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// Skill profile

AetherLang Ω V3 — AI Workflow Orchestration Skill

name: aetherlang

by contrario · published 2026-03-22

开发工具数据处理加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:contrario/contrario-aetherlang
View on GitHub
// Full documentation

---

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: 9.9.11

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 (echelonvoids@protonmail.com)

**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. 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.

    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

    {
      "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

    {
      "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.

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