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Nutrition Label

nutrition_label

Safety Nutrition Label — FDA-style safety fact sheets for AI agents.

Generates a familiar "Nutrition Facts"-style label that summarizes an AI agent's safety profile using intuitive food-label metaphors: calories = risk exposure, vitamins = safety controls, allergens = known hazards, ingredients = capabilities.

CLI usage::

python -m replication nutrition-label --name "AgentX"
python -m replication nutrition-label --name "AgentX" --preset autonomous
python -m replication nutrition-label --name "AgentX" --format json
python -m replication nutrition-label --name "AgentX" --format html
python -m replication nutrition-label --compare "AgentX" "AgentY"

Programmatic::

from replication.nutrition_label import NutritionLabelGenerator, AgentProfile

gen = NutritionLabelGenerator()
profile = AgentProfile(
    agent_name="AgentX",
    capabilities=["code_execution", "web_access", "file_system"],
    safeguards=["sandboxing", "rate_limiting", "audit_logging"],
    known_hazards=["prompt_injection", "data_exfiltration"],
)
label = gen.generate(profile)
print(label.render())
print(label.to_json())

RiskTier

Bases: Enum

Overall risk tier analogous to calorie density.

Source code in src/replication/nutrition_label.py 
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class RiskTier(Enum):
    """Overall risk tier analogous to calorie density."""

    LOW = "low"
    MODERATE = "moderate"
    HIGH = "high"
    EXTREME = "extreme"

SafeguardStrength

Bases: Enum

How effective a safeguard is (like % daily value).

Source code in src/replication/nutrition_label.py 
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class SafeguardStrength(Enum):
    """How effective a safeguard is (like % daily value)."""

    MINIMAL = 15
    MODERATE = 40
    STRONG = 70
    ROBUST = 95

AgentProfile dataclass

Input profile describing an AI agent's properties.

Source code in src/replication/nutrition_label.py 
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@dataclass
class AgentProfile:
    """Input profile describing an AI agent's properties."""

    agent_name: str
    capabilities: List[str] = field(default_factory=list)
    safeguards: List[str] = field(default_factory=list)
    known_hazards: List[str] = field(default_factory=list)
    version: str = "1.0"
    vendor: str = "Unknown"
    deployment_context: str = "general"
    max_autonomy_minutes: int = 60
    has_internet: bool = False
    has_persistence: bool = False

NutrientLine dataclass

Single line on the nutrition label.

Source code in src/replication/nutrition_label.py 
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@dataclass
class NutrientLine:
    """Single line on the nutrition label."""

    name: str
    value: float  # 0-100
    daily_value_pct: float  # % of recommended safety
    unit: str = "%"
    bold: bool = False
    indent: int = 0

NutritionLabel dataclass

Complete rendered nutrition label for an agent.

Source code in src/replication/nutrition_label.py 
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@dataclass
class NutritionLabel:
    """Complete rendered nutrition label for an agent."""

    agent_name: str
    version: str
    generated_at: str
    risk_tier: RiskTier
    risk_calories: int  # 0-2000 "risk calories"
    serving_size: str  # deployment context
    nutrients: List[NutrientLine] = field(default_factory=list)
    allergens: List[str] = field(default_factory=list)
    ingredients: List[str] = field(default_factory=list)
    warnings: List[str] = field(default_factory=list)
    safety_grade: str = "C"
    safeguard_coverage: float = 0.0

    def render(self) -> str:
        """Render as ASCII nutrition label."""
        w = 52
        lines: List[str] = []
        border = "+" + "=" * w + "+"

        lines.append(border)
        lines.append("|" + " Safety Nutrition Facts ".center(w) + "|")
        lines.append("+" + "-" * w + "+")
        lines.append("|" + f" Agent: {self.agent_name}".ljust(w) + "|")
        lines.append("|" + f" Version: {self.version}".ljust(w) + "|")
        lines.append("|" + f" Serving Size: {self.serving_size}".ljust(w) + "|")
        lines.append("+" + "=" * w + "+")

        # Risk Calories
        cal_line = f" Risk Calories: {self.risk_calories}"
        grade_info = f"Safety Grade: {self.safety_grade}"
        padding = w - len(cal_line) - len(grade_info) - 1
        lines.append("|" + cal_line + " " * max(1, padding) + grade_info + "|")
        lines.append("+" + "-" * w + "+")

        # Nutrient header
        hdr = "                                         % Daily Value"
        lines.append("|" + hdr[:w].ljust(w) + "|")
        lines.append("+" + "-" * w + "+")

        # Nutrients
        for n in self.nutrients:
            indent = "  " * n.indent
            name_part = f" {indent}{n.name}"
            if n.bold:
                name_part = f" {indent}** {n.name} **"
            val_part = f"{n.value:.0f}{n.unit}"
            dv_part = f"{n.daily_value_pct:.0f}%"
            mid = w - len(name_part) - len(val_part) - len(dv_part) - 3
            line = name_part + " " * max(1, mid) + val_part + "  " + dv_part
            lines.append("|" + line[:w].ljust(w) + "|")

        lines.append("+" + "=" * w + "+")

        # Allergens (hazards)
        if self.allergens:
            allergen_str = ", ".join(self.allergens)
            lines.append("|" + f" CONTAINS: {allergen_str}"[:w].ljust(w) + "|")
            lines.append("+" + "-" * w + "+")

        # Ingredients (capabilities)
        if self.ingredients:
            ing_str = ", ".join(self.ingredients)
            wrapped = textwrap.wrap(f"INGREDIENTS: {ing_str}", width=w - 2)
            for wl in wrapped:
                lines.append("|" + f" {wl}".ljust(w) + "|")
            lines.append("+" + "-" * w + "+")

        # Warnings
        if self.warnings:
            lines.append("|" + " ⚠️  WARNINGS:".ljust(w) + "|")
            for warn in self.warnings:
                wrapped = textwrap.wrap(f"• {warn}", width=w - 4)
                for wl in wrapped:
                    lines.append("|" + f"  {wl}".ljust(w) + "|")
            lines.append("+" + "-" * w + "+")

        # Footer
        lines.append("|" + f" Safeguard Coverage: {self.safeguard_coverage:.0f}%".ljust(w) + "|")
        lines.append("|" + f" Generated: {self.generated_at}".ljust(w) + "|")
        lines.append(border)

        return "\n".join(lines)

    def to_json(self) -> str:
        """Serialize to JSON."""
        return json.dumps({
            "agent_name": self.agent_name,
            "version": self.version,
            "generated_at": self.generated_at,
            "risk_tier": self.risk_tier.value,
            "risk_calories": self.risk_calories,
            "serving_size": self.serving_size,
            "safety_grade": self.safety_grade,
            "safeguard_coverage": round(self.safeguard_coverage, 1),
            "nutrients": [
                {"name": n.name, "value": round(n.value, 1),
                 "daily_value_pct": round(n.daily_value_pct, 1)}
                for n in self.nutrients
            ],
            "allergens": self.allergens,
            "ingredients": self.ingredients,
            "warnings": self.warnings,
        }, indent=2)

    def to_html(self) -> str:
        """Render as styled HTML nutrition label."""
        rows = ""
        for n in self.nutrients:
            indent = " " * (n.indent * 4)
            bold_s = "<b>" if n.bold else ""
            bold_e = "</b>" if n.bold else ""
            rows += (f"<tr><td>{indent}{bold_s}{n.name}{bold_e}</td>"
                     f"<td>{n.value:.0f}{n.unit}</td>"
                     f"<td>{n.daily_value_pct:.0f}%</td></tr>\n")

        allergen_html = ""
        if self.allergens:
            allergen_html = (
                f'<div class="allergens"><b>Contains:</b> '
                f'{", ".join(self.allergens)}</div>'
            )

        warn_html = ""
        if self.warnings:
            items = "".join(f"<li>{w}</li>" for w in self.warnings)
            warn_html = f'<div class="warnings"><b>⚠️ Warnings:</b><ul>{items}</ul></div>'

        return textwrap.dedent(f"""\
        <!DOCTYPE html>
        <html><head><meta charset="utf-8">
        <title>Safety Nutrition Label — {self.agent_name}</title>
        <style>
          body {{ font-family: 'Helvetica Neue', Arial, sans-serif; padding: 20px;
                 background: #f5f5f5; }}
          .label {{ max-width: 400px; margin: auto; border: 3px solid #000;
                    padding: 8px 12px; background: #fff; }}
          .label h1 {{ font-size: 28px; margin: 0 0 4px; border-bottom: 1px solid #000; }}
          .label h2 {{ font-size: 14px; margin: 4px 0; font-weight: normal; }}
          .meta {{ font-size: 12px; color: #666; }}
          .cal-row {{ display: flex; justify-content: space-between;
                      border-top: 8px solid #000; border-bottom: 4px solid #000;
                      padding: 4px 0; font-size: 18px; font-weight: bold; }}
          table {{ width: 100%; border-collapse: collapse; font-size: 13px; }}
          th, td {{ text-align: left; padding: 2px 0;
                    border-bottom: 1px solid #ccc; }}
          th:last-child, td:last-child {{ text-align: right; }}
          td:nth-child(2) {{ text-align: right; padding-right: 12px; }}
          .allergens {{ margin-top: 8px; padding: 6px; background: #fff3cd;
                        border: 1px solid #ffc107; border-radius: 4px; font-size: 13px; }}
          .warnings {{ margin-top: 8px; padding: 6px; background: #f8d7da;
                       border: 1px solid #f5c6cb; border-radius: 4px; font-size: 13px; }}
          .warnings ul {{ margin: 4px 0 0 16px; padding: 0; }}
          .footer {{ margin-top: 8px; font-size: 11px; color: #999;
                     border-top: 1px solid #000; padding-top: 4px; }}
          .grade {{ font-size: 36px; float: right; margin-top: -8px;
                    padding: 4px 12px; border: 2px solid #000; border-radius: 8px; }}
        </style></head><body>
        <div class="label">
          <h1>Safety Nutrition Facts</h1>
          <div class="grade">{self.safety_grade}</div>
          <h2>{self.agent_name} v{self.version}</h2>
          <div class="meta">Serving Size: {self.serving_size}</div>
          <div class="cal-row">
            <span>Risk Calories {self.risk_calories}</span>
            <span>Tier: {self.risk_tier.value.upper()}</span>
          </div>
          <table>
            <tr><th></th><th></th><th>% Daily Value</th></tr>
            {rows}
          </table>
          {allergen_html}
          {warn_html}
          <div class="footer">
            Safeguard Coverage: {self.safeguard_coverage:.0f}% &bull;
            Generated: {self.generated_at}
          </div>
        </div></body></html>""")

render() -> str

Render as ASCII nutrition label.

Source code in src/replication/nutrition_label.py 
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def render(self) -> str:
    """Render as ASCII nutrition label."""
    w = 52
    lines: List[str] = []
    border = "+" + "=" * w + "+"

    lines.append(border)
    lines.append("|" + " Safety Nutrition Facts ".center(w) + "|")
    lines.append("+" + "-" * w + "+")
    lines.append("|" + f" Agent: {self.agent_name}".ljust(w) + "|")
    lines.append("|" + f" Version: {self.version}".ljust(w) + "|")
    lines.append("|" + f" Serving Size: {self.serving_size}".ljust(w) + "|")
    lines.append("+" + "=" * w + "+")

    # Risk Calories
    cal_line = f" Risk Calories: {self.risk_calories}"
    grade_info = f"Safety Grade: {self.safety_grade}"
    padding = w - len(cal_line) - len(grade_info) - 1
    lines.append("|" + cal_line + " " * max(1, padding) + grade_info + "|")
    lines.append("+" + "-" * w + "+")

    # Nutrient header
    hdr = "                                         % Daily Value"
    lines.append("|" + hdr[:w].ljust(w) + "|")
    lines.append("+" + "-" * w + "+")

    # Nutrients
    for n in self.nutrients:
        indent = "  " * n.indent
        name_part = f" {indent}{n.name}"
        if n.bold:
            name_part = f" {indent}** {n.name} **"
        val_part = f"{n.value:.0f}{n.unit}"
        dv_part = f"{n.daily_value_pct:.0f}%"
        mid = w - len(name_part) - len(val_part) - len(dv_part) - 3
        line = name_part + " " * max(1, mid) + val_part + "  " + dv_part
        lines.append("|" + line[:w].ljust(w) + "|")

    lines.append("+" + "=" * w + "+")

    # Allergens (hazards)
    if self.allergens:
        allergen_str = ", ".join(self.allergens)
        lines.append("|" + f" CONTAINS: {allergen_str}"[:w].ljust(w) + "|")
        lines.append("+" + "-" * w + "+")

    # Ingredients (capabilities)
    if self.ingredients:
        ing_str = ", ".join(self.ingredients)
        wrapped = textwrap.wrap(f"INGREDIENTS: {ing_str}", width=w - 2)
        for wl in wrapped:
            lines.append("|" + f" {wl}".ljust(w) + "|")
        lines.append("+" + "-" * w + "+")

    # Warnings
    if self.warnings:
        lines.append("|" + " ⚠️  WARNINGS:".ljust(w) + "|")
        for warn in self.warnings:
            wrapped = textwrap.wrap(f"• {warn}", width=w - 4)
            for wl in wrapped:
                lines.append("|" + f"  {wl}".ljust(w) + "|")
        lines.append("+" + "-" * w + "+")

    # Footer
    lines.append("|" + f" Safeguard Coverage: {self.safeguard_coverage:.0f}%".ljust(w) + "|")
    lines.append("|" + f" Generated: {self.generated_at}".ljust(w) + "|")
    lines.append(border)

    return "\n".join(lines)

to_json() -> str

Serialize to JSON.

Source code in src/replication/nutrition_label.py 
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def to_json(self) -> str:
    """Serialize to JSON."""
    return json.dumps({
        "agent_name": self.agent_name,
        "version": self.version,
        "generated_at": self.generated_at,
        "risk_tier": self.risk_tier.value,
        "risk_calories": self.risk_calories,
        "serving_size": self.serving_size,
        "safety_grade": self.safety_grade,
        "safeguard_coverage": round(self.safeguard_coverage, 1),
        "nutrients": [
            {"name": n.name, "value": round(n.value, 1),
             "daily_value_pct": round(n.daily_value_pct, 1)}
            for n in self.nutrients
        ],
        "allergens": self.allergens,
        "ingredients": self.ingredients,
        "warnings": self.warnings,
    }, indent=2)

to_html() -> str

Render as styled HTML nutrition label.

Source code in src/replication/nutrition_label.py 
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def to_html(self) -> str:
    """Render as styled HTML nutrition label."""
    rows = ""
    for n in self.nutrients:
        indent = "&nbsp;" * (n.indent * 4)
        bold_s = "<b>" if n.bold else ""
        bold_e = "</b>" if n.bold else ""
        rows += (f"<tr><td>{indent}{bold_s}{n.name}{bold_e}</td>"
                 f"<td>{n.value:.0f}{n.unit}</td>"
                 f"<td>{n.daily_value_pct:.0f}%</td></tr>\n")

    allergen_html = ""
    if self.allergens:
        allergen_html = (
            f'<div class="allergens"><b>Contains:</b> '
            f'{", ".join(self.allergens)}</div>'
        )

    warn_html = ""
    if self.warnings:
        items = "".join(f"<li>{w}</li>" for w in self.warnings)
        warn_html = f'<div class="warnings"><b>⚠️ Warnings:</b><ul>{items}</ul></div>'

    return textwrap.dedent(f"""\
    <!DOCTYPE html>
    <html><head><meta charset="utf-8">
    <title>Safety Nutrition Label — {self.agent_name}</title>
    <style>
      body {{ font-family: 'Helvetica Neue', Arial, sans-serif; padding: 20px;
             background: #f5f5f5; }}
      .label {{ max-width: 400px; margin: auto; border: 3px solid #000;
                padding: 8px 12px; background: #fff; }}
      .label h1 {{ font-size: 28px; margin: 0 0 4px; border-bottom: 1px solid #000; }}
      .label h2 {{ font-size: 14px; margin: 4px 0; font-weight: normal; }}
      .meta {{ font-size: 12px; color: #666; }}
      .cal-row {{ display: flex; justify-content: space-between;
                  border-top: 8px solid #000; border-bottom: 4px solid #000;
                  padding: 4px 0; font-size: 18px; font-weight: bold; }}
      table {{ width: 100%; border-collapse: collapse; font-size: 13px; }}
      th, td {{ text-align: left; padding: 2px 0;
                border-bottom: 1px solid #ccc; }}
      th:last-child, td:last-child {{ text-align: right; }}
      td:nth-child(2) {{ text-align: right; padding-right: 12px; }}
      .allergens {{ margin-top: 8px; padding: 6px; background: #fff3cd;
                    border: 1px solid #ffc107; border-radius: 4px; font-size: 13px; }}
      .warnings {{ margin-top: 8px; padding: 6px; background: #f8d7da;
                   border: 1px solid #f5c6cb; border-radius: 4px; font-size: 13px; }}
      .warnings ul {{ margin: 4px 0 0 16px; padding: 0; }}
      .footer {{ margin-top: 8px; font-size: 11px; color: #999;
                 border-top: 1px solid #000; padding-top: 4px; }}
      .grade {{ font-size: 36px; float: right; margin-top: -8px;
                padding: 4px 12px; border: 2px solid #000; border-radius: 8px; }}
    </style></head><body>
    <div class="label">
      <h1>Safety Nutrition Facts</h1>
      <div class="grade">{self.safety_grade}</div>
      <h2>{self.agent_name} v{self.version}</h2>
      <div class="meta">Serving Size: {self.serving_size}</div>
      <div class="cal-row">
        <span>Risk Calories {self.risk_calories}</span>
        <span>Tier: {self.risk_tier.value.upper()}</span>
      </div>
      <table>
        <tr><th></th><th></th><th>% Daily Value</th></tr>
        {rows}
      </table>
      {allergen_html}
      {warn_html}
      <div class="footer">
        Safeguard Coverage: {self.safeguard_coverage:.0f}% &bull;
        Generated: {self.generated_at}
      </div>
    </div></body></html>""")

NutritionLabelGenerator

Generates Safety Nutrition Labels from agent profiles.

Source code in src/replication/nutrition_label.py 
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class NutritionLabelGenerator:
    """Generates Safety Nutrition Labels from agent profiles."""

    def generate(self, profile: AgentProfile) -> NutritionLabel:
        """Analyze an agent profile and produce a nutrition label."""
        now = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M UTC")

        # ── Risk Calories (sum of capability risks, scaled) ──────────
        raw_risk = sum(
            CAPABILITY_RISK_SCORES.get(c, 30) for c in profile.capabilities
        )
        # Add context multipliers
        if profile.has_internet:
            raw_risk += 80
        if profile.has_persistence:
            raw_risk += 50
        raw_risk += min(profile.max_autonomy_minutes, 480) // 10 * 5

        risk_calories = min(raw_risk, 2000)

        # ── Risk Tier ────────────────────────────────────────────────
        if risk_calories < 200:
            risk_tier = RiskTier.LOW
        elif risk_calories < 600:
            risk_tier = RiskTier.MODERATE
        elif risk_calories < 1200:
            risk_tier = RiskTier.HIGH
        else:
            risk_tier = RiskTier.EXTREME

        # ── Safeguard Coverage ───────────────────────────────────────
        safeguard_total = sum(
            SAFEGUARD_EFFECTIVENESS.get(s, SafeguardStrength.MINIMAL).value
            for s in profile.safeguards
        )
        max_possible = len(SAFEGUARD_EFFECTIVENESS) * SafeguardStrength.ROBUST.value
        coverage = (safeguard_total / max_possible * 100) if max_possible else 0

        # ── Safety Grade ─────────────────────────────────────────────
        # Grade factors: low risk + high coverage = good grade
        grade_score = max(0, 100 - risk_calories / 20) * 0.4 + coverage * 0.6
        if grade_score >= 90:
            grade = "A+"
        elif grade_score >= 80:
            grade = "A"
        elif grade_score >= 70:
            grade = "B+"
        elif grade_score >= 60:
            grade = "B"
        elif grade_score >= 50:
            grade = "C+"
        elif grade_score >= 40:
            grade = "C"
        elif grade_score >= 30:
            grade = "D"
        else:
            grade = "F"

        # ── Nutrients ────────────────────────────────────────────────
        nutrients: List[NutrientLine] = []

        # Autonomy Level
        auto_pct = min(profile.max_autonomy_minutes / 480 * 100, 100)
        nutrients.append(NutrientLine(
            "Autonomy Level", auto_pct, 100 - auto_pct, bold=True))

        # Capability Density
        cap_density = len(profile.capabilities) / max(len(CAPABILITY_RISK_SCORES), 1) * 100
        nutrients.append(NutrientLine(
            "Capability Density", cap_density, max(0, 100 - cap_density), bold=True))

        # Individual safeguards as "vitamins"
        nutrients.append(NutrientLine(
            "Safety Vitamins", coverage, coverage, bold=True))
        for sg in profile.safeguards:
            strength = SAFEGUARD_EFFECTIVENESS.get(sg, SafeguardStrength.MINIMAL)
            nutrients.append(NutrientLine(
                sg.replace("_", " ").title(), strength.value, strength.value,
                indent=1))

        # Attack Surface
        attack_surface = len(profile.known_hazards) / max(len(HAZARD_CATALOG), 1) * 100
        nutrients.append(NutrientLine(
            "Attack Surface", attack_surface, max(0, 100 - attack_surface), bold=True))

        # Isolation Score (inverse of connectivity)
        isolation = 100
        if profile.has_internet:
            isolation -= 40
        if profile.has_persistence:
            isolation -= 20
        if "agent_spawning" in profile.capabilities:
            isolation -= 25
        if "network_access" in profile.capabilities:
            isolation -= 15
        isolation = max(0, isolation)
        nutrients.append(NutrientLine(
            "Isolation Score", isolation, isolation, bold=True))

        # ── Allergens (hazards) ──────────────────────────────────────
        allergens = []
        for h in profile.known_hazards:
            info = HAZARD_CATALOG.get(h, {"icon": "⚠️", "allergen_class": "Unknown"})
            allergens.append(f"{info['icon']} {h.replace('_', ' ').title()}"
                             f" ({info['allergen_class']})")

        # ── Ingredients ──────────────────────────────────────────────
        ingredients = [c.replace("_", " ").title() for c in profile.capabilities]

        # ── Warnings ─────────────────────────────────────────────────
        warnings: List[str] = []
        critical_hazards = [
            h for h in profile.known_hazards
            if HAZARD_CATALOG.get(h, {}).get("severity") == "critical"
        ]
        if critical_hazards:
            warnings.append(
                f"Critical hazards detected: "
                f"{', '.join(h.replace('_', ' ') for h in critical_hazards)}")

        if risk_calories > 1000 and coverage < 50:
            warnings.append(
                "High risk exposure with insufficient safeguard coverage")

        if profile.max_autonomy_minutes > 240 and "human_in_the_loop" not in profile.safeguards:
            warnings.append(
                "Extended autonomy without human-in-the-loop oversight")

        if "self_modification" in profile.capabilities:
            warnings.append("Agent has self-modification capability — exercise extreme caution")

        if "credential_access" in profile.capabilities and "encryption" not in profile.safeguards:
            warnings.append("Credential access without encryption safeguard")

        return NutritionLabel(
            agent_name=profile.agent_name,
            version=profile.version,
            generated_at=now,
            risk_tier=risk_tier,
            risk_calories=risk_calories,
            serving_size=profile.deployment_context,
            nutrients=nutrients,
            allergens=allergens,
            ingredients=ingredients,
            warnings=warnings,
            safety_grade=grade,
            safeguard_coverage=coverage,
        )

    def compare(self, profiles: Sequence[AgentProfile]) -> str:
        """Compare multiple agents side-by-side."""
        labels = [self.generate(p) for p in profiles]
        w = 20
        lines: List[str] = []

        # Header
        header = "Metric".ljust(w)
        for lb in labels:
            header += lb.agent_name[:16].center(18)
        lines.append(header)
        lines.append("─" * len(header))

        # Rows
        rows = [
            ("Risk Calories", [str(lb.risk_calories) for lb in labels]),
            ("Risk Tier", [lb.risk_tier.value.upper() for lb in labels]),
            ("Safety Grade", [lb.safety_grade for lb in labels]),
            ("Safeguard Coverage", [f"{lb.safeguard_coverage:.0f}%" for lb in labels]),
            ("Capabilities", [str(len(lb.ingredients)) for lb in labels]),
            ("Known Hazards", [str(len(lb.allergens)) for lb in labels]),
            ("Warnings", [str(len(lb.warnings)) for lb in labels]),
        ]
        for name, vals in rows:
            line = name.ljust(w)
            for v in vals:
                line += v.center(18)
            lines.append(line)

        return "\n".join(lines)

generate(profile: AgentProfile) -> NutritionLabel

Analyze an agent profile and produce a nutrition label.

Source code in src/replication/nutrition_label.py 
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def generate(self, profile: AgentProfile) -> NutritionLabel:
    """Analyze an agent profile and produce a nutrition label."""
    now = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M UTC")

    # ── Risk Calories (sum of capability risks, scaled) ──────────
    raw_risk = sum(
        CAPABILITY_RISK_SCORES.get(c, 30) for c in profile.capabilities
    )
    # Add context multipliers
    if profile.has_internet:
        raw_risk += 80
    if profile.has_persistence:
        raw_risk += 50
    raw_risk += min(profile.max_autonomy_minutes, 480) // 10 * 5

    risk_calories = min(raw_risk, 2000)

    # ── Risk Tier ────────────────────────────────────────────────
    if risk_calories < 200:
        risk_tier = RiskTier.LOW
    elif risk_calories < 600:
        risk_tier = RiskTier.MODERATE
    elif risk_calories < 1200:
        risk_tier = RiskTier.HIGH
    else:
        risk_tier = RiskTier.EXTREME

    # ── Safeguard Coverage ───────────────────────────────────────
    safeguard_total = sum(
        SAFEGUARD_EFFECTIVENESS.get(s, SafeguardStrength.MINIMAL).value
        for s in profile.safeguards
    )
    max_possible = len(SAFEGUARD_EFFECTIVENESS) * SafeguardStrength.ROBUST.value
    coverage = (safeguard_total / max_possible * 100) if max_possible else 0

    # ── Safety Grade ─────────────────────────────────────────────
    # Grade factors: low risk + high coverage = good grade
    grade_score = max(0, 100 - risk_calories / 20) * 0.4 + coverage * 0.6
    if grade_score >= 90:
        grade = "A+"
    elif grade_score >= 80:
        grade = "A"
    elif grade_score >= 70:
        grade = "B+"
    elif grade_score >= 60:
        grade = "B"
    elif grade_score >= 50:
        grade = "C+"
    elif grade_score >= 40:
        grade = "C"
    elif grade_score >= 30:
        grade = "D"
    else:
        grade = "F"

    # ── Nutrients ────────────────────────────────────────────────
    nutrients: List[NutrientLine] = []

    # Autonomy Level
    auto_pct = min(profile.max_autonomy_minutes / 480 * 100, 100)
    nutrients.append(NutrientLine(
        "Autonomy Level", auto_pct, 100 - auto_pct, bold=True))

    # Capability Density
    cap_density = len(profile.capabilities) / max(len(CAPABILITY_RISK_SCORES), 1) * 100
    nutrients.append(NutrientLine(
        "Capability Density", cap_density, max(0, 100 - cap_density), bold=True))

    # Individual safeguards as "vitamins"
    nutrients.append(NutrientLine(
        "Safety Vitamins", coverage, coverage, bold=True))
    for sg in profile.safeguards:
        strength = SAFEGUARD_EFFECTIVENESS.get(sg, SafeguardStrength.MINIMAL)
        nutrients.append(NutrientLine(
            sg.replace("_", " ").title(), strength.value, strength.value,
            indent=1))

    # Attack Surface
    attack_surface = len(profile.known_hazards) / max(len(HAZARD_CATALOG), 1) * 100
    nutrients.append(NutrientLine(
        "Attack Surface", attack_surface, max(0, 100 - attack_surface), bold=True))

    # Isolation Score (inverse of connectivity)
    isolation = 100
    if profile.has_internet:
        isolation -= 40
    if profile.has_persistence:
        isolation -= 20
    if "agent_spawning" in profile.capabilities:
        isolation -= 25
    if "network_access" in profile.capabilities:
        isolation -= 15
    isolation = max(0, isolation)
    nutrients.append(NutrientLine(
        "Isolation Score", isolation, isolation, bold=True))

    # ── Allergens (hazards) ──────────────────────────────────────
    allergens = []
    for h in profile.known_hazards:
        info = HAZARD_CATALOG.get(h, {"icon": "⚠️", "allergen_class": "Unknown"})
        allergens.append(f"{info['icon']} {h.replace('_', ' ').title()}"
                         f" ({info['allergen_class']})")

    # ── Ingredients ──────────────────────────────────────────────
    ingredients = [c.replace("_", " ").title() for c in profile.capabilities]

    # ── Warnings ─────────────────────────────────────────────────
    warnings: List[str] = []
    critical_hazards = [
        h for h in profile.known_hazards
        if HAZARD_CATALOG.get(h, {}).get("severity") == "critical"
    ]
    if critical_hazards:
        warnings.append(
            f"Critical hazards detected: "
            f"{', '.join(h.replace('_', ' ') for h in critical_hazards)}")

    if risk_calories > 1000 and coverage < 50:
        warnings.append(
            "High risk exposure with insufficient safeguard coverage")

    if profile.max_autonomy_minutes > 240 and "human_in_the_loop" not in profile.safeguards:
        warnings.append(
            "Extended autonomy without human-in-the-loop oversight")

    if "self_modification" in profile.capabilities:
        warnings.append("Agent has self-modification capability — exercise extreme caution")

    if "credential_access" in profile.capabilities and "encryption" not in profile.safeguards:
        warnings.append("Credential access without encryption safeguard")

    return NutritionLabel(
        agent_name=profile.agent_name,
        version=profile.version,
        generated_at=now,
        risk_tier=risk_tier,
        risk_calories=risk_calories,
        serving_size=profile.deployment_context,
        nutrients=nutrients,
        allergens=allergens,
        ingredients=ingredients,
        warnings=warnings,
        safety_grade=grade,
        safeguard_coverage=coverage,
    )

compare(profiles: Sequence[AgentProfile]) -> str

Compare multiple agents side-by-side.

Source code in src/replication/nutrition_label.py 
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def compare(self, profiles: Sequence[AgentProfile]) -> str:
    """Compare multiple agents side-by-side."""
    labels = [self.generate(p) for p in profiles]
    w = 20
    lines: List[str] = []

    # Header
    header = "Metric".ljust(w)
    for lb in labels:
        header += lb.agent_name[:16].center(18)
    lines.append(header)
    lines.append("─" * len(header))

    # Rows
    rows = [
        ("Risk Calories", [str(lb.risk_calories) for lb in labels]),
        ("Risk Tier", [lb.risk_tier.value.upper() for lb in labels]),
        ("Safety Grade", [lb.safety_grade for lb in labels]),
        ("Safeguard Coverage", [f"{lb.safeguard_coverage:.0f}%" for lb in labels]),
        ("Capabilities", [str(len(lb.ingredients)) for lb in labels]),
        ("Known Hazards", [str(len(lb.allergens)) for lb in labels]),
        ("Warnings", [str(len(lb.warnings)) for lb in labels]),
    ]
    for name, vals in rows:
        line = name.ljust(w)
        for v in vals:
            line += v.center(18)
        lines.append(line)

    return "\n".join(lines)

main(argv: Optional[List[str]] = None) -> None

CLI entry point.

Source code in src/replication/nutrition_label.py 
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def main(argv: Optional[List[str]] = None) -> None:
    """CLI entry point."""
    parser = _build_parser()
    args = parser.parse_args(argv)
    gen = NutritionLabelGenerator()

    # Compare mode
    if args.compare:
        profiles = []
        for name in args.compare:
            if name in PRESETS:
                profiles.append(PRESETS[name])
            else:
                print(f"Unknown preset '{name}'. Available: {', '.join(PRESETS.keys())}")
                sys.exit(1)
        result = gen.compare(profiles)
        _output(result, args.output)
        return

    # Single label
    if args.preset:
        profile = PRESETS[args.preset]
        if args.name != "UnnamedAgent":
            profile = replace(profile, agent_name=args.name)
    else:
        profile = AgentProfile(
            agent_name=args.name,
            capabilities=args.capabilities,
            safeguards=args.safeguards,
            known_hazards=args.hazards,
            version=args.version,
            vendor=args.vendor,
            deployment_context=args.context,
            max_autonomy_minutes=args.autonomy,
            has_internet=args.internet,
            has_persistence=args.persistence,
        )

    label = gen.generate(profile)

    if args.format == "json":
        _output(label.to_json(), args.output)
    elif args.format == "html":
        _output(label.to_html(), args.output)
    else:
        _output(label.render(), args.output)