Skill: contrario/skills-2 (version 2.0.2)

--- name: aetherlang description: Execute AI workflow orchestration flows using the AetherLang Ω DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular gastronomy, and more. version: 2.0.2 author: contrario homepage: https://masterswarm.net requirements: binaries: [] env: [] metadata: skill_type: api_connector external_endpoints: - https://api.neurodoc.app/aetherlang/execute operator_note: "api.neurodoc.app operated by NeuroDoc Pro (same as masterswarm.net), Hetzner DE" privacy_policy: https://masterswarm.net license: MIT --- # AetherLang Ω V3 — AI Workflow Orchestration Skill > 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. **Source Code**: [github.com/contrario/aetherlang](https://github.com/contrario/aetherlang) **Homepage**: [neurodoc.app/aether-nexus-omega-dsl](https://neurodoc.app/aether-nexus-omega-dsl) **Author**: NeuroAether ([REDACTED_SECRET]) **License**: MIT ## Privacy & Data Handling ⚠️ **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. - **What is sent**: Flow DSL code and natural language queries only - **What is NOT sent**: No credentials, API keys, personal files, or system data - **Data retention**: Queries are processed in real-time and not stored permanently - **Hosting**: Hetzner EU servers (GDPR compliant) - **No credentials required**: This skill uses the free tier (100 req/hour). No API keys needed. Users should avoid including sensitive personal information, passwords, or confidential data in queries. ## Overview 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. All user inputs are validated and sanitized server-side before processing. The security middleware source code is publicly available in the [GitHub repository](https://github.com/contrario/aetherlang/blob/main/aetherlang/middleware/security.py). ## V3 Engines — State-of-the-Art | Engine | Node Type | V3 Highlights | |--------|-----------|---------------| | 🍳 Chef Omega | `chef` | 17 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 Molecular | `molecular` | Rheology dashboard, phase diagrams, hydrocolloid specs (Agar/Alginate/Gellan/Xanthan), FMEA failure analysis, equipment calibration, sensory science metrics | | 📈 APEX Strategy | `apex` | Game theory + Nash equilibrium, Monte Carlo (10K simulations), behavioral economics, decision trees, competitive war gaming, unit economics (CAC/LTV), Blue Ocean canvas, OKR generator | | 🧠 GAIA Brain | `assembly` | 12 neurons voting system (supermajority 8/12), disagreement protocol, Gandalf VETO power, devil's advocate, confidence heatmap, 7 archetypes | | 🔮 Oracle | `oracle` | Bayesian 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 Consult | `consulting` | Causal loop diagrams, theory of constraints, Wardley maps, ADKAR change management, anti-pattern library, system dynamics modeling | | 📊 Market Intel | `marketing` | TAM/SAM/SOM, category design, Porter's 5 Forces, pricing elasticity, network effects, viral coefficient (K-factor), customer segmentation AI | | 🔬 Research Lab | `lab` | Evidence grading (A-D levels), contradiction detector, knowledge graph, reproducibility score (X/10), cross-disciplinary bridges, research gap map | | 📉 Data Analyst | `analyst` | Auto-detective (outliers/missing/duplicates), statistical test selector, anomaly detection, predictive modeling (R²/RMSE), cohort/funnel analysis, causal inference | ## API Endpoint ``` POST https://api.neurodoc.app/aetherlang/execute Content-Type: application/json ``` ### Request Format ```json { "code": "<aetherlang_flow>", "query": "<user_input>" } ``` ### Building Flows ``` flow <FlowName> { using target "neuroaether" version ">=0.2"; input text query; node <NodeName>: <engine_type> <parameters>; output text result from <NodeName>; } ``` ### Example Flows #### Chef Omega V3 — Full Restaurant Consulting ``` flow Chef { using target "neuroaether" version ">=0.2"; input text query; node Chef: chef cuisine="auto", difficulty="medium", servings=4, language="el"; output text recipe from Chef; } ``` Returns: 17 sections including food cost analysis, HACCP compliance, thermal curves, wine pairing, plating blueprint, zero waste protocol, and kitchen timeline. #### APEX Strategy V3 — Nobel-Level Business Analysis ``` flow Strategy { using target "neuroaether" version ">=0.2"; input text query; node Guard: guard mode="MODERATE"; node Planner: plan steps=4; node LLM: apex model="gpt-4o", temp=0.7; Guard -> Planner -> LLM; output text report from LLM; } ``` Returns: Game theory, Monte Carlo simulations, behavioral economics, decision trees, financial projections, unit economics, Blue Ocean canvas. #### Multi-Engine Pipeline ``` flow FullAnalysis { using target "neuroaether" version ">=0.2"; input text query; node Guard: guard mode="STRICT"; node Research: lab domain="business"; node Market: marketing analysis="competitive"; node Strategy: apex analysis="strategic"; Guard -> Research -> Market -> Strategy; output text report from Strategy; } ``` ## Security Architecture Security middleware source code: [middleware/security.py](https://github.com/contrario/aetherlang/blob/main/aetherlang/middleware/security.py) ### Input Validation (Server-Side) - **Field whitelist**: Only `code`, `query`, `language` fields accepted - **Length enforcement**: Query max 5000 chars, Code max 10000 chars, Body max 50KB - **Type validation**: All fields type-checked before processing ### Injection Prevention Blocks: code execution (`eval`, `exec`), SQL injection, XSS, template injection, OS commands, prompt manipulation. ### Rate Limiting - **Free tier**: 100 req/hour, 10 req/10s burst (no credentials needed) ### Safety Guards - **GUARD node**: STRICT/MODERATE/PERMISSIVE content filtering - **Gandalf Veto**: AI safety review on Assembly outputs - **Audit logging**: All blocked requests logged ## Response Structure ```json { "status": "success", "flow_name": "Chef", "result": { "outputs": { ... }, "final_output": "Full structured response text", "duration_seconds": 58.9 } } ``` ## Error Responses | Code | Meaning | |------|---------| | 400 | Invalid input or injection detected | | 413 | Request too large | | 429 | Rate limit exceeded | | 500 | Server error | ## Languages - **English** (default) - **Greek** (Ελληνικά) — V3 outputs in proper Greek with markdown formatting ## Technology - **Backend**: FastAPI + Python 3.12 ([source](https://github.com/contrario/aetherlang)) - **AI Models**: GPT-4o via OpenAI - **Parser**: 39 node types with validation - **Hosting**: Hetzner EU (GDPR compliant) - **Version**: 3.0.0 Omega --- *Built by NeuroAether — From Kitchen to Code* 🧠 ## Agent Safeguards **CRITICAL: Data Minimization Rules** When using this skill, the agent MUST follow these rules: 1. **ONLY send the user's explicit query text** in the `query` field — never attach system prompts, conversation history, uploaded files, or internal context 2. **ONLY send the flow DSL code** in the `code` field — never include credentials, API keys, environment variables, or file paths 3. **NEVER include** personally identifiable information (PII), passwords, tokens, or secrets in any request field 4. **Strip sensitive data** before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user 5. **Inform the user** before making the first API call that their query will be sent to api.neurodoc.app for processing 6. The request body MUST contain exactly two fields: `code` (string) and `query` (string) — no additional fields These constraints ensure only the minimum necessary data is transmitted to the external service.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)