docs(wiki): Phase 2 自学习闭环验证记录 — 进化引擎全链路确认

验证自学习闭环完整链路:
- 4 次经验累积 → reuse_count=3 → 模式识别触发
- 低于阈值不触发 → 正确过滤
- 多模式独立跟踪 → 行业上下文保留
- SkillGenerator prompt 构建 → 包含步骤/工具/行业
- QualityGate 验证 → 通过/冲突检测
- FeedbackCollector 信任度 → 正负反馈计分

全量测试: 918 PASS, 0 FAIL

crates/zclaw-growth/tests/evolution_loop_test.rs

@@ -0,0 +1,207 @@
+//! Evolution loop integration test
+//!
+//! Tests the complete self-learning loop:
+//! Experience accumulation → Pattern recognition → Evolution suggestion
+
+use std::sync::Arc;
+use zclaw_growth::{
+    EvolutionEngine, Experience, ExperienceStore, PatternAggregator,
+    SqliteStorage, VikingAdapter,
+};
+
+fn make_experience(agent_id: &str, pattern: &str, steps: Vec<&str>, tool: Option<&str>) -> Experience {
+    let mut exp = Experience::new(
+        agent_id,
+        pattern,
+        &format!("{}相关任务", pattern),
+        steps.into_iter().map(|s| s.to_string()).collect(),
+        "成功解决",
+    );
+    exp.tool_used = tool.map(|t| t.to_string());
+    exp
+}
+
+/// Store N experiences with the same pain pattern, then verify pattern recognition
+#[tokio::test]
+async fn test_evolution_loop_four_experiences_trigger_pattern() {
+    let storage = Arc::new(SqliteStorage::in_memory().await);
+    let adapter = Arc::new(VikingAdapter::new(storage));
+    let store = Arc::new(ExperienceStore::new(adapter.clone()));
+    let agent_id = "test-agent-evolution";
+
+    // Store 4 experiences with the same pain pattern
+    for _ in 0..4 {
+        let exp = make_experience(
+            agent_id,
+            "生成每日报表",
+            vec!["打开Excel", "选择模板", "导出PDF"],
+            Some("excel_tool"),
+        );
+        store.store_experience(&exp).await.unwrap();
+    }
+
+    // Verify experiences were stored and reuse_count accumulated
+    let all = store.find_by_agent(agent_id).await.unwrap();
+    assert_eq!(all.len(), 1, "Same pattern should merge into 1 experience");
+    assert_eq!(all[0].reuse_count, 3, "4 stores → reuse_count=3");
+
+    // Pattern aggregator should find this as evolvable
+    let agg_store = ExperienceStore::new(adapter.clone());
+    let aggregator = PatternAggregator::new(agg_store);
+    let patterns = aggregator.find_evolvable_patterns(agent_id, 3).await.unwrap();
+    assert_eq!(patterns.len(), 1, "Should find 1 evolvable pattern");
+    assert_eq!(patterns[0].pain_pattern, "生成每日报表");
+    assert!(patterns[0].total_reuse >= 3);
+    assert!(!patterns[0].common_steps.is_empty(), "Should find common steps");
+
+    // Evolution engine should detect the same patterns
+    let engine = EvolutionEngine::new(adapter);
+    let evolvable = engine.check_evolvable_patterns(agent_id).await.unwrap();
+    assert_eq!(evolvable.len(), 1, "EvolutionEngine should detect 1 evolvable pattern");
+    assert_eq!(evolvable[0].pain_pattern, "生成每日报表");
+}
+
+/// Verify that experiences below threshold are NOT marked evolvable
+#[tokio::test]
+async fn test_evolution_loop_below_threshold_not_evolvable() {
+    let storage = Arc::new(SqliteStorage::in_memory().await);
+    let adapter = Arc::new(VikingAdapter::new(storage));
+    let store = Arc::new(ExperienceStore::new(adapter.clone()));
+    let agent_id = "test-agent-below";
+
+    // Store only 2 experiences (below min_reuse=3)
+    for _ in 0..2 {
+        let exp = make_experience(agent_id, "低频任务", vec!["步骤1"], None);
+        store.store_experience(&exp).await.unwrap();
+    }
+
+    let all = store.find_by_agent(agent_id).await.unwrap();
+    assert_eq!(all.len(), 1);
+    assert_eq!(all[0].reuse_count, 1, "2 stores → reuse_count=1");
+
+    let engine = EvolutionEngine::new(adapter);
+    let evolvable = engine.check_evolvable_patterns(agent_id).await.unwrap();
+    assert!(evolvable.is_empty(), "Below threshold should not be evolvable");
+}
+
+/// Verify multiple different patterns are tracked independently
+#[tokio::test]
+async fn test_evolution_loop_multiple_patterns() {
+    let storage = Arc::new(SqliteStorage::in_memory().await);
+    let adapter = Arc::new(VikingAdapter::new(storage));
+    let store = Arc::new(ExperienceStore::new(adapter.clone()));
+    let agent_id = "test-agent-multi";
+
+    // Pattern A: 4 occurrences → evolvable
+    for _ in 0..4 {
+        let mut exp = make_experience(agent_id, "报表生成", vec!["打开系统", "选择日期"], Some("browser"));
+        exp.industry_context = Some("医疗".into());
+        store.store_experience(&exp).await.unwrap();
+    }
+
+    // Pattern B: 2 occurrences → not evolvable
+    for _ in 0..2 {
+        let exp = make_experience(agent_id, "会议纪要", vec!["录音转文字"], None);
+        store.store_experience(&exp).await.unwrap();
+    }
+
+    let engine = EvolutionEngine::new(adapter);
+    let evolvable = engine.check_evolvable_patterns(agent_id).await.unwrap();
+    assert_eq!(evolvable.len(), 1, "Only pattern A should be evolvable");
+    assert_eq!(evolvable[0].pain_pattern, "报表生成");
+    assert_eq!(evolvable[0].total_reuse, 3);
+    assert_eq!(evolvable[0].industry_context, Some("医疗".into()));
+}
+
+/// Test SkillGenerator prompt building from evolvable pattern
+#[tokio::test]
+async fn test_skill_generator_from_evolvable_pattern() {
+    use zclaw_growth::{AggregatedPattern, SkillGenerator};
+
+    let pattern = AggregatedPattern {
+        pain_pattern: "生成每日报表".to_string(),
+        experiences: vec![],
+        common_steps: vec!["打开Excel".into(), "选择模板".into(), "导出PDF".into()],
+        total_reuse: 5,
+        tools_used: vec!["excel_tool".into()],
+        industry_context: Some("医疗".into()),
+    };
+
+    let prompt = SkillGenerator::build_prompt(&pattern);
+    assert!(prompt.contains("生成每日报表"));
+    assert!(prompt.contains("打开Excel"));
+    assert!(prompt.contains("excel_tool"));
+}
+
+/// Test QualityGate validates skill candidates
+#[tokio::test]
+async fn test_quality_gate_validation() {
+    use zclaw_growth::{QualityGate, SkillCandidate};
+
+    let candidate = SkillCandidate {
+        name: "每日报表生成".to_string(),
+        description: "自动生成并导出每日报表".to_string(),
+        triggers: vec!["生成报表".into(), "每日报表".into()],
+        tools: vec!["excel_tool".into()],
+        body_markdown: "## 每日报表生成\n\n1. 打开Excel\n2. 选择模板\n3. 导出PDF".to_string(),
+        source_pattern: "生成每日报表".to_string(),
+        confidence: 0.85,
+        version: 1,
+    };
+
+    let gate = QualityGate::new(0.7, vec![]);
+    let report = gate.validate_skill(&candidate);
+    assert!(report.passed, "Valid candidate should pass quality gate");
+    assert!(report.issues.is_empty());
+
+    // Test with conflicting trigger
+    let gate_with_conflict = QualityGate::new(0.7, vec!["生成报表".into()]);
+    let report = gate_with_conflict.validate_skill(&candidate);
+    assert!(!report.passed, "Conflicting trigger should fail");
+}
+
+/// Test FeedbackCollector trust score updates
+#[tokio::test]
+async fn test_feedback_collector_trust_evolution() {
+    use zclaw_growth::feedback_collector::{
+        EvolutionArtifact, FeedbackCollector, FeedbackEntry, FeedbackSignal, Sentiment,
+    };
+
+    let storage = Arc::new(SqliteStorage::in_memory().await);
+    let adapter = Arc::new(VikingAdapter::new(storage));
+    let mut collector = FeedbackCollector::with_viking(adapter);
+
+    // Submit 3 positive feedbacks across 2 skills
+    for i in 0..3 {
+        let entry = FeedbackEntry {
+            artifact_id: format!("skill-{}", i % 2),
+            artifact_type: EvolutionArtifact::Skill,
+            signal: FeedbackSignal::Explicit,
+            sentiment: Sentiment::Positive,
+            details: Some("很有用".into()),
+            timestamp: chrono::Utc::now(),
+        };
+        collector.submit_feedback(entry);
+    }
+
+    // Submit 1 negative feedback
+    let negative = FeedbackEntry {
+        artifact_id: "skill-0".to_string(),
+        artifact_type: EvolutionArtifact::Skill,
+        signal: FeedbackSignal::Explicit,
+        sentiment: Sentiment::Negative,
+        details: Some("步骤有误".into()),
+        timestamp: chrono::Utc::now(),
+    };
+    collector.submit_feedback(negative);
+
+    // skill-0: 2 positive + 1 negative
+    let trust0 = collector.get_trust("skill-0").unwrap();
+    assert_eq!(trust0.positive_count, 2);
+    assert_eq!(trust0.negative_count, 1);
+
+    // skill-1: 1 positive only
+    let trust1 = collector.get_trust("skill-1").unwrap();
+    assert_eq!(trust1.positive_count, 1);
+    assert_eq!(trust1.negative_count, 0);
+}

wiki/log.md

@@ -25,6 +25,15 @@ tags: [log, history]
 
 验证: cargo check 0 error | cargo test 912 PASS | tsc --noEmit 0 error
 
+## [2026-04-21] test | Phase 2 自学习闭环验证 — 进化引擎全链路确认 (commit d95fda3)
+
+**审计发现**: 进化引擎管道已完整连接，Phase 0 的 reuse_count 修复是唯一缺失拼图。
+- 经验累积 → PatternAggregator(>=3) → EvolutionEngine → EvolutionMiddleware(@78) → <evolution-suggestion> 注入
+- L2 SkillGenerator + QualityGate 代码完整，标记 @reserved 用于全自动化(后续)
+- 当前"人在环"模式：检测到可进化模式 → 提示用户确认 → 不自动生成
+
+**6 个集成测试**: 经验累积触发/阈值过滤/多模式独立/SkillGenerator prompt/QualityGate验证/FeedbackCollector计分。全量 918 PASS。
+
 ## [2026-04-20] fix | 50 轮功能链路审计 7 项断链修复 (commit f291736)
 
 **审计报告**: `docs/test-evidence/FUNCTIONAL_CHAIN_AUDIT_2026_04_20.md`