.claude/skills/ai-building-ai-governanceRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
AI 造 AI 治理与安全实操手册——面向"AI 自主开发与自我改进"前沿的治理框架:AI 造 AI 形态谱系(AI 编码智能体写代码、AI 训练 AI 之合成数据与蒸馏、AI 研究自动化、AI 自我改进与递归提升)、自主开发风险(能力获取、递归自我改进失控、目标错位、突然能力跃升)、开发门禁与边界治理(能力门槛、可逆性、监督红线)、合成数据与蒸馏的合规治理(质量验证、内容标识衔接、版权与训练数据溯源)、AI 产物验证(AI 生成代码/研究/模型的验证与红队衔接)、组织落地(AI 造 AI 工程治理、供应商评估、审计报告)。附零依赖本地工具一键判定形态、识别风险、生成治理检查清单与合成数据合规要点。面向 AI 工程、治理、安全与战略负责人,与 AI 治理/智能体治理/红队测试形成前沿延伸。
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.claude/skills/ai-building-ai-governanceRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/ai-building-ai-governanceRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/ai-building-ai-governanceRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @zhaoxinghua09-cell/ai-building-ai-governanceclawhub inspect @zhaoxinghua09-cell/ai-building-ai-governance --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:6d07ef1ffef423de48f7cde490e3dc2fb41f9631c55eab7f5536ce7dff1bc464ATTESTATION.mdLICENSE.mdmanifest.jsonreferences/01-AI造AI形态谱系.mdreferences/02-编码智能体治理.mdreferences/03-合成数据与蒸馏治理.mdreferences/04-AI研究自动化治理.mdreferences/05-自我改进与递归提升治理.mdreferences/06-AI造AI全链路治理框架.mdreferences/07-FAQ.mdSECURITY_AUDIT.mdskill-card.mdSKILL.mdtools/aibuild_toolkit.pyverify/ai_building_ai_quality_test.pyverify/gen_security_radar.pyverify/security_results.jsonverify/security-radar.svgv1.0.0: governance and safety playbook for AI building AI - form spectrum (coding agents, synthetic data and distillation, AI research automation, self-improvement and recursive enhancement), risks (capability acquisition, goal misalignment, sudden capability jumps, uncontrolled RSI), capability-cap model with tripwires and human gates, synthetic data and distillation compliance (quality, collapse prevention, API-term checks, content-labeling linkage), artifact verification for AI-generated code/research/models with red-team linkage, 90-day implementation route; 5-command zero-dependency toolkit