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基于全面审计报告的 P0-P2 修复工作： P0 (已完成): - intelligence 模块: 精确注释 dead_code 标注原因（Tauri runtime 注册） - compactor.rs: 实现 LLM 摘要生成（compact_with_llm） - pipeline_commands.rs: 替换 println! 为 tracing 宏 P1 (已完成): - 移除 8 个 gateway_* 向后兼容别名（OpenClaw 遗留） - 前端 tauri-gateway.ts 改为调用 zclaw_* 命令 - 清理 generation.rs 6 个重复的实例方法（-217 行） - A2A dead_code 注释更新 P2 (已完成): - Predictor/Lead HAND.toml 设置 enabled=false - Wasm/Native SkillMode 添加未实现说明 - browser/mod.rs 移除未使用的 re-export（消除 4 个警告） 文档更新: - feature-checklist.md 从 v0.4.0 更新到 v0.6.0 - CLAUDE.md Hands 状态更新 验证: cargo check 零警告, 42 测试通过, 净减 371 行代码
78 lines
1.7 KiB
TOML
78 lines
1.7 KiB
TOML
# Lead Hand - 销售线索发现能力包
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#
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# ZCLAW Hand 配置示例
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# 这个 Hand 自动发现和筛选销售线索
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#
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# ⚠️ 注意: 此 Hand 尚未实现 Rust 后端，仅作为设计文档保留。
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# 启用状态设为 false，前端不会显示为可用能力。
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[hand]
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name = "lead"
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version = "1.0.0"
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description = "销售线索发现和筛选能力包 - 自动识别潜在客户（未实现）"
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author = "ZCLAW Team"
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type = "automation"
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enabled = false
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requires_approval = true # 线索操作需要审批
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timeout = 600
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max_concurrent = 1
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tags = ["sales", "leads", "automation", "discovery", "qualification"]
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[hand.config]
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# 线索来源
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sources = ["linkedin", "company_website", "crunchbase", "public_records"]
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# 筛选条件
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[hand.config.filters]
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# 最小公司规模
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min_company_size = 10
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# 目标行业
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industries = ["technology", "saas", "fintech", "healthcare"]
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# 目标地区
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regions = ["china", "north_america", "europe"]
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# 评分权重
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[hand.config.scoring]
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company_fit = 0.4
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engagement_likelihood = 0.3
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budget_indication = 0.2
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timing_signals = 0.1
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[hand.triggers]
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manual = true
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schedule = true # 允许定时触发
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webhook = true
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# 定时触发：每天早上 9 点
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[[hand.triggers.schedules]]
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cron = "0 9 * * 1-5" # 工作日 9:00
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enabled = true
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timezone = "Asia/Shanghai"
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[hand.permissions]
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requires = [
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"web.search",
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"web.fetch",
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"api.external",
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"database.write"
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]
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roles = ["operator.read", "operator.write", "sales.read"]
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[hand.approval]
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# 审批流程配置
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timeout_hours = 24
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approvers = ["sales_manager", "admin"]
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auto_approve_after_hours = 0 # 不自动批准
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[hand.rate_limit]
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max_requests = 100
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window_seconds = 86400 # 每天
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[hand.audit]
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log_inputs = true
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log_outputs = true
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retention_days = 90 # 销售数据保留更久
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