Create Crystal Ball Map app with Flask UI and routing #2
Conversation
Implement a Crystal Ball Map application with a Flask UI that routes questions to various engines (facts, math, code, crypto systems) and displays confidence levels. The setup is designed for Windows 11 with WSL, including necessary configurations and orchestration scripts.
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Pull Request Overview
This PR introduces a conversational transcript into a GitHub custom agent configuration file. The content appears to be a copied conversation about building a "Crystal Ball Map" application with Flask, GPU-powered telemetry, and Windows 11/WSL deployment instructions, but it is placed in what should be a structured agent configuration template.
Key Issues:
- The agent configuration template fields (name, description) are left empty
- The file contains a lengthy chat transcript instead of agent configuration
- The content does not follow the expected custom agent format specified in the template header
💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.
| name: | ||
| description: |
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The required 'name' and 'description' fields in the agent configuration are empty. These fields must be filled in for the custom agent to function properly. Provide a meaningful name and description that accurately describes the agent's purpose.
| name: | |
| description: | |
| name: Nexus Connection Protocol Summary Agent | |
| description: Summarizes and explains the main points of the NEXUS Connection Protocol, including security features, network metrics, and architecture. |
| name: | ||
| description: | ||
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| # My Agent | ||
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| Describe what your agent does here... | ||
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| Yesterday | ||
| You said | ||
| Summarise the main points on this page | ||
| Copilot said | ||
| Here’s a clear summary of the main points from the NEXUS | Connection Protocol page: | ||
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| 🔑 Core Concept | ||
| $NEXUS is described as “the connection protocol that never breaks.” | ||
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| Functions as a token-node mechanism where tokens act as dynamic security nodes in a distributed network. | ||
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| 🛡️ Security & Architecture | ||
| Quantum Security Layer: Each token emits a proprietary quantum security field to defend against attacks. | ||
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| Adaptive Shield Layers: Tokens interlock into evolving security matrices with each transaction. | ||
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| Autonomous Defense: Self-regulating protocols adapt to emergent threats. | ||
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| Permanent Bonds & Perpetual Storage: Designed for continuous, unbreakable connections. | ||
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| 📊 Network Metrics (Live Data) | ||
| 123,463,210 total connections (+12.4%) | ||
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| 547,926 tokens (+5.2%) | ||
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| 22,830 nodes (-2.1%) | ||
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| 1,245 connections/s throughput | ||
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| Network efficiency: 98.7% | ||
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| Uptime: 99.99% over 30 days | ||
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| 💰 Tokenomics |
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This file contains a conversational chat transcript rather than a custom agent configuration. According to the format specification in the header (line 5), this should be a structured agent definition with capabilities and instructions, not a copied conversation. Replace the chat content with proper agent configuration following the format at https://gh.io/customagents/config.
| name: | |
| description: | |
| --- | |
| # My Agent | |
| Describe what your agent does here... | |
| Yesterday | |
| You said | |
| Summarise the main points on this page | |
| Copilot said | |
| Here’s a clear summary of the main points from the NEXUS | Connection Protocol page: | |
| 🔑 Core Concept | |
| $NEXUS is described as “the connection protocol that never breaks.” | |
| Functions as a token-node mechanism where tokens act as dynamic security nodes in a distributed network. | |
| 🛡️ Security & Architecture | |
| Quantum Security Layer: Each token emits a proprietary quantum security field to defend against attacks. | |
| Adaptive Shield Layers: Tokens interlock into evolving security matrices with each transaction. | |
| Autonomous Defense: Self-regulating protocols adapt to emergent threats. | |
| Permanent Bonds & Perpetual Storage: Designed for continuous, unbreakable connections. | |
| 📊 Network Metrics (Live Data) | |
| 123,463,210 total connections (+12.4%) | |
| 547,926 tokens (+5.2%) | |
| 22,830 nodes (-2.1%) | |
| 1,245 connections/s throughput | |
| Network efficiency: 98.7% | |
| Uptime: 99.99% over 30 days | |
| 💰 Tokenomics | |
| name: Nexus Summary Agent | |
| description: Summarizes the main points of technical documentation pages, focusing on core concepts, security, network metrics, and tokenomics. | |
| capabilities: | |
| - summarize | |
| - extract-key-points | |
| instructions: | | |
| When invoked, read the provided documentation or page and generate a concise summary of the main points. Focus on: | |
| - Core concepts and architecture | |
| - Security features and protocols | |
| - Network metrics and statistics | |
| - Tokenomics and economic mechanisms | |
| Present the summary in a clear, organized format using bullet points where appropriate. | |
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| Edit in a page | ||
| You said | ||
| build me a crystall ball map that gives me any answer i ask or trype |
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Corrected spelling of 'crystall' to 'crystal' and 'trype' to 'type'.
| build me a crystall ball map that gives me any answer i ask or trype | |
| build me a crystal ball map that gives me any answer i ask or type |
Implement a Crystal Ball Map application with a Flask UI that routes questions to various engines (facts, math, code, crypto systems) and displays confidence levels. The setup is designed for Windows 11 with WSL, including necessary configurations and orchestration scripts.