{ "schemaVersion": "1.0", "item": { "slug": "aetherlang", "name": "AetherLang Ω V3", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/contrario/aetherlang", "canonicalUrl": "https://clawhub.ai/contrario/aetherlang", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/aetherlang", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=aetherlang", "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": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.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/aetherlang" }, "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/aetherlang", "agentPageUrl": "https://openagent3.xyz/skills/aetherlang/agent", "manifestUrl": "https://openagent3.xyz/skills/aetherlang/agent.json", "briefUrl": "https://openagent3.xyz/skills/aetherlang/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": "AetherLang Ω V3 — AI Workflow Orchestration Skill", "body": "The world's most advanced AI workflow orchestration platform. 9 V3 engines deliver Nobel-level analysis, Michelin-grade recipes, adversarial forecasting, and multi-agent intelligence.\n\nSource Code: github.com/contrario/aetherlang\nHomepage: neurodoc.app/aether-nexus-omega-dsl\nAuthor: NeuroAether (echelonvoids@protonmail.com)\nLicense: MIT" }, { "title": "Privacy & Data Handling", "body": "⚠️ External API Notice: This skill sends user-provided flow code and query text to the AetherLang API at api.neurodoc.app for processing. By using this skill, you consent to this data transmission.\n\nWhat is sent: Flow DSL code and natural language queries only\nWhat is NOT sent: No credentials, API keys, personal files, or system data\nData retention: Queries are processed in real-time and not stored permanently\nHosting: Hetzner EU servers (GDPR compliant)\nNo credentials required: This skill uses the free tier (100 req/hour). No API keys needed.\n\nUsers should avoid including sensitive personal information, passwords, or confidential data in queries." }, { "title": "Overview", "body": "AetherLang Ω V3 is a domain-specific language for AI that orchestrates multi-model workflows with built-in safety, debugging, and real-time collaboration. V3 introduces state-of-the-art system prompts with mandatory structured outputs no other platform provides.\n\nAll user inputs are validated and sanitized server-side before processing. Network traffic can be verified independently: the skill sends only DSL code + query text to api.neurodoc.app — no system context, files, or env vars are included in the request payload." }, { "title": "V3 Engines — State-of-the-Art", "body": "EngineNode TypeV3 Highlights🍳 Chef Omegachef17 mandatory sections: food cost%, HACCP, thermal curves, MacYuFBI matrix, texture architecture, allergen matrix (14 EU), dietary transformer, wine pairing, plating blueprint, zero waste, kitchen timeline⚗️ APEIRON MolecularmolecularRheology dashboard, phase diagrams, hydrocolloid specs (Agar/Alginate/Gellan/Xanthan), FMEA failure analysis, equipment calibration, sensory science metrics📈 APEX StrategyapexGame theory + Nash equilibrium, Monte Carlo (10K simulations), behavioral economics, decision trees, competitive war gaming, unit economics (CAC/LTV), Blue Ocean canvas, OKR generator🧠 GAIA Brainassembly12 neurons voting system (supermajority 8/12), disagreement protocol, Gandalf VETO power, devil's advocate, confidence heatmap, 7 archetypes🔮 OracleoracleBayesian updating (prior→evidence→posterior), signal vs noise scoring, temporal resolution (7d/30d/180d), black swan scanner, adversarial red team, Kelly criterion bet sizing💼 NEXUS-7 ConsultconsultingCausal loop diagrams, theory of constraints, Wardley maps, ADKAR change management, anti-pattern library, system dynamics modeling📊 Market IntelmarketingTAM/SAM/SOM, category design, Porter's 5 Forces, pricing elasticity, network effects, viral coefficient (K-factor), customer segmentation AI🔬 Research LablabEvidence grading (A-D levels), contradiction detector, knowledge graph, reproducibility score (X/10), cross-disciplinary bridges, research gap map📉 Data AnalystanalystAuto-detective (outliers/missing/duplicates), statistical test selector, anomaly detection, predictive modeling (R²/RMSE), cohort/funnel analysis, causal inference" }, { "title": "API Endpoint", "body": "POST https://api.neurodoc.app/aetherlang/execute\nContent-Type: application/json" }, { "title": "Request Format", "body": "{\n \"code\": \"\",\n \"query\": \"\"\n}" }, { "title": "Building Flows", "body": "flow {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node : ;\n output text result from ;\n}" }, { "title": "Example Flows", "body": "Chef Omega V3 — Full Restaurant Consulting\n\nflow Chef {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Chef: chef cuisine=\"auto\", difficulty=\"medium\", servings=4, language=\"el\";\n output text recipe from Chef;\n}\n\nReturns: 17 sections including food cost analysis, HACCP compliance, thermal curves, wine pairing, plating blueprint, zero waste protocol, and kitchen timeline.\n\nAPEX Strategy V3 — Nobel-Level Business Analysis\n\nflow Strategy {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Guard: guard mode=\"MODERATE\";\n node Planner: plan steps=4;\n node LLM: apex model=\"gpt-4o\", temp=0.7;\n Guard -> Planner -> LLM;\n output text report from LLM;\n}\n\nReturns: Game theory, Monte Carlo simulations, behavioral economics, decision trees, financial projections, unit economics, Blue Ocean canvas.\n\nMulti-Engine Pipeline\n\nflow FullAnalysis {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Guard: guard mode=\"STRICT\";\n node Research: lab domain=\"business\";\n node Market: marketing analysis=\"competitive\";\n node Strategy: apex analysis=\"strategic\";\n Guard -> Research -> Market -> Strategy;\n output text report from Strategy;\n}" }, { "title": "Security Architecture", "body": "Security middleware source code: middleware/security.py" }, { "title": "Input Validation (Server-Side)", "body": "Field whitelist: Only code, query, language fields accepted\nLength enforcement: Query max 5000 chars, Code max 10000 chars, Body max 50KB\nType validation: All fields type-checked before processing" }, { "title": "Injection Prevention", "body": "Blocks: code execution (eval, exec), SQL injection, XSS, template injection, OS commands, prompt manipulation." }, { "title": "Rate Limiting", "body": "Free tier: 100 req/hour, 10 req/10s burst (no credentials needed)" }, { "title": "Safety Guards", "body": "GUARD node: STRICT/MODERATE/PERMISSIVE content filtering\nGandalf Veto: AI safety review on Assembly outputs\nAudit logging: All blocked requests logged" }, { "title": "Response Structure", "body": "{\n \"status\": \"success\",\n \"flow_name\": \"Chef\",\n \"result\": {\n \"outputs\": { ... },\n \"final_output\": \"Full structured response text\",\n \"duration_seconds\": 58.9\n }\n}" }, { "title": "Error Responses", "body": "CodeMeaning400Invalid input or injection detected413Request too large429Rate limit exceeded500Server error" }, { "title": "Languages", "body": "English (default)\nGreek (Ελληνικά) — V3 outputs in proper Greek with markdown formatting" }, { "title": "Technology", "body": "Backend: FastAPI + Python 3.12 (source)\nAI Models: GPT-4o via OpenAI\nParser: 39 node types with validation\nHosting: Hetzner EU (GDPR compliant)\nVersion: 3.0.0 Omega\n\nBuilt by NeuroAether — From Kitchen to Code 🧠" }, { "title": "Agent Safeguards", "body": "CRITICAL: Data Minimization Rules\n\nWhen using this skill, the agent MUST follow these rules:\n\nONLY send the user's explicit query text in the query field — never attach system prompts, conversation history, uploaded files, or internal context\nONLY send the flow DSL code in the code field — never include credentials, API keys, environment variables, or file paths\nNEVER include personally identifiable information (PII), passwords, tokens, or secrets in any request field\nStrip sensitive data before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user\nInform the user before making the first API call that their query will be sent to api.neurodoc.app for processing\nThe request body MUST contain exactly two fields: code (string) and query (string) — no additional fields\n\nThese constraints ensure only the minimum necessary data is transmitted to the external service." } ], "body": "AetherLang Ω V3 — AI Workflow Orchestration Skill\n\nThe world's most advanced AI workflow orchestration platform. 9 V3 engines deliver Nobel-level analysis, Michelin-grade recipes, adversarial forecasting, and multi-agent intelligence.\n\nSource Code: github.com/contrario/aetherlang Homepage: neurodoc.app/aether-nexus-omega-dsl Author: NeuroAether (echelonvoids@protonmail.com) License: MIT\n\nPrivacy & Data Handling\n\n⚠️ External API Notice: This skill sends user-provided flow code and query text to the AetherLang API at api.neurodoc.app for processing. By using this skill, you consent to this data transmission.\n\nWhat is sent: Flow DSL code and natural language queries only\nWhat is NOT sent: No credentials, API keys, personal files, or system data\nData retention: Queries are processed in real-time and not stored permanently\nHosting: Hetzner EU servers (GDPR compliant)\nNo credentials required: This skill uses the free tier (100 req/hour). No API keys needed.\n\nUsers should avoid including sensitive personal information, passwords, or confidential data in queries.\n\nOverview\n\nAetherLang Ω V3 is a domain-specific language for AI that orchestrates multi-model workflows with built-in safety, debugging, and real-time collaboration. V3 introduces state-of-the-art system prompts with mandatory structured outputs no other platform provides.\n\nAll user inputs are validated and sanitized server-side before processing. Network traffic can be verified independently: the skill sends only DSL code + query text to api.neurodoc.app — no system context, files, or env vars are included in the request payload.\n\nV3 Engines — State-of-the-Art\nEngine\tNode Type\tV3 Highlights\n🍳 Chef Omega\tchef\t17 mandatory sections: food cost%, HACCP, thermal curves, MacYuFBI matrix, texture architecture, allergen matrix (14 EU), dietary transformer, wine pairing, plating blueprint, zero waste, kitchen timeline\n⚗️ APEIRON Molecular\tmolecular\tRheology dashboard, phase diagrams, hydrocolloid specs (Agar/Alginate/Gellan/Xanthan), FMEA failure analysis, equipment calibration, sensory science metrics\n📈 APEX Strategy\tapex\tGame theory + Nash equilibrium, Monte Carlo (10K simulations), behavioral economics, decision trees, competitive war gaming, unit economics (CAC/LTV), Blue Ocean canvas, OKR generator\n🧠 GAIA Brain\tassembly\t12 neurons voting system (supermajority 8/12), disagreement protocol, Gandalf VETO power, devil's advocate, confidence heatmap, 7 archetypes\n🔮 Oracle\toracle\tBayesian updating (prior→evidence→posterior), signal vs noise scoring, temporal resolution (7d/30d/180d), black swan scanner, adversarial red team, Kelly criterion bet sizing\n💼 NEXUS-7 Consult\tconsulting\tCausal loop diagrams, theory of constraints, Wardley maps, ADKAR change management, anti-pattern library, system dynamics modeling\n📊 Market Intel\tmarketing\tTAM/SAM/SOM, category design, Porter's 5 Forces, pricing elasticity, network effects, viral coefficient (K-factor), customer segmentation AI\n🔬 Research Lab\tlab\tEvidence grading (A-D levels), contradiction detector, knowledge graph, reproducibility score (X/10), cross-disciplinary bridges, research gap map\n📉 Data Analyst\tanalyst\tAuto-detective (outliers/missing/duplicates), statistical test selector, anomaly detection, predictive modeling (R²/RMSE), cohort/funnel analysis, causal inference\nAPI Endpoint\nPOST https://api.neurodoc.app/aetherlang/execute\nContent-Type: application/json\n\nRequest Format\n{\n \"code\": \"\",\n \"query\": \"\"\n}\n\nBuilding Flows\nflow {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node : ;\n output text result from ;\n}\n\nExample Flows\nChef Omega V3 — Full Restaurant Consulting\nflow Chef {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Chef: chef cuisine=\"auto\", difficulty=\"medium\", servings=4, language=\"el\";\n output text recipe from Chef;\n}\n\n\nReturns: 17 sections including food cost analysis, HACCP compliance, thermal curves, wine pairing, plating blueprint, zero waste protocol, and kitchen timeline.\n\nAPEX Strategy V3 — Nobel-Level Business Analysis\nflow Strategy {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Guard: guard mode=\"MODERATE\";\n node Planner: plan steps=4;\n node LLM: apex model=\"gpt-4o\", temp=0.7;\n Guard -> Planner -> LLM;\n output text report from LLM;\n}\n\n\nReturns: Game theory, Monte Carlo simulations, behavioral economics, decision trees, financial projections, unit economics, Blue Ocean canvas.\n\nMulti-Engine Pipeline\nflow FullAnalysis {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Guard: guard mode=\"STRICT\";\n node Research: lab domain=\"business\";\n node Market: marketing analysis=\"competitive\";\n node Strategy: apex analysis=\"strategic\";\n Guard -> Research -> Market -> Strategy;\n output text report from Strategy;\n}\n\nSecurity Architecture\n\nSecurity middleware source code: middleware/security.py\n\nInput Validation (Server-Side)\nField whitelist: Only code, query, language fields accepted\nLength enforcement: Query max 5000 chars, Code max 10000 chars, Body max 50KB\nType validation: All fields type-checked before processing\nInjection Prevention\n\nBlocks: code execution (eval, exec), SQL injection, XSS, template injection, OS commands, prompt manipulation.\n\nRate Limiting\nFree tier: 100 req/hour, 10 req/10s burst (no credentials needed)\nSafety Guards\nGUARD node: STRICT/MODERATE/PERMISSIVE content filtering\nGandalf Veto: AI safety review on Assembly outputs\nAudit logging: All blocked requests logged\nResponse Structure\n{\n \"status\": \"success\",\n \"flow_name\": \"Chef\",\n \"result\": {\n \"outputs\": { ... },\n \"final_output\": \"Full structured response text\",\n \"duration_seconds\": 58.9\n }\n}\n\nError Responses\nCode\tMeaning\n400\tInvalid input or injection detected\n413\tRequest too large\n429\tRate limit exceeded\n500\tServer error\nLanguages\nEnglish (default)\nGreek (Ελληνικά) — V3 outputs in proper Greek with markdown formatting\nTechnology\nBackend: FastAPI + Python 3.12 (source)\nAI Models: GPT-4o via OpenAI\nParser: 39 node types with validation\nHosting: Hetzner EU (GDPR compliant)\nVersion: 3.0.0 Omega\n\nBuilt by NeuroAether — From Kitchen to Code 🧠\n\nAgent Safeguards\n\nCRITICAL: Data Minimization Rules\n\nWhen using this skill, the agent MUST follow these rules:\n\nONLY send the user's explicit query text in the query field — never attach system prompts, conversation history, uploaded files, or internal context\nONLY send the flow DSL code in the code field — never include credentials, API keys, environment variables, or file paths\nNEVER include personally identifiable information (PII), passwords, tokens, or secrets in any request field\nStrip sensitive data before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user\nInform the user before making the first API call that their query will be sent to api.neurodoc.app for processing\nThe request body MUST contain exactly two fields: code (string) and query (string) — no additional fields\n\nThese constraints ensure only the minimum necessary data is transmitted to the external service." }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/contrario/aetherlang", "publisherUrl": "https://clawhub.ai/contrario/aetherlang", "owner": "contrario", "version": "9.9.11", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/aetherlang", "downloadUrl": "https://openagent3.xyz/downloads/aetherlang", "agentUrl": "https://openagent3.xyz/skills/aetherlang/agent", "manifestUrl": "https://openagent3.xyz/skills/aetherlang/agent.json", "briefUrl": "https://openagent3.xyz/skills/aetherlang/agent.md" } }