feat: 实现循环防护和安全验证功能

refactor(loop_guard): 为LoopGuard添加Clone派生
feat(capabilities): 实现CapabilityManager.validate()安全验证
fix(agentStore): 添加token用量追踪
chore: 删除未实现的Predictor/Lead HAND.toml文件
style(Credits): 移除假数据并标注开发中状态
refactor(Skills): 动态加载技能卡片
perf(configStore): 为定时任务添加localStorage降级
docs: 更新功能文档和版本变更记录

hands/lead.HAND.toml

@@ -1,77 +0,0 @@
-# Lead Hand - 销售线索发现能力包
-#
-# ZCLAW Hand 配置示例
-# 这个 Hand 自动发现和筛选销售线索
-#
-# ⚠️ 注意: 此 Hand 尚未实现 Rust 后端，仅作为设计文档保留。
-# 启用状态设为 false，前端不会显示为可用能力。
-
-[hand]
-name = "lead"
-version = "1.0.0"
-description = "销售线索发现和筛选能力包 - 自动识别潜在客户（未实现）"
-author = "ZCLAW Team"
-
-type = "automation"
-enabled = false
-requires_approval = true  # 线索操作需要审批
-timeout = 600
-max_concurrent = 1
-
-tags = ["sales", "leads", "automation", "discovery", "qualification"]
-
-[hand.config]
-# 线索来源
-sources = ["linkedin", "company_website", "crunchbase", "public_records"]
-
-# 筛选条件
-[hand.config.filters]
-# 最小公司规模
-min_company_size = 10
-# 目标行业
-industries = ["technology", "saas", "fintech", "healthcare"]
-# 目标地区
-regions = ["china", "north_america", "europe"]
-
-# 评分权重
-[hand.config.scoring]
-company_fit = 0.4
-engagement_likelihood = 0.3
-budget_indication = 0.2
-timing_signals = 0.1
-
-[hand.triggers]
-manual = true
-schedule = true  # 允许定时触发
-webhook = true
-
-# 定时触发：每天早上 9 点
-[[hand.triggers.schedules]]
-cron = "0 9 * * 1-5"  # 工作日 9:00
-enabled = true
-timezone = "Asia/Shanghai"
-
-[hand.permissions]
-requires = [
-  "web.search",
-  "web.fetch",
-  "api.external",
-  "database.write"
-]
-
-roles = ["operator.read", "operator.write", "sales.read"]
-
-[hand.approval]
-# 审批流程配置
-timeout_hours = 24
-approvers = ["sales_manager", "admin"]
-auto_approve_after_hours = 0  # 不自动批准
-
-[hand.rate_limit]
-max_requests = 100
-window_seconds = 86400  # 每天
-
-[hand.audit]
-log_inputs = true
-log_outputs = true
-retention_days = 90  # 销售数据保留更久

hands/predictor.HAND.toml

@@ -1,149 +0,0 @@
-# Predictor Hand - 预测分析能力包
-#
-# ZCLAW Hand 配置
-# 这个 Hand 提供预测分析、趋势预测和数据建模能力
-#
-# ⚠️ 注意: 此 Hand 尚未实现 Rust 后端，仅作为设计文档保留。
-# 启用状态设为 false，前端不会显示为可用能力。
-
-[hand]
-name = "predictor"
-version = "1.0.0"
-description = "预测分析能力包 - 执行回归、分类和时间序列预测（未实现）"
-author = "ZCLAW Team"
-
-# Hand 类型
-type = "data"
-
-# 未实现，禁用此 Hand
-enabled = false
-
-# 是否需要人工审批才能执行
-requires_approval = false
-
-# 默认超时时间（秒）
-timeout = 600
-
-# 最大并发执行数
-max_concurrent = 2
-
-# 能力标签
-tags = ["prediction", "analytics", "forecasting", "ml", "statistics"]
-
-[hand.config]
-# 模型配置
-default_model = "auto"  # auto, regression, classification, timeseries
-model_storage = "/tmp/zclaw/predictor/models"
-
-# 训练配置
-train_test_split = 0.8
-cross_validation = 5
-
-# 输出配置
-output_format = "report"  # report, json, chart
-include_visualization = true
-confidence_level = 0.95
-
-# 特征工程
-auto_feature_selection = true
-max_features = 50
-
-[hand.triggers]
-# 触发器配置
-manual = true
-schedule = true
-webhook = false
-
-# 事件触发器
-[[hand.triggers.events]]
-type = "data.updated"
-pattern = ".*(forecast|predict|analyze).*"
-priority = 7
-
-[[hand.triggers.events]]
-type = "chat.intent"
-pattern = "预测|分析|趋势|forecast|predict|analyze|trend"
-priority = 5
-
-[hand.permissions]
-# 权限要求
-requires = [
-  "file.read",
-  "file.write",
-  "compute.ml"
-]
-
-# RBAC 角色要求
-roles = ["operator.read", "operator.write"]
-
-# 速率限制
-[hand.rate_limit]
-max_requests = 20
-window_seconds = 3600  # 1 hour
-
-# 审计配置
-[hand.audit]
-log_inputs = true
-log_outputs = true
-retention_days = 30
-
-# 参数定义
-[[hand.parameters]]
-name = "dataSource"
-label = "数据源"
-type = "text"
-required = true
-description = "数据文件路径或 URL"
-
-[[hand.parameters]]
-name = "model"
-label = "模型类型"
-type = "select"
-required = true
-options = ["regression", "classification", "timeseries"]
-description = "预测模型的类型"
-
-[[hand.parameters]]
-name = "targetColumn"
-label = "目标列"
-type = "text"
-required = true
-description = "要预测的目标变量列名"
-
-[[hand.parameters]]
-name = "featureColumns"
-label = "特征列"
-type = "text"
-required = false
-description = "用于预测的特征列（逗号分隔，留空自动选择）"
-
-# 工作流步骤
-[[hand.workflow]]
-id = "load"
-name = "加载数据"
-description = "读取和验证输入数据"
-
-[[hand.workflow]]
-id = "preprocess"
-name = "数据预处理"
-description = "清洗数据、处理缺失值、特征工程"
-
-[[hand.workflow]]
-id = "train"
-name = "训练模型"
-description = "训练预测模型并进行交叉验证"
-
-[[hand.workflow]]
-id = "evaluate"
-name = "评估模型"
-description = "计算模型性能指标"
-
-[[hand.workflow]]
-id = "predict"
-name = "执行预测"
-description = "使用训练好的模型进行预测"
-
-[[hand.workflow]]
-id = "report"
-name = "生成报告"
-description = "生成包含可视化的分析报告"