```

feat(ai_agent): 完善AI适配器和服务功能

- 添加OpenClaw和Hermes健康检查接口
- 实现OpenClaw工具调用功能
- 重构AI适配器使用常量定义
- 增加AI技能系统支持
- 更新配置文件中的默认模型提供者设置

refactor(scheduler): 使用常量替换硬编码值

- 将硬编码的actor值替换为ActorValue常量
- 将receive_id_type替换为FeishuReceiveIdType枚举

refactor(audit): 统一审计日志常量使用

- 将硬编码的actor、source、risk_level等值替换为对应常量
- 更新审核服务中的状态和操作常量引用

refactor(approvals): 标准化审批模块常量使用

- 将applicant默认值替换为ActorValue.API常量
- 使用ApprovalStatus常量替代硬编码状态值
- 更新审核操作常量引用
```

app/modules/ai_agent/skills.py

@@ -0,0 +1,101 @@
+from dataclasses import dataclass
+from enum import StrEnum
+from typing import Any
+
+from fastapi import HTTPException, status
+
+
+class AISkillId(StrEnum):
+    """Stable identifiers for AI capabilities exposed to business modules."""
+
+    DRAFT_POLICY = "draft_policy"
+    INVESTMENT_RESEARCH = "investment_research"
+    PROJECT_LIFECYCLE_ANALYSIS = "project_lifecycle_analysis"
+    HERMES_MEMORY_RECALL = "hermes_memory_recall"
+    HERMES_MEMORY_WRITE = "hermes_memory_write"
+
+
+class AISkillSource(StrEnum):
+    """Audit source names for AI skill invocations."""
+
+    POLICY = "policy"
+    INVESTMENT = "investment"
+    REPORTS_LIFECYCLE = "reports.lifecycle"
+    AI_MEMORY = "ai.memory"
+
+
+@dataclass(frozen=True)
+class AISkill:
+    """Business-facing AI skill definition."""
+
+    skill_id: AISkillId
+    source: AISkillSource
+    instruction_template: str
+
+    def render(self, variables: dict[str, Any] | None = None) -> str:
+        return self.instruction_template.format(**(variables or {}))
+
+
+POLICY_DRAFT_INSTRUCTIONS = (
+    "Draft a company policy in Chinese. Title: {title}. Type: {policy_type}. "
+    "Include purpose, scope, roles, process, approval rules, audit rules, and KPI linkage. "
+    "Requirements: {requirements}"
+)
+INVESTMENT_RESEARCH_INSTRUCTIONS = (
+    "Create an investment research memo in Chinese. Do not give direct trading "
+    "instructions. Include thesis, risks, data needed, position sizing constraints, "
+    "and human approval checklist. Topic: {symbol_or_topic}. "
+    "Risk preference: {risk_preference}."
+)
+PROJECT_LIFECYCLE_ANALYSIS_INSTRUCTIONS = (
+    "请基于项目全生命周期统计，输出中文管理层分析。"
+    "包括总体判断、前三个风险、接下来一周优先动作。"
+    "不要审批付款、不要最终定绩效、不要下投资交易指令。"
+)
+HERMES_MEMORY_RECALL_INSTRUCTIONS = (
+    "Retrieve concise long-term memory, preferences, prior decisions, and relevant "
+    "business context for this request. Return only information useful to answer it."
+)
+HERMES_MEMORY_WRITE_INSTRUCTIONS = (
+    "Store durable lessons from this interaction for future company management "
+    "assistance. Ignore transient details and do not store secrets."
+)
+
+AI_SKILLS: dict[AISkillId, AISkill] = {
+    AISkillId.DRAFT_POLICY: AISkill(
+        skill_id=AISkillId.DRAFT_POLICY,
+        source=AISkillSource.POLICY,
+        instruction_template=POLICY_DRAFT_INSTRUCTIONS,
+    ),
+    AISkillId.INVESTMENT_RESEARCH: AISkill(
+        skill_id=AISkillId.INVESTMENT_RESEARCH,
+        source=AISkillSource.INVESTMENT,
+        instruction_template=INVESTMENT_RESEARCH_INSTRUCTIONS,
+    ),
+    AISkillId.PROJECT_LIFECYCLE_ANALYSIS: AISkill(
+        skill_id=AISkillId.PROJECT_LIFECYCLE_ANALYSIS,
+        source=AISkillSource.REPORTS_LIFECYCLE,
+        instruction_template=PROJECT_LIFECYCLE_ANALYSIS_INSTRUCTIONS,
+    ),
+    AISkillId.HERMES_MEMORY_RECALL: AISkill(
+        skill_id=AISkillId.HERMES_MEMORY_RECALL,
+        source=AISkillSource.AI_MEMORY,
+        instruction_template=HERMES_MEMORY_RECALL_INSTRUCTIONS,
+    ),
+    AISkillId.HERMES_MEMORY_WRITE: AISkill(
+        skill_id=AISkillId.HERMES_MEMORY_WRITE,
+        source=AISkillSource.AI_MEMORY,
+        instruction_template=HERMES_MEMORY_WRITE_INSTRUCTIONS,
+    ),
+}
+
+
+def get_ai_skill(skill_id: AISkillId | str) -> AISkill:
+    try:
+        normalized_id = AISkillId(skill_id)
+    except ValueError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=f"Unsupported AI skill: {skill_id}",
+        ) from exc
+    return AI_SKILLS[normalized_id]