diff --git a/backend/agenteval/evaluation/go_no_go.py b/backend/agenteval/evaluation/go_no_go.py
new file mode 100644
index 0000000..b0afb2f
--- /dev/null
+++ b/backend/agenteval/evaluation/go_no_go.py
@@ -0,0 +1,137 @@
+"""Go/No-Go acceptance verdict for evaluation runs."""
+
+from datetime import datetime, timezone
+from typing import Any, Optional
+
+from pydantic import BaseModel, Field
+
+
+class AcceptanceCriteria(BaseModel):
+    """Acceptance criteria for go/no-go verdict."""
+
+    judged_pass_rate_min: float = Field(default=0.95, description="Minimum judged pass rate (0-1)")
+    pass_rate_min: float = Field(default=0.90, description="Minimum overall pass rate (0-1)")
+    avg_latency_max_ms: Optional[float] = Field(default=None, description="Maximum average latency in ms")
+    availability_min: Optional[float] = Field(default=None, description="Minimum availability (0-1), for campaign level")
+
+
+class CriterionResult(BaseModel):
+    """Result of checking a single criterion."""
+
+    criterion: str = Field(description="Criterion name")
+    threshold: float = Field(description="Threshold value")
+    actual: float = Field(description="Actual value")
+    passed: bool = Field(description="Whether the criterion passed")
+    detail: str = Field(default="", description="Human-readable detail")
+
+
+class GoNoGoVerdict(BaseModel):
+    """Go/No-Go verdict for an evaluation run."""
+
+    decision: str = Field(description="go | no_go | conditional")
+    summary: str = Field(description="Human-readable summary")
+    criteria_results: list[CriterionResult] = Field(default_factory=list)
+    generated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+
+
+def evaluate_go_no_go(
+    summary: dict[str, Any],
+    criteria: AcceptanceCriteria | None = None,
+) -> GoNoGoVerdict:
+    """Evaluate go/no-go verdict based on run summary and acceptance criteria.
+
+    Args:
+        summary: Run summary dict with keys like judged_pass_rate, pass_rate, avg_latency_ms
+        criteria: Acceptance criteria. If None, uses defaults.
+
+    Returns:
+        GoNoGoVerdict with decision, summary, and criteria results.
+    """
+    if criteria is None:
+        criteria = AcceptanceCriteria()
+
+    results: list[CriterionResult] = []
+
+    # Check judged pass rate (only if present in summary)
+    judged_pass_rate = summary.get("judged_pass_rate")
+    if judged_pass_rate is None:
+        judged_pass_rate = summary.get("pass_rate")
+    if judged_pass_rate is not None:
+        passed = judged_pass_rate >= criteria.judged_pass_rate_min
+        results.append(CriterionResult(
+            criterion="judged_pass_rate",
+            threshold=criteria.judged_pass_rate_min,
+            actual=judged_pass_rate,
+            passed=passed,
+            detail=f"判定型通过率 {judged_pass_rate*100:.1f}% {'>=' if passed else '<'} {criteria.judged_pass_rate_min*100:.0f}%",
+        ))
+
+    # Check overall pass rate (only if different from judged and present)
+    pass_rate = summary.get("pass_rate")
+    if pass_rate is not None and pass_rate != judged_pass_rate:
+        passed = pass_rate >= criteria.pass_rate_min
+        results.append(CriterionResult(
+            criterion="pass_rate",
+            threshold=criteria.pass_rate_min,
+            actual=pass_rate,
+            passed=passed,
+            detail=f"全量通过率 {pass_rate*100:.1f}% {'>=' if passed else '<'} {criteria.pass_rate_min*100:.0f}%",
+        ))
+
+    # Check average latency
+    avg_latency_ms = summary.get("avg_latency_ms")
+    if avg_latency_ms is not None and criteria.avg_latency_max_ms is not None:
+        passed = avg_latency_ms <= criteria.avg_latency_max_ms
+        results.append(CriterionResult(
+            criterion="avg_latency_ms",
+            threshold=criteria.avg_latency_max_ms,
+            actual=avg_latency_ms,
+            passed=passed,
+            detail=f"平均延迟 {avg_latency_ms:.0f}ms {'<=' if passed else '>'} {criteria.avg_latency_max_ms:.0f}ms",
+        ))
+
+    # Check availability (for campaign level)
+    availability = summary.get("overall_availability") or summary.get("availability")
+    if availability is not None and criteria.availability_min is not None:
+        passed = availability >= criteria.availability_min
+        results.append(CriterionResult(
+            criterion="availability",
+            threshold=criteria.availability_min,
+            actual=availability,
+            passed=passed,
+            detail=f"可用性 {availability*100:.1f}% {'>=' if passed else '<'} {criteria.availability_min*100:.0f}%",
+        ))
+
+    # Determine overall decision
+    if not results:
+        return GoNoGoVerdict(
+            decision="conditional",
+            summary="无可用指标进行评估",
+            criteria_results=[],
+        )
+
+    all_passed = all(r.passed for r in results)
+    if all_passed:
+        decision = "go"
+        main_metric = results[0]
+        summary_text = f"通过率 {main_metric.actual*100:.0f}%，达标，建议上线"
+    else:
+        # Check if core metrics (pass rate) failed
+        core_failed = any(
+            not r.passed and r.criterion in ("judged_pass_rate", "pass_rate", "availability")
+            for r in results
+        )
+        if core_failed:
+            decision = "no_go"
+            failed_metrics = [r for r in results if not r.passed]
+            summary_text = f"核心指标未达标（{', '.join(r.criterion for r in failed_metrics)}），不建议上线"
+        else:
+            decision = "conditional"
+            risky_metrics = [r for r in results if not r.passed]
+            summary_text = f"部分指标达标，存在风险项（{', '.join(r.criterion for r in risky_metrics)}），建议修复后复测"
+
+    return GoNoGoVerdict(
+        decision=decision,
+        summary=summary_text,
+        criteria_results=results,
+    )
diff --git a/backend/agenteval/evaluation/report.py b/backend/agenteval/evaluation/report.py
index 255e7a7..8e3ba82 100644
--- a/backend/agenteval/evaluation/report.py
+++ b/backend/agenteval/evaluation/report.py
@@ -12,6 +12,7 @@ from typing import Any, Optional
 from sqlmodel import Session
 
 from agenteval.evaluation.case_verdict import build_case_evidence, resolve_case_verdicts
+from agenteval.evaluation.go_no_go import evaluate_go_no_go
 from agenteval.evaluation.metrics import aggregate_runs
 from agenteval.evaluation.report_render import render_html, render_json, render_markdown
 from agenteval.models import Campaign, EvalRun, RunStatus, RunSummary
@@ -103,6 +104,21 @@ def generate_report(run_id: str, session=None) -> dict[str, Any]:
     if judged_pass_rate is None and judged_total > 0:
         judged_pass_rate = round((passed_cases - connectivity_count) / judged_total, 4)
 
+    summary_dict = {
+        "total_cases": total_cases,
+        "passed_cases": passed_cases,
+        "failed_cases": summary.failed_cases,
+        "total_rules": summary.total_rules,
+        "passed_rules": summary.passed_rules,
+        "pass_rate": summary.pass_rate if summary.pass_rate is not None else 0.0,
+        "connectivity_cases": connectivity_count,
+        "judged_pass_rate": judged_pass_rate,
+        "avg_latency_ms": summary.avg_latency_ms,
+    }
+
+    # Generate go/no-go verdict
+    verdict = evaluate_go_no_go(summary_dict)
+
     return {
         "run_id": run.id,
         "target_id": run.target_id,
@@ -114,16 +130,8 @@ def generate_report(run_id: str, session=None) -> dict[str, Any]:
         "status": run.status.value,
         "started_at": iso_utc(run.started_at),
         "completed_at": iso_utc(run.completed_at),
-        "summary": {
-            "total_cases": total_cases,
-            "passed_cases": passed_cases,
-            "failed_cases": summary.failed_cases,
-            "total_rules": summary.total_rules,
-            "passed_rules": summary.passed_rules,
-            "pass_rate": summary.pass_rate if summary.pass_rate is not None else 0.0,
-            "connectivity_cases": connectivity_count,
-            "judged_pass_rate": judged_pass_rate,
-        },
+        "summary": summary_dict,
+        "go_no_go": verdict.model_dump(mode="json"),
         "cases": cases,
     }
 
diff --git a/tests/unit/test_go_no_go.py b/tests/unit/test_go_no_go.py
new file mode 100644
index 0000000..fd10f67
--- /dev/null
+++ b/tests/unit/test_go_no_go.py
@@ -0,0 +1,138 @@
+"""Tests for go/no-go acceptance verdict."""
+
+import pytest
+
+from agenteval.evaluation.go_no_go import (
+    AcceptanceCriteria,
+    CriterionResult,
+    GoNoGoVerdict,
+    evaluate_go_no_go,
+)
+
+
+def test_go_verdict_all_pass():
+    """All criteria met -> go."""
+    summary = {
+        "judged_pass_rate": 0.96,
+        "pass_rate": 0.95,
+        "avg_latency_ms": 2000,
+    }
+    criteria = AcceptanceCriteria(
+        judged_pass_rate_min=0.95,
+        pass_rate_min=0.90,
+        avg_latency_max_ms=5000,
+    )
+    verdict = evaluate_go_no_go(summary, criteria)
+    assert verdict.decision == "go"
+    assert "达标" in verdict.summary
+    assert all(r.passed for r in verdict.criteria_results)
+
+
+def test_no_go_verdict_core_failed():
+    """Core metric (pass rate) failed -> no_go."""
+    summary = {
+        "judged_pass_rate": 0.80,
+        "pass_rate": 0.75,
+    }
+    criteria = AcceptanceCriteria(
+        judged_pass_rate_min=0.95,
+        pass_rate_min=0.90,
+    )
+    verdict = evaluate_go_no_go(summary, criteria)
+    assert verdict.decision == "no_go"
+    assert "不建议上线" in verdict.summary
+    assert any(not r.passed for r in verdict.criteria_results)
+
+
+def test_conditional_verdict_non_core_risk():
+    """Core passed but non-core (latency) failed -> conditional."""
+    summary = {
+        "judged_pass_rate": 0.96,
+        "pass_rate": 0.95,
+        "avg_latency_ms": 8000,
+    }
+    criteria = AcceptanceCriteria(
+        judged_pass_rate_min=0.95,
+        pass_rate_min=0.90,
+        avg_latency_max_ms=5000,
+    )
+    verdict = evaluate_go_no_go(summary, criteria)
+    assert verdict.decision == "conditional"
+    assert "风险" in verdict.summary
+
+
+def test_default_criteria():
+    """Default criteria should be applied when None."""
+    summary = {
+        "judged_pass_rate": 0.96,
+        "pass_rate": 0.95,
+    }
+    verdict = evaluate_go_no_go(summary, None)
+    assert verdict.decision == "go"
+    assert len(verdict.criteria_results) >= 1
+
+
+def test_empty_summary():
+    """Empty summary -> conditional with no results."""
+    verdict = evaluate_go_no_go({}, None)
+    assert verdict.decision == "conditional"
+    assert "无可用指标" in verdict.summary
+    assert len(verdict.criteria_results) == 0
+
+
+def test_criterion_result_model():
+    """CriterionResult model should work correctly."""
+    result = CriterionResult(
+        criterion="pass_rate",
+        threshold=0.95,
+        actual=0.96,
+        passed=True,
+        detail="通过率 96% >= 95%",
+    )
+    assert result.criterion == "pass_rate"
+    assert result.passed is True
+
+
+def test_verdict_model():
+    """GoNoGoVerdict model should work correctly."""
+    verdict = GoNoGoVerdict(
+        decision="go",
+        summary="测试通过",
+        criteria_results=[],
+    )
+    assert verdict.decision == "go"
+    assert verdict.generated_at is not None
+
+
+def test_latency_only_when_configured():
+    """Latency should only be checked when avg_latency_max_ms is set."""
+    summary = {
+        "judged_pass_rate": 0.96,
+        "avg_latency_ms": 10000,  # High latency
+    }
+    # Without latency threshold
+    criteria_no_latency = AcceptanceCriteria(judged_pass_rate_min=0.95)
+    verdict1 = evaluate_go_no_go(summary, criteria_no_latency)
+    assert verdict1.decision == "go"
+    assert all(r.criterion != "avg_latency_ms" for r in verdict1.criteria_results)
+
+    # With latency threshold
+    criteria_with_latency = AcceptanceCriteria(
+        judged_pass_rate_min=0.95,
+        avg_latency_max_ms=5000,
+    )
+    verdict2 = evaluate_go_no_go(summary, criteria_with_latency)
+    assert verdict2.decision == "conditional"
+    assert any(r.criterion == "avg_latency_ms" for r in verdict2.criteria_results)
+
+
+def test_judged_pass_rate_fallback_to_pass_rate():
+    """If judged_pass_rate is missing, fall back to pass_rate."""
+    summary = {"pass_rate": 0.96}
+    criteria = AcceptanceCriteria(judged_pass_rate_min=0.95)
+    verdict = evaluate_go_no_go(summary, criteria)
+    assert verdict.decision == "go"
+    # Should have one result using pass_rate as judged_pass_rate
+    assert len(verdict.criteria_results) == 1
+    assert verdict.criteria_results[0].criterion == "judged_pass_rate"
+    assert verdict.criteria_results[0].actual == 0.96