plan-reviewValidated pre-market, intraday, and post-market reports
Install via ClawdBot CLI:
clawdbot install fize/plan-reviewGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://clawhub.ai/user/fizeAudited Oct 6, 2026 · audit v1.0
Generated Oct 6, 2026
个人交易者在开盘前使用该技能，结合 market-intel 提取隔夜外盘、宏观要闻等事实，生成包含最多三条可证伪假设的盘前计划。午间和收盘后分别采集市场快照，形成盘中复盘与盘后复盘报告，用于逐条核对假设、识别题材生命周期并规划次日观察清单。
量化研究员利用该技能的数据包与模板，标准化跟踪题材从观察、启动、扩散、高潮、分歧到退潮的六类生命周期。通过对比午间和收盘原始数据，验证广度、强度、持续性、资金一致性和反证，避免从报告文本反推数值。
交易团队使用该技能生成结构化盘前、盘中、盘后报告，并借助纪律打分与交易日志功能，约束成员遵循证据引用和量化陈述规范。报告通过 validate 校验后才能交付，确保团队决策基于已校验的市场数据而非主观判断。
财经自媒体或内容创作者使用该技能自动生成盘前计划、午间复盘和收盘复盘，获得带有证据编号的量化陈述和结构化的市场概览。创作者可基于这些高度规范的报告快速产出有数据支撑的市场评论和视频脚本。
交易培训平台将该技能嵌入课程，让学员在模拟或真实市场环境中练习盘前假设制定、午间验证和盘后复盘。通过评审报告中的错误引用、章节完整性和纪律打分，教师可以量化评估学员的市场分析能力。
面向个人交易者提供按月或按年订阅的桌面/命令行工具包，包含自动数据采集、报告模板和纪律打分功能。用户按交易日运行 worklfow.py 生成报告，数据存储本地，强调隐私与审计可追溯。
向私募、资管团队提供多席位授权，支持团队成员共享自选股配置、报告归档和合规审计日志。可扩展为内部部署版本，增加角色权限管理和管理层汇总视图，帮助机构统一交易纪律。
将技能封装为交易培训课程的实战模块，学员在课程中借助该工具生成报告并获得教师点评。平台可收取课程费用，或按学员账户收取增值服务费，教师端可查看学员报告与纪律评分。
💬 Integration Tip
该技能依赖 Python3 与 market 技能的数据采集环境，建议提前配置好 market/.venv 并按交易日窗口运行 capture，确保快照时间戳与数据包一致性。报告生成后务必运行 validate 进行校验，避免因数据缺失或引用错误导致交付失败。
Scored Oct 6, 2026
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