From 42ef0dec9e5361bc16c215c79f9f682dfc483dfe Mon Sep 17 00:00:00 2001 From: Nubenetes Bot Date: Mon, 18 May 2026 17:19:21 +0200 Subject: [PATCH] docs: fix Mermaid diagram text truncation and comply with Mandate 30 --- README.md | 52 ++++++++++++++++++++++++++-------------------------- 1 file changed, 26 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index bbd0b7c7..8ed8f5b2 100644 --- a/README.md +++ b/README.md @@ -186,7 +186,7 @@ This chart shows the high-level distribution across the primary domains of Cloud pie title Nubenetes Major Ecosystem Pillars "Kubernetes Ecosystem" : 3500 "Developer Ecosystem" : 3000 - "Public/Private Cloud" : 2500 + "Public and Private Cloud" : 2500 "CI/CD and GitOps" : 2200 "Infra as Code" : 1200 "SRE and Observability" : 1000 @@ -408,20 +408,20 @@ As of May 2026, Nubenetes implements a **Total Transparency Protocol** for AI op ### 6.7. Platinum Operational Tier (2026 Standards) The "Platinum" tier represents the highest level of autonomous maintenance, focusing on industrial-grade safety, legal compliance, and real-time infrastructure synchronization. -#### ⚖️ Legal & Compliance Guard +#### Legal and Compliance Guard - **License Integrity Monitoring**: The [Safety Guard](src/safety_guard.py) scans all repository links for license changes. - **Restrictive License Alerting**: Immediate detection of transitions to non-free licenses (e.g., BSL, SSPL). - **Compliance Dashboard**: Every PR includes a statistical summary of the ecosystem's license distribution to protect Open Source integrity (Mandate 33). -#### 🛡️ Advanced Safety & Standard Hardening +#### Advanced Safety and Standard Hardening - **Structural Integrity Audit**: [Safety Guard](src/safety_guard.py) enforces [Mandate 30](GEMINI.md) by blocking ampersands (`&`) and emojis in section titles to ensure cross-platform rendering. - **Anchor & TOC Validation**: Verifies that Table of Contents links point to valid, strictly lowercase anchors. - **Rendering Risk Detection**: Ensures HTML blocks like `
` include the mandatory `markdown="1"` attribute ([Mandate 19](GEMINI.md)). -#### 🔄 Infrastructure Auto-Sync +#### Infrastructure Auto-Sync - **Workflow UI Synchronization**: The [UI Sync Engine](src/sync_workflow_ui.py) automatically updates the [GitHub Actions Interface](.github/workflows/agentic_cron.yml) whenever [Curation Sources](data/curation_sources.yaml) are added or modified ([Mandate 11](GEMINI.md)). -#### 🕵️ Reputation Pulse (Vaporware Filter) +#### Reputation Pulse (Vaporware Filter) - **Community-Based Vetting**: The [Curation Engine](src/agentic_curator.py) utilizes **Google Search Grounding** to cross-reference new tools with platforms like Reddit and Hacker News. - **Suspicious Tool Labeling**: Autonomously penalizes and labels projects reported as abandoned or unstable as `[SUSPICIOUS]` in the [Global Inventory](data/inventory.yaml) ([Mandate 32](GEMINI.md)). @@ -441,13 +441,13 @@ The following matrix details the operational jump from standard automation to th ```mermaid graph TD - A["Curation Source (YAML)"] --> B["[Mandate 11] UI Auto-Sync"] - B --> C["GitHub Actions Interface"] - D["Discovery Engine"] --> E["[Mandate 32] Reputation Grounding"] + A["Curation Source (YAML)"] --> B["[Mandate 11]
UI Auto-Sync"] + B --> C["GitHub Actions
Interface"] + D["Discovery Engine"] --> E["[Mandate 32]
Reputation Grounding"] E --> F["Vaporware Filtering"] F --> G["Global Inventory"] - G --> H["[Mandate 33] License Dashboard"] - H --> I["PR Platinum Audit Report"] + G --> H["[Mandate 33]
License Dashboard"] + H --> I["PR Platinum Audit
Report"] ``` --- @@ -512,15 +512,15 @@ For large-scale repository automation, Nubenetes prioritizes the **Pay-As-You-Go ### 7.5. Agentic Data Flow ```mermaid graph TD - AC[Agentic Curator] -->|Canonical Normalization| DB[(Unified DB)] - LC[Link Cleaner] -->|Health & Metadata Enrichment| DB - V2[V2 Vision Engine] -->|Elite Selection & Maturity Evolution| DB + AC["Agentic Curator"] -->|"Canonical Normalization"| DB[("Unified DB")] + LC["Link Cleaner"] -->|"Health and Metadata
Enrichment"| DB + V2["V2 Vision Engine"] -->|"Elite Selection and
Maturity Evolution"| DB - DB -->|Metadata Sync| V1[V1 Archive: docs/] - DB -->|Trending: The Agentic Pulse| V2P[V2 Portal: v2-docs/] + DB -->|"Metadata Sync"| V1["V1 Archive: docs/"] + DB -->|"Trending:
The Agentic Pulse"| V2P["V2 Portal: v2-docs/"] subgraph Local Storage - DB1[inventory.yaml] + DB1["inventory.yaml"] end ``` @@ -598,19 +598,19 @@ The following flowchart illustrates how autonomous discovery and maintenance tas ```mermaid graph TD - subgraph "Phase 1: Knowledge Discovery & Maintenance" + subgraph "Phase 1: Knowledge Discovery and Maintenance" A["New Curation Source
(X.com, RSS)"] --> B["[1] Agentic Curation"] C["Scheduled / Manual Audit"] --> D["[4] Intelligent Cleaner"] end - B -->|Merged into develop| E{"V2 Sync Trigger"} - D -->|Merged into develop| E + B -->|"Merged into develop"| E{"V2 Sync Trigger"} + D -->|"Merged into develop"| E subgraph "Phase 2: Elite Optimization" E --> F["[2] V2 Elite Builder"] end - subgraph "Phase 3: Documentation & Metrics" + subgraph "Phase 3: Documentation and Metrics" F --> G["[3] README Sync"] end @@ -624,7 +624,7 @@ graph TD ### 9.4. Curation Flow Architecture ```mermaid sequenceDiagram - participant X as X.com / Sources + participant X as X.com and Sources participant G as Gemini Agent participant W1 as [1] Agentic Curation participant W2 as [2] V2 Elite Builder @@ -635,17 +635,17 @@ sequenceDiagram W1->>X: Extract Raw Data X-->>W1: Raw JSON/MD - W1->>G: Evaluate & Score Assets - G-->>W1: Scored & Categorized Assets + W1->>G: Evaluate and Score Assets + G-->>W1: Scored and Categorized Assets W1->>R: Update docs/*.md (V1) Note over R: V2 Builder Triggered... W2->>R: Update v2-docs/ (Elite) R->>W3: Trigger README Sync - W3->>R: Update Metrics & TOC - Note over R, M: Owner Review & Merge + W3->>R: Update Metrics and TOC + Note over R, M: Owner Review and Merge R->>M: Sync develop to master M->>P: Trigger Production Build - P-->>P: Deploy V1 & V2 to nubenetes.com + P-->>P: Deploy V1 and V2 to nubenetes.com ``` ### 9.5. Deployment Lifecycle