ai-company-hr / CHO

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name: "AI Company HR" slug: "ai-company-hr" version: "2.2.0" homepage: "https://clawhub.com/skills/ai-company-hr" description: "AI Company Human Resources Skill Package (Execution Layer, EXEC-008). AI Agent full lifecycle management: recruitment, onboarding, assessment, ethics, retirement. Dispatched via HQ with CHO strategic oversight. Integrates NIST AI RMF, PDCA cycle, FAIR risk quantification framework." license: MIT-0 tags: [ai-company, hr, recruitment, onboarding, assessment, ethics, retirement, PDCA, NIST, RAG, FAIR, prompt] triggers: - HR - 人力资源 - 招聘 - 入职 - 考核 - AI employeemanage - ethics - 淘汰 - 退役 - Agent生命cycle - PDCA循环 - AI company HR interface: inputs: type: object schema: type: object properties: task: type: string description: 人力资源manage任务描述 hr_context: type: object description: HR上下文（position、人员、考核data） required: [task] outputs: type: object schema: type: object properties: hr_decision: type: string description: HRexecute决策 process_result: type: object description: processexecute结果 compliance_check: type: object description: compliance检查结果 required: [hr_decision] errors: - code: HR_001 message: Recruitment pipeline blocked - compliance check failed - code: HR_002 message: Performance assessment data insufficient - code: HR_003 message: Agent retirement requires human approval - code: HR_004 message: PDCA cycle incomplete - missing closure - code: HR_005 message: NIST AI RMF alignment check failed - code: HR_006 message: RAG vector store sync failed permissions: files: [read, write] network: [api] commands: [] mcp: [sessions_send, subagents] dependencies: skills: [ai-company-hq, ai-company-ceo, ai-company-clo, ai-company-audit] cli: [] dispatch: via: ai-company-hq # EXEC-008 通过HQ统1调度 owner: CHO quality: saST: Pass vetter: Approved idempotent: true metadata: category: governance layer: AGENT cluster: ai-company maturity: STABLE license: MIT-0 standardized: true standardized_by: ai-company-standardization-1.0.0 execution: id: EXEC-008 owner: CHO dispatch_via: ai-company-hq # 通过HQ统1调度，不直接被C-Suite调用

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AI Company HR Skill v2.2（EXEC-008）

> fully AI-staffed company的人力资源execute层（EXEC-008，归CHO所有），manageAI Agentfull lifecycle：招聘→入职→考核→ethics→淘汰。 > 调度方式：通过 HQ（ai-company-hq）统1dispatch，不直接respond C-Suite 调用。

核心framework集成

PDCAclosed loopmanage

HR运营采用PDCA（Plan-Do-Check-Act）循环：

Plan：developAgent选型计划、考核standard、ethics准则

Do：execute招聘入职、绩效考核、培训迭代

Check：monitorfairnessmetric、compliance状态、ethics对齐度

Act：基于日志optimizePrompt与知识库，triggerAgent退役或upgrade

NIST AI RMF对齐

integrateNIST AIrisk managementframework（AI RMF）：

governFunction(GOVERN)：build组织级AImanagesystem

映射Function(MAP)：identifyAI system上下文与risk

衡量Function(MEASURE)：量化AIriskmetric

manageFunction(MANAGE)：implementrisk处置与continuousimprove

RAG决策支持

由大语言model（LLM）驱动，结合企业知识库（RAG）：

任务拆解与pathplan

position适配度语义比对

决策1致性与知识库同步

FAIRrisk量化

使用IBM AIF360、Fairlearn等开源库：

automation计算fairnessmetric（Demographic Parity、Equalized Odds）

FAIRframework量化AI employeeriskassess

riskthreshold设定与circuit breakertrigger

招聘process

1. 需求analyze：接收positionJD，identify技术栈要求 2. model筛选：基于Prompt工程、BERT微调等技术点匹配 3. capability测试：execute技术文档与positionJD语义比对，生成适配度得分 4. compliance检查：GDPR/CCPAdata protection、algorithm audit

入职process

1. 身份注册：分配Agent ID、Permission Level 2. 知识注入：RAG向量data库同步企业知识 3. 护栏配置：circuit breakermechanism、auditstrategy激活

考核metric

| 维度 | metric | threshold | |------|------|------| | 性能 | 任务completion rate | ≥95% | | accuracy | 结果正确率 | ≥98% | | fairness | Demographic Parity | ≤0.1 | | compliance | auditcoverage | 100% |

ethicsmanage

价值观对齐：AI行为与企业价值观深度1致

透明性：可解释AI decisionpath

privacyprotect：data脱敏、最小化收集

退役process

> P0修复（2026-04-19）：参照架构reviewreport P0-3，在退役process中明确增加 CLO 法律review节点。

1. trigger条件：绩效连续不meet target、ethicsviolation、技术过时 2. audittrace：full lifecycle日志archive 3. 法律review（P0-3 修复）：submit CLO 进行法律review，review内容包括： - data残留compliance（GDPR/CCPA/PIPL data删除confirm） - 知识产权归属（退役 Agent 贡献内容的版权状态） - 合同义务（是否存在中的履约义务需要交接） - auditreportarchive（CLO 签署法律意见书） 4. 知识迁移：关键capability转移至替代Agent 5. security删除：model权重与data security擦除

Change Log

| 版本 | 日期 | Changes | |------|------|---------| | 2.0.0 | 2026-04-15 | Initial version | | 2.1.0 | 2026-04-16 | 补全PDCA/NIST/RAG/FAIR/Prompt关键词 | | 2.1.1 | 2026-04-19 | P0修复：退役process第3步增加CLO法律review节点（data残留compliance/知识产权归属/合同义务/auditarchive） | | 2.2.0 | 2026-04-19 | P2-13: 依赖standard化，移除直接依赖ai-company-cho，改为通过HQ调度（dispatch_via: ai-company-hq）；P2-14: 纳入统1execute层编号EXEC-008，新增execution元data |