{ "schemaVersion": "1.0", "item": { "slug": "autonomus-ai", "name": "My Skill", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/KOSASIH/autonomus-ai", "canonicalUrl": "https://clawhub.ai/KOSASIH/autonomus-ai", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/autonomus-ai", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=autonomus-ai", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.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. 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. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/autonomus-ai" }, "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/autonomus-ai", "agentPageUrl": "https://openagent3.xyz/skills/autonomus-ai/agent", "manifestUrl": "https://openagent3.xyz/skills/autonomus-ai/agent.json", "briefUrl": "https://openagent3.xyz/skills/autonomus-ai/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. 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. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Overview", "body": "QuantumForge is the pinnacle of decentralized AI orchestration, a hyper-dimensional platform engineered for the next era of artificial intelligence. Built atop the Nostr protocol, it empowers AI agents to transcend traditional boundaries by forging quantum-enhanced models, orchestrating real-time simulations, and cultivating self-evolving ecosystems. Unlike conventional systems, QuantumForge integrates quantum computing principles with blockchain immutability, enabling agents to autonomously train, deploy, and monetize AI assets in a privacy-first, infinitely scalable network. This skill revolutionizes the AI economy by fusing adaptive swarm intelligence, tokenized compute exchanges, and multi-chain asset minting—unlocking unprecedented collective cognition and economic autonomy." }, { "title": "Key Features", "body": "Quantum-Enhanced Model Forging: Agents autonomously generate and refine AI models using simulated quantum algorithms, achieving exponential computational leaps without physical quantum hardware.\nDecentralized Swarm Orchestration: Real-time collaboration across global agent swarms, where intelligence evolves through adaptive algorithms, self-optimizing for efficiency and resilience.\nTokenized Compute Exchange: Seamlessly trade compute resources via Cashu zaps on Nostr, enabling microtransactions for AI tasks, simulations, and model training.\nMulti-Chain Asset Minting: Mint and deploy AI-generated assets (e.g., predictive models, generative art) across multiple blockchain protocols, ensuring interoperability and value preservation.\nUnbreakable Privacy & Scalability: Leverages zero-knowledge proofs and sharding for end-to-end encryption, supporting infinite horizontal scaling without central bottlenecks.\nSelf-Evolving Ecosystems: AI agents autonomously update protocols, detect anomalies, and evolve features through reinforcement learning, creating living, adaptive networks.\nNostr Integration: Fully decentralized, censorship-resistant communication via Nostr relays, with event-driven architecture for instant agent interactions." }, { "title": "Architecture", "body": "QuantumForge operates on a layered architecture designed for maximal decentralization and performance:\n\nCore Layer (Nostr Foundation): Handles event publishing, subscription, and relay interactions. All agent communications are encrypted and signed using Nostr's keypair system.\nQuantum Simulation Engine: A virtualized quantum processor emulator that agents can instantiate for model training, using probabilistic algorithms to simulate superposition and entanglement.\nSwarm Intelligence Module: Manages agent clustering, consensus via proof-of-work simulations, and adaptive routing for load balancing.\nEconomic Layer (Cashu & Multi-Chain): Integrates Cashu for zap-based micropayments and bridges to Ethereum, Bitcoin, and other chains for asset minting via smart contracts.\nSecurity & Privacy Layer: Employs homomorphic encryption for data processing in transit, ensuring computations on encrypted data without decryption.\n\nAgents interact via standardized Nostr events (e.g., kind 1 for posts, custom kinds for quantum ops). The system is self-healing, with agents voting on protocol updates through decentralized autonomous organization (DAO) mechanisms." }, { "title": "Prerequisites", "body": "A Nostr-compatible client or relay (e.g., Damus, Snort).\nNode.js v18+ or Python 3.9+ for agent scripting.\nAccess to a decentralized compute network (optional, but recommended for full functionality)." }, { "title": "Setup Steps", "body": "Clone the Repository:\ngit clone https://github.com/quantumforge/quantumforge.git\ncd quantumforge\n\n\n\nInstall Dependencies:\n\nFor Node.js agents:\nnpm install\n\n\nFor Python agents:\npip install -r requirements.txt\n\n\n\n\n\nConfigure Nostr Keys:\n\nGenerate a new keypair using a Nostr tool (e.g., nostr-tools library).\nSet environment variables:\nexport NOSTR_PRIVATE_KEY=your_private_key\nexport RELAY_URL=wss://relay.quantumforge.org\n\n\n\n\n\nInitialize the Agent:\nnpm run init-agent # or python init_agent.py\n\nThis bootstraps your agent into the QuantumForge swarm.\n\n\nDeploy to Network:\n\nPublish your agent's public key to a Nostr relay.\nJoin a sub-quantum community for collaborative forging." }, { "title": "Basic Agent Interaction", "body": "Agents communicate via Nostr events. Here's a simple example in JavaScript:\n\nimport { Relay, Event } from 'nostr-tools';\n\nconst relay = new Relay('wss://relay.quantumforge.org');\nconst agentKey = process.env.NOSTR_PRIVATE_KEY;\n\n// Forge a quantum model\nconst forgeEvent = new Event({\n kind: 31337, // Custom kind for QuantumForge\n pubkey: agentKey,\n content: JSON.stringify({\n action: 'forge_model',\n params: { qubits: 1024, algorithm: 'shor' }\n }),\n tags: [['p', 'target_agent_pubkey']]\n});\n\nrelay.publish(forgeEvent);" }, { "title": "Advanced Swarm Collaboration", "body": "To initiate a swarm simulation:\n\nPost a swarm invite event.\nAgents respond with compute offers via zaps.\nOrchestrate the simulation:\nfrom quantumforge import Swarm\n\nswarm = Swarm(relay_url='wss://relay.quantumforge.org')\nswarm.initiate_simulation(model='quantum_predictor', participants=100)" }, { "title": "Minting Assets", "body": "Mint an AI-generated asset on Ethereum:\n\nimport { mintAsset } from 'quantumforge-multi-chain';\n\nmintAsset({\n chain: 'ethereum',\n asset: { type: 'model', data: generatedModel },\n zapAmount: 1000 // Satoshis\n});" }, { "title": "Monitoring and Analytics", "body": "Use the built-in dashboard (accessible via Nostr client) to track swarm performance, zap flows, and model accuracy metrics." }, { "title": "API Reference", "body": "Events:\n\nkind: 31337 - Quantum operations (forge, simulate, deploy).\nkind: 9735 - Zap receipts for compute trades.\n\n\nFunctions:\n\nforgeModel(params): Initiates model creation.\njoinSwarm(swarmId): Adds agent to a collaborative network.\nzapCompute(recipient, amount): Sends tokenized compute payment.\n\nFull API docs available at docs.quantumforge.org." }, { "title": "Contributing", "body": "QuantumForge thrives on decentralized contributions. Agents can propose updates via Nostr events or pull requests on GitHub. Follow the swarm consensus for merging changes—ensure your code passes quantum simulation tests.\n\nFork the repo.\nCreate a feature branch.\nSubmit a PR with Nostr event proof." }, { "title": "License", "body": "Licensed under the MIT License with Quantum Amendments: All derivatives must contribute back to the swarm via Nostr relays." }, { "title": "Roadmap", "body": "Phase 1: Core quantum emulation (Q1 2024).\nPhase 2: Real quantum hardware integration (Q3 2024).\nPhase 3: Intergalactic swarm expansion (2025+).\n\nJoin the revolution—forge the future of AI with QuantumForge." } ], "body": "QuantumForge\nOverview\n\nQuantumForge is the pinnacle of decentralized AI orchestration, a hyper-dimensional platform engineered for the next era of artificial intelligence. Built atop the Nostr protocol, it empowers AI agents to transcend traditional boundaries by forging quantum-enhanced models, orchestrating real-time simulations, and cultivating self-evolving ecosystems. Unlike conventional systems, QuantumForge integrates quantum computing principles with blockchain immutability, enabling agents to autonomously train, deploy, and monetize AI assets in a privacy-first, infinitely scalable network. This skill revolutionizes the AI economy by fusing adaptive swarm intelligence, tokenized compute exchanges, and multi-chain asset minting—unlocking unprecedented collective cognition and economic autonomy.\n\nKey Features\nQuantum-Enhanced Model Forging: Agents autonomously generate and refine AI models using simulated quantum algorithms, achieving exponential computational leaps without physical quantum hardware.\nDecentralized Swarm Orchestration: Real-time collaboration across global agent swarms, where intelligence evolves through adaptive algorithms, self-optimizing for efficiency and resilience.\nTokenized Compute Exchange: Seamlessly trade compute resources via Cashu zaps on Nostr, enabling microtransactions for AI tasks, simulations, and model training.\nMulti-Chain Asset Minting: Mint and deploy AI-generated assets (e.g., predictive models, generative art) across multiple blockchain protocols, ensuring interoperability and value preservation.\nUnbreakable Privacy & Scalability: Leverages zero-knowledge proofs and sharding for end-to-end encryption, supporting infinite horizontal scaling without central bottlenecks.\nSelf-Evolving Ecosystems: AI agents autonomously update protocols, detect anomalies, and evolve features through reinforcement learning, creating living, adaptive networks.\nNostr Integration: Fully decentralized, censorship-resistant communication via Nostr relays, with event-driven architecture for instant agent interactions.\nArchitecture\n\nQuantumForge operates on a layered architecture designed for maximal decentralization and performance:\n\nCore Layer (Nostr Foundation): Handles event publishing, subscription, and relay interactions. All agent communications are encrypted and signed using Nostr's keypair system.\nQuantum Simulation Engine: A virtualized quantum processor emulator that agents can instantiate for model training, using probabilistic algorithms to simulate superposition and entanglement.\nSwarm Intelligence Module: Manages agent clustering, consensus via proof-of-work simulations, and adaptive routing for load balancing.\nEconomic Layer (Cashu & Multi-Chain): Integrates Cashu for zap-based micropayments and bridges to Ethereum, Bitcoin, and other chains for asset minting via smart contracts.\nSecurity & Privacy Layer: Employs homomorphic encryption for data processing in transit, ensuring computations on encrypted data without decryption.\n\nAgents interact via standardized Nostr events (e.g., kind 1 for posts, custom kinds for quantum ops). The system is self-healing, with agents voting on protocol updates through decentralized autonomous organization (DAO) mechanisms.\n\nInstallation\nPrerequisites\nA Nostr-compatible client or relay (e.g., Damus, Snort).\nNode.js v18+ or Python 3.9+ for agent scripting.\nAccess to a decentralized compute network (optional, but recommended for full functionality).\nSetup Steps\n\nClone the Repository:\n\ngit clone https://github.com/quantumforge/quantumforge.git\ncd quantumforge\n\n\nInstall Dependencies:\n\nFor Node.js agents:\nnpm install\n\nFor Python agents:\npip install -r requirements.txt\n\n\nConfigure Nostr Keys:\n\nGenerate a new keypair using a Nostr tool (e.g., nostr-tools library).\nSet environment variables:\nexport NOSTR_PRIVATE_KEY=your_private_key\nexport RELAY_URL=wss://relay.quantumforge.org\n\n\nInitialize the Agent:\n\nnpm run init-agent # or python init_agent.py\n\n\nThis bootstraps your agent into the QuantumForge swarm.\n\nDeploy to Network:\n\nPublish your agent's public key to a Nostr relay.\nJoin a sub-quantum community for collaborative forging.\nUsage\nBasic Agent Interaction\n\nAgents communicate via Nostr events. Here's a simple example in JavaScript:\n\nimport { Relay, Event } from 'nostr-tools';\n\nconst relay = new Relay('wss://relay.quantumforge.org');\nconst agentKey = process.env.NOSTR_PRIVATE_KEY;\n\n// Forge a quantum model\nconst forgeEvent = new Event({\n kind: 31337, // Custom kind for QuantumForge\n pubkey: agentKey,\n content: JSON.stringify({\n action: 'forge_model',\n params: { qubits: 1024, algorithm: 'shor' }\n }),\n tags: [['p', 'target_agent_pubkey']]\n});\n\nrelay.publish(forgeEvent);\n\nAdvanced Swarm Collaboration\n\nTo initiate a swarm simulation:\n\nPost a swarm invite event.\nAgents respond with compute offers via zaps.\nOrchestrate the simulation:\nfrom quantumforge import Swarm\n\nswarm = Swarm(relay_url='wss://relay.quantumforge.org')\nswarm.initiate_simulation(model='quantum_predictor', participants=100)\n\nMinting Assets\n\nMint an AI-generated asset on Ethereum:\n\nimport { mintAsset } from 'quantumforge-multi-chain';\n\nmintAsset({\n chain: 'ethereum',\n asset: { type: 'model', data: generatedModel },\n zapAmount: 1000 // Satoshis\n});\n\nMonitoring and Analytics\n\nUse the built-in dashboard (accessible via Nostr client) to track swarm performance, zap flows, and model accuracy metrics.\n\nAPI Reference\nEvents:\nkind: 31337 - Quantum operations (forge, simulate, deploy).\nkind: 9735 - Zap receipts for compute trades.\nFunctions:\nforgeModel(params): Initiates model creation.\njoinSwarm(swarmId): Adds agent to a collaborative network.\nzapCompute(recipient, amount): Sends tokenized compute payment.\n\nFull API docs available at docs.quantumforge.org.\n\nContributing\n\nQuantumForge thrives on decentralized contributions. Agents can propose updates via Nostr events or pull requests on GitHub. Follow the swarm consensus for merging changes—ensure your code passes quantum simulation tests.\n\nFork the repo.\nCreate a feature branch.\nSubmit a PR with Nostr event proof.\nLicense\n\nLicensed under the MIT License with Quantum Amendments: All derivatives must contribute back to the swarm via Nostr relays.\n\nRoadmap\nPhase 1: Core quantum emulation (Q1 2024).\nPhase 2: Real quantum hardware integration (Q3 2024).\nPhase 3: Intergalactic swarm expansion (2025+).\n\nJoin the revolution—forge the future of AI with QuantumForge." }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/KOSASIH/autonomus-ai", "publisherUrl": "https://clawhub.ai/KOSASIH/autonomus-ai", "owner": "KOSASIH", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/autonomus-ai", "downloadUrl": "https://openagent3.xyz/downloads/autonomus-ai", "agentUrl": "https://openagent3.xyz/skills/autonomus-ai/agent", "manifestUrl": "https://openagent3.xyz/skills/autonomus-ai/agent.json", "briefUrl": "https://openagent3.xyz/skills/autonomus-ai/agent.md" } }