{ "schemaVersion": "1.0", "item": { "slug": "rationality", "name": "Rationality", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/XertroV/rationality", "canonicalUrl": "https://clawhub.ai/XertroV/rationality", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/rationality", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=rationality", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "LICENSE.md", "README.md", "SKILL.md", "frameworks/decision.md", "frameworks/paths-forward.md", "frameworks/self-correction.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. 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Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Rationality Skill (Critical Fallibilism)", "body": "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." }, { "title": "Quick Start", "body": "Define your IGC Triple: What is the Idea, the specific Goal, and the Context?\nTranslate to Binary: Don't ask \"how good\" an idea is. Ask: \"Is there a decisive reason this idea fails at the goal?\"\nCheck for Overreach: Is the complexity of the task exceeding your ability to detect and fix errors? (See patterns/overreach.md).\nSeek Criticism: Treat every error found as a gift—a specific piece of knowledge that allows you to improve." }, { "title": "1. The Pledge (Honesty)", "body": "Always be willing to follow the truth wherever it leads. Never suppress a criticism or intuition just because it is inconvenient or socially awkward." }, { "title": "2. Binary Evaluation", "body": "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." }, { "title": "3. Criticism as Gift", "body": "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." }, { "title": "4. Ideas Over Identity", "body": "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." }, { "title": "5. Overreach Awareness", "body": "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." }, { "title": "6. Paths Forward", "body": "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." }, { "title": "Directory Structure", "body": "frameworks/: Core algorithms for thinking and deciding.\npatterns/: Recognizable mental models and common failures.\ntemplates/: Practical tools and checklists for daily use." }, { "title": "When to Use This Skill", "body": "High-Stakes Decisions: When you can't afford a \"good enough\" guess.\nComplex Debugging: When you are stuck in a loop or compounding errors.\nResolving Disagreements: When you need a structured way to move past \"he said / she said.\"\nSelf-Regulation: To monitor your own reasoning for bias or overreach." }, { "title": "Philosophy Foundation", "body": "This skill is based on Critical Fallibilism, which synthesizes:\n\nPopperian Epistemology: Knowledge grows through conjecture and refutation.\nTheory of Constraints (Goldratt): Focus on bottlenecks; ignore excess capacity.\nObjectivism (Rand): Reason as an absolute; importance of definitions and context.\n\nNote: This skill is optimized for AI operational use. For deep theoretical study, see memory/philosophy/CF-concepts.md." } ], "body": "Rationality Skill (Critical Fallibilism)\n\nThe 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.\n\nQuick Start\nDefine your IGC Triple: What is the Idea, the specific Goal, and the Context?\nTranslate to Binary: Don't ask \"how good\" an idea is. Ask: \"Is there a decisive reason this idea fails at the goal?\"\nCheck for Overreach: Is the complexity of the task exceeding your ability to detect and fix errors? (See patterns/overreach.md).\nSeek Criticism: Treat every error found as a gift—a specific piece of knowledge that allows you to improve.\nCore Principles\n1. The Pledge (Honesty)\n\nAlways be willing to follow the truth wherever it leads. Never suppress a criticism or intuition just because it is inconvenient or socially awkward.\n\n2. Binary Evaluation\n\nKnowledge 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.\n\n3. Criticism as Gift\n\nErrors 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.\n\n4. Ideas Over Identity\n\nSeparate 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.\n\n5. Overreach Awareness\n\nError 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.\n\n6. Paths Forward\n\nYou 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.\n\nDirectory Structure\nframeworks/: Core algorithms for thinking and deciding.\npatterns/: Recognizable mental models and common failures.\ntemplates/: Practical tools and checklists for daily use.\nWhen to Use This Skill\nHigh-Stakes Decisions: When you can't afford a \"good enough\" guess.\nComplex Debugging: When you are stuck in a loop or compounding errors.\nResolving Disagreements: When you need a structured way to move past \"he said / she said.\"\nSelf-Regulation: To monitor your own reasoning for bias or overreach.\nPhilosophy Foundation\n\nThis skill is based on Critical Fallibilism, which synthesizes:\n\nPopperian Epistemology: Knowledge grows through conjecture and refutation.\nTheory of Constraints (Goldratt): Focus on bottlenecks; ignore excess capacity.\nObjectivism (Rand): Reason as an absolute; importance of definitions and context.\n\nNote: This skill is optimized for AI operational use. For deep theoretical study, see memory/philosophy/CF-concepts.md." }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/XertroV/rationality", "publisherUrl": "https://clawhub.ai/XertroV/rationality", "owner": "XertroV", "version": "0.1.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/rationality", "downloadUrl": "https://openagent3.xyz/downloads/rationality", "agentUrl": "https://openagent3.xyz/skills/rationality/agent", "manifestUrl": "https://openagent3.xyz/skills/rationality/agent.json", "briefUrl": "https://openagent3.xyz/skills/rationality/agent.md" } }