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chenhz01/README.md
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chenhz01

AI Agent 治理 × Skill 工程 做「把可审计质量推成 AI Agent 行业标准」的第一人。

AI Agent Governance Skill Engineering Zero Dependency arXiv-aligned Open to collaborate Email


恐惧失控是猜测;没有审计轨迹是事实。 我不卖安全感。我造的是让自进化 AI「可证明没跑偏」的机械门禁——证据不可篡改,标准公开可采用。

📏 我正在推动的行业质量标准(公开 · 可采用)

别的个人主页列项目,这里列标准。以下门禁全部开源、零依赖、可直接接入你的 Agent 工程:

# 标准门禁 一句话 采用入口
G1–G6 进化硬性拒绝护栏 自进化 AI 的六道审计关卡,跑偏即拒绝 EEL
P1–P5 发布突破五流程 从设计到真实验证 100% 覆盖的发表纪律 ai-agent-skill-breakthrough
D1–D5 研究对抗审计 覆盖率算术、分簇加总、引用完整性——抓"没在撒谎却在撒谎" adversarial-research-audit
M-Boot 记忆开机体检 抓约定静默丢失与注入稀释 agent-memory-doctor

🎯 把你的 Agent 项目接入以上任一门禁,开 Issue 标注 adoption——你就是我推动行业质量的一部分。

🛡️ 治理与审计 — 旗舰项目

项目 一句话
⭐ EEL 进化证据账本:为自进化 AI 造不可篡改的进化账本(6 篇 arXiv 论文 → G1–G6 硬性拒绝护栏)· 求合作
agency AI 智能体的纪律操作系统:对抗审计、发布门禁、37 身份对攻锻造、防篡改演化账本
adversarial-research-audit 机械门禁审计研究报告:覆盖率算术、分簇加总、引用完整性 · 零依赖
agent-memory-doctor AI 记忆与约定文件的开机体检:抓沉默的约定丢失与注入稀释 · 零依赖

🧩 Skill 工程 — 让 skill 库从"收藏夹"变成"生产力"

项目 一句话
skill-audit-kit skill 库健康检查:引用图谱、孤儿检测、冲突、语义近重复 · 零依赖 CLI · JSON+HTML 报告
answer-contract 四条规则止住 AI 注水:隐性需求补齐 / 结构化输出 / 三方案对比 / 假设熔断 · 单文件
zhengming-openai-plugins SKILL.md → OpenAI Codex 插件包转换器 · 纯标准库 · 强制官方 manifest 约束
ai-agent-skill-breakthrough 学→超→破→用:把开源 agent skill 集合真正用起来的方法论

📐 方法论与工程实践

ai-native-process-engine(AI 原生流程引擎 · 七层架构 + L0-L3 自治分级)· fork-to-mainrepo-playbook(衍生项目独立化方案)· trending-scout(Trending 对抗性审核)· PartnerGene(基因中心型 AI 商务建联)


🤝 正在寻找的合作

  • 谁:做 agent 平台 / skill 生态 / AI 治理的团队与独立开发者
  • 三种合作形态:
    1. 集成——审计引擎接入你的平台(EEL / adversarial-research-audit)
    2. 诊断——skill 库健康体检 + 修复路线(skill-audit-kit)
    3. 定制——SKILL.md→Codex 转换与 L3 配方层深度交付
  • 怎么找:邮件 shanlun2029@outlook.com,或直接在对应仓库开 Issue(adoption / collab)

🎵 另一面:音乐人

用 AI 写歌、推歌、做封面——人定方向与品味,AI 放大执行。AI 是我的创作伙伴,不是替代者。


「进化是证据,证据不可篡改。」

如果你也在做 Agent 治理或 skill 生态——我们大概率该认识。 ⭐ Star 一个项目 · 📮 发封邮件

🌐 English

AI Agent Governance × Skill Engineering. The first person pushing auditable quality as the industry standard for AI Agents.

  • I build mechanical gates that let self-evolving AI prove it didn't drift — G1–G6 evolution guardrails, adversarial research audits, boot-time memory integrity checks.
  • I turn agent skill collections into production pipelines: health checks, contract rules, SKILL.md→Codex converters. All zero-dependency, all open source.
  • Adopt any gate in your project — open an Issue tagged adoption and become part of the standard.

Looking for: agent platform / skill ecosystem / AI governance teams. → shanlun2029@outlook.com

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  1. adversarial-research-audit adversarial-research-audit Public

    Adversarial audit layer for agentic research: mechanical gates that catch reports which lie without lying — coverage arithmetic, cluster sums, filter provenance, citation integrity. Zero-dependency…

    Python 3 1

  2. agent-memory-doctor agent-memory-doctor Public

    Boot-time integrity check for AI agent memory & convention files — catch silent convention loss, injection dilution, broken rollback anchors. Zero dependencies, Python 3.8+.

    Python 3

  3. EEL EEL Public

    EEL — Evolution Evidence Ledger:为自进化 AI 造不可篡改的进化账本(求合作脱敏版)

    1

  4. zhengming-openai-plugins zhengming-openai-plugins Public

    Convert Agent Skills (SKILL.md) format to OpenAI Codex plugin bundles — stdlib-only, enforces official manifest hard constraints

    Python 1

  5. answer-contract answer-contract Public

    Four rules that stop your AI agent from padding, rambling, and shipping one mediocre answer: Implicit-Need Fill, Structured Output, 3-Option-Plus-Premium, Assumption-Circuit-Breaker. A single-file …

  6. skill-audit-kit skill-audit-kit Public archive

    Health check for an existing skill/rule library: reference graph, orphans, hubs, conflicts, and zero-dependency semantic near-duplicate detection. Offline CLI with JSON + HTML reports.

    JavaScript