{ "schemaVersion": "1.0", "item": { "slug": "genlayer", "name": "Genlayer Claw Skill", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/acastellana/genlayer", "canonicalUrl": "https://clawhub.ai/acastellana/genlayer", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/genlayer", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=genlayer", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "CHANGELOG.md", "README.md", "SKILL.md", "architecture.md", "consensus.md", "intelligent-contracts.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. 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." } ] }, "sourceHealth": { "source": "tencent", "slug": "genlayer", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-01T16:59:55.930Z", "expiresAt": "2026-05-08T16:59:55.930Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=genlayer", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=genlayer", "contentDisposition": "attachment; filename=\"genlayer-0.1.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "genlayer" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/genlayer" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/genlayer", "agentPageUrl": "https://openagent3.xyz/skills/genlayer/agent", "manifestUrl": "https://openagent3.xyz/skills/genlayer/agent.json", "briefUrl": "https://openagent3.xyz/skills/genlayer/agent.md" }, "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. 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": "GenLayer Knowledge Skill", "body": "GenLayer is a decentralized protocol where multiple LLMs reach consensus on complex tasks and decisions—the first AI-native blockchain." }, { "title": "When to Use This Skill", "body": "Explaining GenLayer to investors, developers, or partners\nWriting about the protocol, architecture, or vision\nUnderstanding consensus mechanics (Optimistic Democracy)\nTechnical architecture questions\nEcosystem/product discussions\nPitch decks and positioning\n\nFor writing/deploying Intelligent Contracts → use genlayer-dev-claw-skill" }, { "title": "Quick Reference", "body": "Tagline: The intelligence layer of the Internet\n\nOne-liner:\n\nBitcoin is trustless money. Ethereum is trustless apps. GenLayer is trustless decision-making.\n\nWhat it does: Enables smart contracts (called \"Intelligent Contracts\") to natively access the Internet, process natural language, and make subjective decisions through AI-powered validator consensus." }, { "title": "Core Concepts", "body": "ConceptDescriptionIntelligent ContractsAI-powered smart contracts in Python that can reason, access web data, and handle non-deterministic operationsOptimistic DemocracyConsensus mechanism using multiple LLMs + Condorcet Jury Theorem for trustless decision-makingEquivalence PrincipleHow validators agree on \"equivalent\" outputs despite non-deterministic AI resultsGenVMThe execution environment for Intelligent ContractsGEN TokenNative token for staking, gas, and governance" }, { "title": "Files in This Skill", "body": "FileUse Foroverview.mdWhat GenLayer is, mission, positioningthesis.mdPhilosophical foundation: trust, AI, why GenLayer existsarchitecture.mdTechnical components, GenVM, validators, rollup integrationconsensus.mdOptimistic Democracy, Equivalence Principle, appeals, slashingintelligent-contracts.mdHigh-level developer conceptsstaking.mdValidator/delegator economicsuse-cases.mdWhat you can build" }, { "title": "30 seconds (technical)", "body": "GenLayer is a blockchain where validators run LLMs to reach consensus on complex, non-deterministic tasks. Smart contracts can access the web, understand natural language, and make subjective decisions—all validated by multiple AI models using game theory to converge on truth." }, { "title": "30 seconds (business)", "body": "GenLayer enables a new class of applications that need trustless AI decision-making: prediction markets on subjective events, AI-powered DAOs, automated dispute resolution, and performance-based contracts that verify real-world outcomes without human intervention." }, { "title": "One sentence for crypto people", "body": "\"It's like having a decentralized, incorruptible AI judge that can read the internet and understand context.\"" }, { "title": "One sentence for AI people", "body": "\"It's infrastructure for AI agents to make binding agreements and resolve disputes without trusting any single model.\"" }, { "title": "Key Differentiators", "body": "vs. Oraclesvs. Other AI ChainsNo pre-defined data feedsNative LLM consensus, not just inferenceContracts can fetch any URLSubjective decisions, not just computeNatural language understandingGame-theoretic truth convergenceNo oracle setup requiredPython-native development" }, { "title": "Key Links", "body": "Documentation\nSDK\nGitHub\nDiscord\nTelegram\nJury Theorem Simulator" }, { "title": "Companion Skill", "body": "genlayer-dev-claw-skill — For actually building Intelligent Contracts:\n\nSDK API reference\nCode examples\nCLI commands\nDeployment guides" } ], "body": "GenLayer Knowledge Skill\n\nGenLayer is a decentralized protocol where multiple LLMs reach consensus on complex tasks and decisions—the first AI-native blockchain.\n\nWhen to Use This Skill\nExplaining GenLayer to investors, developers, or partners\nWriting about the protocol, architecture, or vision\nUnderstanding consensus mechanics (Optimistic Democracy)\nTechnical architecture questions\nEcosystem/product discussions\nPitch decks and positioning\n\nFor writing/deploying Intelligent Contracts → use genlayer-dev-claw-skill\n\nQuick Reference\n\nTagline: The intelligence layer of the Internet\n\nOne-liner:\n\nBitcoin is trustless money. Ethereum is trustless apps. GenLayer is trustless decision-making.\n\nWhat it does: Enables smart contracts (called \"Intelligent Contracts\") to natively access the Internet, process natural language, and make subjective decisions through AI-powered validator consensus.\n\nCore Concepts\nConcept\tDescription\nIntelligent Contracts\tAI-powered smart contracts in Python that can reason, access web data, and handle non-deterministic operations\nOptimistic Democracy\tConsensus mechanism using multiple LLMs + Condorcet Jury Theorem for trustless decision-making\nEquivalence Principle\tHow validators agree on \"equivalent\" outputs despite non-deterministic AI results\nGenVM\tThe execution environment for Intelligent Contracts\nGEN Token\tNative token for staking, gas, and governance\nFiles in This Skill\nFile\tUse For\noverview.md\tWhat GenLayer is, mission, positioning\nthesis.md\tPhilosophical foundation: trust, AI, why GenLayer exists\narchitecture.md\tTechnical components, GenVM, validators, rollup integration\nconsensus.md\tOptimistic Democracy, Equivalence Principle, appeals, slashing\nintelligent-contracts.md\tHigh-level developer concepts\nstaking.md\tValidator/delegator economics\nuse-cases.md\tWhat you can build\nElevator Pitches\n30 seconds (technical)\n\nGenLayer is a blockchain where validators run LLMs to reach consensus on complex, non-deterministic tasks. Smart contracts can access the web, understand natural language, and make subjective decisions—all validated by multiple AI models using game theory to converge on truth.\n\n30 seconds (business)\n\nGenLayer enables a new class of applications that need trustless AI decision-making: prediction markets on subjective events, AI-powered DAOs, automated dispute resolution, and performance-based contracts that verify real-world outcomes without human intervention.\n\nOne sentence for crypto people\n\n\"It's like having a decentralized, incorruptible AI judge that can read the internet and understand context.\"\n\nOne sentence for AI people\n\n\"It's infrastructure for AI agents to make binding agreements and resolve disputes without trusting any single model.\"\n\nKey Differentiators\nvs. Oracles\tvs. Other AI Chains\nNo pre-defined data feeds\tNative LLM consensus, not just inference\nContracts can fetch any URL\tSubjective decisions, not just compute\nNatural language understanding\tGame-theoretic truth convergence\nNo oracle setup required\tPython-native development\nKey Links\nDocumentation\nSDK\nGitHub\nDiscord\nTelegram\nJury Theorem Simulator\nCompanion Skill\n\ngenlayer-dev-claw-skill — For actually building Intelligent Contracts:\n\nSDK API reference\nCode examples\nCLI commands\nDeployment guides" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/acastellana/genlayer", "publisherUrl": "https://clawhub.ai/acastellana/genlayer", "owner": "acastellana", "version": "0.1.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/genlayer", "downloadUrl": "https://openagent3.xyz/downloads/genlayer", "agentUrl": "https://openagent3.xyz/skills/genlayer/agent", "manifestUrl": "https://openagent3.xyz/skills/genlayer/agent.json", "briefUrl": "https://openagent3.xyz/skills/genlayer/agent.md" } }