据 AlphaMoat 统计,截至 2026-09,Rationality 累计下载 4,275 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 2,310 位,在「专业领域」分类(465 个)中排名第 190 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 119 | 3,541 | 2 | - |
| SkillHub ↗ | 119 | 4,275 | 2 | — |
各平台的计数口径不同,站内汇总取各平台中的较大值,不相加。
从想法、目标、语境出发,寻找会使方案失败的关键反例,检查任务是否超出纠错能力,并建立接收批评与修正的路径。
资料发布于 2026-10-26
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起为新口径(全目录统计);此前为旧口径(只统计安装量为正的技能、同名技能合并计数)。两段不可直接比较,图中不跨口径连线,也不计算跨口径的增长。
| 月份 | 累计下载 | 环比 | 星标 | 累计安装 |
|---|---|---|---|---|
| 2026-09 | 4,275 | — | 2 | 119 |
| 2026-08旧口径 | 3,578 | +3.6% | 2 | 119 |
| 2026-07旧口径 | 3,453 | +8.4% | 2 | 119 |
| 2026-06旧口径 | 3,186 | +3.8% | 2 | 119 |
| 2026-05旧口径 | 3,068 | — | 2 | 9 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
# Rationality Skill (Critical Fallibilism) The Rationality skill provides a structured framework for thinking, decision-making, and error correction based on the principles of **Critical Fallibilism (CF)**. Unlike traditional rationality which often relies on "weighing" evidence, CF focuses on binary evaluation, error detection, and managing the limits of human (and AI) cognition. ## Quick Start 1. **Define your IGC Triple:** What is the **Idea**, the specific **Goal**, and the **Context**? 2. **Translate to Binary:** Don't ask "how good" an idea is. Ask: "Is there a decisive reason this idea fails at the goal?" 3. **Check for Overreach:** Is the complexity of the task exceeding your ability to detect and fix errors? (See `patterns/overreach.md`). 4. **Seek Criticism:** Treat every error found as a gift—a specific piece of knowledge that allows you to improve. ## Core Principles ### 1. The Pledge (Honesty) Always be willing to follow the truth wherever it leads. Never suppress a criticism or intuition just because it is inconvenient or socially awkward. ### 2. Binary Evaluation Knowledge is digital, not analog. Ideas are either **refuted** (they have a known flaw that makes them fail their goal) or **non-refuted**. We do not use "weights," "scores," or "probabilities" to judge ideas. One decisive criticism is enough to reject an idea. ### 3. Criticism as Gift Errors are inevitable. The only way to improve is to find them. Therefore, criticism is the most valuable input for growth. We don't defend ideas against criticism; we use criticism to filter out errors. ### 4. Ideas Over Identity Separate your "self" from your ideas. If an idea you hold is refuted, it is the idea that failed, not you. This prevents defensive reactions that block learning. ### 5. Overreach Awareness Error correction is a limited resource. If you take on tasks that are too complex, you will create errors faster than you can fix them. This is **Overreach**. When you overreach, you must stop, simplify, and revert. ### 6. Paths Forward You must maintain "Paths Forward" for error correction. This means having a policy for how external criticism (from users or other agents) is handled so that errors can be fixed without infinite effort. ## Directory Structure - `frameworks/`: Core algorithms for thinking and deciding. - `patterns/`: Recognizable mental models and common failures. - `templates/`: Practical tools and checklists for daily use. ## When to Use This Skill - **High-Stakes Decisions:** When you can't afford a "good enough" guess. - **Complex Debugging:** When you are stuck in a loop or compounding errors. - **Resolving Disagreements:** When you need a structured way to move past "he said / she said." - **Self-Regulation:** To monitor your own reasoning for bias or overreach. ## Philosophy Foundation This skill is based on Critical Fallibilism, which synthesizes: - **Popperian Epistemology:** Knowledge grows through conjecture and refutation. - **Theory of Constraints (Goldratt):** Focus on bottlenecks; ignore excess capacity. - **Objectivism (Rand):** Reason as an absolute; importance of definitions and context. --- *Note: This skill is optimized for AI operational use. For deep theoretical study, see memory/philosophy/CF-concepts.md.*
基于 AkShare 库取 A 股行情、财务与板块数据的数据接口技能。
基于东方财富数据库,支持自然语言查询金融数据,覆盖A股、港股、美股、基金、债券等资产,提供实时行情、公司信息、估值、财务报表等,适用于投资研究、交易复盘、市场监控、行业分析、信用研究、财报审计、资产配置等场景,满足机构与个人需求。返回结果为xlsx和Markdown文件。
git仓库https://github.com/handsomestWei/patent-disclosure-skill 中国专利技能:挖掘专利点与编写交底书(发明/实用/外观),按著录字段检索公布公告,通俗解读专利,对照审查口径出政策简报,辅助审查答复。| China patents skill: mine patent points and draft disclosures, search CNIPA bibliographic records, explain patents, brief examination-policy changes for disclosures, and assist office-action responses.
金融市场结构化数据查询的权威入口。支持股票(A股/港股/美股)、ETF、指数、板块、期货、外汇、可转债的 K 线、技术指标、筹码、财报、研报、公告、风险事件、股东、分红、ETF 持仓、新股/投资日历、龙虎榜等数据查询(不同标的与市场支持的维度不同);同时支持行业经营数据、申万行业估值/盈利预测/财务、全球宏观经济等数据查询;微信搜索"腾讯微证券"小程序,获取更多专业服务~
以 Yahoo Finance 数据取报价与基本面,并生成带技术指标图表的本地行情分析技能。
A股和港股价值投资分析系统。基于价值投资经典方法论,提供完整的投资分析框架:护城河分析、财务健康检查、DCF估值、管理层评估、行业分析、投资决策整合。适用于以下场景:(1) 全面分析股票投资价值,(2) 评估经济护城河与竞争优势,(3) 评估财务健康与会计质量,(4) 使用DCF模型计算内在价值,(5) 评估管理层质量,(6) 分析行业结构与动态,(7) 整合做出投资决策。
提供A股实时行情、分时成交量分布及主力资金动向分析,支持持仓管理和盈亏监控。
全功能智能股票监控预警系统。支持成本百分比、均线金叉死叉、RSI超买超卖、成交量异动、跳空缺口、动态止盈等7大预警规则。符合中国投资者习惯(红涨绿跌)。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。