cognitive-forgeDual-value learning system - extracts reusable mental models from books, writes individual pattern files (patterns/{id}.md) with YAML frontmatter for buildin...
Install via ClawdBot CLI:
clawdbot install kedoupi/cognitive-forgeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Report → https://clawhub.aiCalls external URL not in known-safe list
https://img.shields.io/badge/ClawHub-Published-blueAI Analysis
The skill's primary function is local file processing and analysis; the external signals appear to be metadata badges for a published skill hub, not active data exfiltration endpoints. No evidence of credential harvesting, hidden instructions, or obfuscation was found in the provided definition.
Audited Apr 18, 2026 · audit v1.0
Generated Oct 6, 2026
用户设置定时任务,每天早晨自动调用 cognitive-forge,由 book-scout 搜索当周主题相关的书籍,选择一本进行 F.A.C.E.T. 分析,输出读书简报并写入知识库。用户无需手动选书,系统按星期-主题映射轮转(如周一商业战略、周二心理学),持续积累思维模型库。
用户读完一本重要书籍后,输入“深度分析《XXX》”,触发 depth mode,对同一本书连续提取多个核心思维模型并合并输出。适合需要深挖单一主题、构建完整认知框架的场景,如管理者研读《穷查理宝典》。
系统配置周日自动触发 Review Branch,从最近 7 天的记录中随机抽取 2-3 个思维模型,生成复习问答(核心框架、失效条件、应用场景),用户回复答案后系统查漏补缺。帮助用户对抗遗忘曲线,将模型真正内化为决策直觉。
每次运行不仅服务用户,还将提取的思维模型以 YAML frontmatter 格式永久写入 patterns/{id}.md,形成 AI 可调用的决策框架库。随着时间积累,AI 在回答任何领域问题时都能引用 Munger 式的“思维模型格栅”,实现自我进化。
通过配置 FEISHU_APP_TOKEN 或 NOTION_API_KEY,cognitive-forge 可将每次分析记录同步写入飞书多维表格或 Notion 数据库,方便团队共享读书笔记与思维模型,实现知识库的协作式沉淀。
面向终身学习者提供按月订阅的 cognitive-forge 托管服务,每日自动生成读书简报、每周复习提醒、知识库统计报告,用户无需自行部署和维护。
为企业提供定制化的思维模型知识库建设服务,根据企业所属行业和战略需求配置主题映射,批量分析相关书籍并为管理层构建共享的决策框架库。
cognitive-forge 核心 skill 开源免费,吸引开发者生态;通过云端托管版提供自动调度、多平台同步(飞书/Notion)、团队协作等增值功能实现商业化。
💬 Integration Tip
需先部署 book-scout 和 mental-model-forge 两个依赖 skill,并在 workspace 根目录创建 USER.md 以启用个性化的 [T] Transfer 分析;可选配置 FEISHU 或 NOTION 环境变量实现分析记录的外部同步。
Scored Oct 6, 2026
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