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/* DESIGN tokens — consumed by Svelte, Hugo, Discord embeds, ANSI */

:root {
  /* Colors */
  --color-bg: #0d1117;
  --color-bg-elevated: #161b22;
  --color-border: #30363d;
  --color-text: #e6edf3;
  --color-text-muted: #8b949e;
  --color-accent: #58a6ff;
  --color-accent-hover: #79c0ff;
  --color-success: #3fb950;
  --color-warning: #d29922;
  --color-error: #f85149;
  --color-ghost: #6e7681;      /* SOUL */
  --color-user: #a371f7;       /* USER */
  --color-identity: #f78166;   /* IDENTITY */
  --color-memory: #7ee787;     /* MEMORY */
  --color-orchestration: #ffa657; /* AGENTS */
  --color-capability: #79c0ff; /* SKILL */
  --color-autonomic: #d2a8ff;  /* HEARTBEAT */
  --color-spec: #ff7b72;       /* PLAN */
  --color-swarm: #a5d6ff;      /* THESIS */

  /* Typography */
  --font-mono: "JetBrains Mono", "Fira Code", monospace;
  --font-sans: "IBM Plex Sans", system-ui, sans-serif;
  --text-xs: 0.75rem;
  --text-sm: 0.875rem;
  --text-base: 1rem;
  --text-lg: 1.125rem;
  --text-xl: 1.25rem;

  /* Spacing */
  --space-1: 0.25rem;
  --space-2: 0.5rem;
  --space-3: 0.75rem;
  --space-4: 1rem;
  --space-5: 1.5rem;
  --space-6: 2rem;
  --space-8: 3rem;

  /* Radius */
  --radius-sm: 4px;
  --radius-md: 6px;
  --radius-lg: 8px;
  --radius-full: 9999px;

  /* Shadows */
  --shadow-sm: 0 1px 2px rgba(0,0,0,0.3);
  --shadow-md: 0 4px 6px rgba(0,0,0,0.4);
  --shadow-lg: 0 10px 15px rgba(0,0,0,0.5);

  /* Transitions */
  --transition-fast: 150ms ease;
  --transition-base: 250ms ease;
  --transition-slow: 350ms ease;
}

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# Every agent, skill, cron job validates against thesis
alignment_check:
  - Does this advance self-documentation?
  - Does this enable self-improvement?
  - Is this spec-driven (req→task→verify)?
  - Does this respect operator sovereignty?
  - Does this strengthen durable memory?
  
  # If any answer is NO → pause, clarify, or refuse

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graph LR
    A[Raw Signals] --> B[Extraction]
    B --> C[Normalization]
    C --> D[Confidence Scoring]
    D --> E[Cross-Agent Aggregation]
    E --> F[Thesis Alignment Check]
    F --> G[Actionable Insights]
    G --> H[Memory Update / Skill Patch / Plan Adjust]

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def signal_confidence(signal):
    factors = {
        'source_reliability': 0.3,    # Web=0.5, Session=0.8, User=1.0
        'reproducibility': 0.25,      # Seen once=0.3, 3+=0.9
        'cross_validation': 0.2,      # Single source=0.4, multi=0.9
        'recency': 0.15,              # >30d=0.3, <7d=1.0
        'thesis_alignment': 0.1       # Contradicts=0.1, Strong=1.0
    }
    return sum(score * weight for score, weight in factors.values())