥或令牌。",{"category":65,"check":69,"severity":24,"summary":70},"Injection","该技能专注于结构化交易数据和记忆回忆；没有迹象表明加载或执行不受信任的第三方代码或数据作为指令。",{"category":65,"check":72,"severity":24,"summary":73},"Transitive Supply-Chain Grenades","该技能依赖于已安装的 `tradememory-protocol` 包和 Binance Spot 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Triggers on \"risk\", \"drawdown\", \"tilt\", \"position size\", \"lot size\", \"confidence\", \"revenge trading\", \"overtrading\", \"discipline\".","risk-management",{"claudeCode":12},"SKILL.md frontmatter at tradememory-plugin/skills/risk-management/SKILL.md",[347],{"path":305,"priority":271},{"basePath":349,"description":350,"displayName":351,"installMethods":352,"rationale":353,"selectedPaths":354,"source":294,"sourceLanguage":295,"type":245},"tradememory-plugin/skills/trading-memory","Domain knowledge for AI trading memory — Outcome-Weighted Memory (OWM) architecture, 5 memory types, recall scoring, and behavioral analysis. Use when recording trades, recalling similar contexts, analyzing performance, or checking behavioral drift. 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