feat(beaver): 完成Task Team功能v1实现，重构后端架构支持统一内核

新增内部Task系统，包括验证、反馈门控机制，实现自动质量验证
(通过率>=0.75)和用户反馈闭环(satisfied/revise/abandon)。

实现Agent Team v1协调器，支持sequence/parallel/dag执行策略，
sub-agent复用主AgentLoop，每个run使用独立memory snapshot。

建立Skill学习pipeline，包含draft/审核/发布/回滚完整生命周期，
通过Task验证通过且用户满意才生成学习候选。

重构目录结构，移除third_party依赖，建立统一engine内核，
所有agent共享运行时基础组件。

更新ContextBuilder清理provider消息字段，增强SkillContext版本管理，
集成TaskExecutionPlanner和TaskSkillResolver实现技能解析机制。

app-instance/backend/beaver/memory/runs/store.py

@@ -0,0 +1,98 @@
+"""File-backed run receipt store."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from .models import RunRecord, SkillEffectRecord
+
+
+class RunMemoryStore:
+    def __init__(self, root: str | Path) -> None:
+        self.root = Path(root)
+        self.root.mkdir(parents=True, exist_ok=True)
+        self.runs_path = self.root / "runs.jsonl"
+        self.effects_path = self.root / "skill-effects.jsonl"
+
+    def append_run_record(self, record: RunRecord) -> None:
+        self._append_jsonl(self.runs_path, record.to_dict())
+
+    def update_run_record(self, run_id: str, **updates: object) -> RunRecord | None:
+        records = self.list_runs()
+        updated: RunRecord | None = None
+        for index, record in enumerate(records):
+            if record.run_id != run_id:
+                continue
+            payload = record.to_dict()
+            payload.update(updates)
+            updated = RunRecord.from_dict(payload)
+            records[index] = updated
+            break
+        if updated is None:
+            return None
+        self.runs_path.parent.mkdir(parents=True, exist_ok=True)
+        self.runs_path.write_text(
+            "".join(
+                json.dumps(record.to_dict(), ensure_ascii=False, sort_keys=True) + "\n"
+                for record in records
+            ),
+            encoding="utf-8",
+        )
+        return updated
+
+    def append_skill_effect(self, effect: SkillEffectRecord) -> None:
+        self._append_jsonl(self.effects_path, effect.to_dict())
+
+    def list_runs(self) -> list[RunRecord]:
+        return [RunRecord.from_dict(item) for item in self._read_jsonl(self.runs_path)]
+
+    def list_runs_by_skill(self, skill_name: str, version: str | None = None, limit: int | None = None) -> list[RunRecord]:
+        results: list[RunRecord] = []
+        for record in self.list_runs():
+            matched = False
+            for receipt in record.activated_skills:
+                if receipt.skill_name != skill_name:
+                    continue
+                if version is not None and receipt.skill_version != version:
+                    continue
+                matched = True
+                break
+            if matched:
+                results.append(record)
+        if limit is not None:
+            return results[-limit:]
+        return results
+
+    def list_skill_effects(self, skill_name: str, version: str | None = None, limit: int | None = None) -> list[SkillEffectRecord]:
+        results: list[SkillEffectRecord] = []
+        for payload in self._read_jsonl(self.effects_path):
+            effect = SkillEffectRecord.from_dict(payload)
+            if effect.skill_name != skill_name:
+                continue
+            if version is not None and effect.skill_version != version:
+                continue
+            results.append(effect)
+        if limit is not None:
+            return results[-limit:]
+        return results
+
+    @staticmethod
+    def _append_jsonl(path: Path, payload: dict) -> None:
+        path.parent.mkdir(parents=True, exist_ok=True)
+        with path.open("a", encoding="utf-8") as handle:
+            handle.write(json.dumps(payload, ensure_ascii=False, sort_keys=True) + "\n")
+
+    @staticmethod
+    def _read_jsonl(path: Path) -> list[dict]:
+        if not path.exists():
+            return []
+        results: list[dict] = []
+        for line in path.read_text(encoding="utf-8").splitlines():
+            cleaned = line.strip()
+            if not cleaned:
+                continue
+            payload = json.loads(cleaned)
+            if isinstance(payload, dict):
+                results.append(payload)
+        return results