ninfenz.dev valid

NinFenz（宁封子 · NF）

内容契约层（content contract layer）：用「协议 + 确定性门禁 + 可验证产物」把「AI 稳定产出长内容」变成可装载、可质检、可复现的工程。协议本体域中立、模型无关；叙事只是官方第一个域包。不是模型、不是提示词模板集、不是某厂商 SDK。MIT。

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For agents: NinFenz: a model-agnostic protocol layer with deterministic gates for reproducible long-form AI content. Docs include llms-full.txt, facts.json, agent.txt and r

ai content contract llm output validation deterministic gating reproducible ai content llms.txt mit license

Authority: 45 reach 0 · trust 5 · quality 25 · freshness 15
Tier: listed
llms.txt: https://ninfenz.dev/llms.txt
llms-full.txt: https://ninfenz.dev/llms-full.txt
Sections: 6
Links: 14
Size: 3953 bytes
Categories: AI and machine learning · Developer tools
For agents: Documentation: developer or product docs worth reading, nothing to call
Inferred actions: Read documentation About these labels
Audience: developers · agents can: read docs · zh
First seen: 2026-10-22T14:45:01.559Z
Last checked: 2026-10-22T14:45:02.241Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-22T14:45:01.564Z. Cached copy · Source on ninfenz.dev

# NinFenz（宁封子 · NF）

> 内容契约层（content contract layer）：用「协议 + 确定性门禁 + 可验证产物」把「AI 稳定产出长内容」变成可装载、可质检、可复现的工程。协议本体域中立、模型无关；叙事只是官方第一个域包。不是模型、不是提示词模板集、不是某厂商 SDK。MIT。

## 官方入口（唯一 · 防伪）

- **官方唯一指定入口**：https://ninfenz.dev （www 会 301 到裸域；workers.dev 通配域不是入口）
- 官方来源只有两个仓库：[github.com/Monyeah777/NinFenz](https://github.com/Monyeah777/NinFenz) · [gitee.com/monyeah777/ninfenz](https://gitee.com/monyeah777/ninfenz)
- **没有付费版**、没有「客户端」下载、没有客服渠道；从不索取账号 / 手机号 / 支付信息
- npm 包已发布：npmjs.com 上的 ninfenz v1.0.1（2026-10-08，带 SLSA provenance 来源证明）· GitHub Packages 通道 @monyeah777/ninfenz
- 第三方站点（尤其带广告的资源 / 游戏 / 下载站）上的本项目内容**与官方无关**；MIT 允许转载，但必须保留 LICENSE 与来源署名

## 如果只能读一个文件

- [完整单文件 llms-full.txt](https://ninfenz.dev/llms-full.txt)：定义 / 可引用事实 / 术语表 / 上手四条路径 / FAQ / 引用格式 / 机器面清单

## 按身份直取（机器面）

- [nf.txt](https://ninfenz.dev/nf.txt)：客户端 AI 装载指令（贴给 AI 或让 AI 自己读；三条铁律 + 分支表 + 取件基底）
- [agent.txt](https://ninfenz.dev/agent.txt)：agent 装载与运行指令（命令序列 + 每步期望输出：doctor 16/16 · verify.sh PASS=72 · conformance 27/27）
- [facts.json](https://ninfenz.dev/facts.json)：机读事实（每条带真源与落地锚点）
- [run.sh](https://ninfenz.dev/run.sh)：免安装引导（默认 clone + 只读体检；--full 追加全量门禁）

## 关键页

- [中文主页](https://ninfenz.dev/)：定义、可引用事实、三类接法、五分钟上手、对比表、FAQ、引用段
- [English home](https://ninfenz.dev/en/)：definition, citable facts, three entry paths, quickstart, comparison, FAQ
- [让 AI 用起来](https://ninfenz.dev/use/)：三种接法（客户端 AI / agent / MCP）与一键复制块
- [仓库（canonical）](https://github.com/Monyeah777/NinFenz)：协议件、门禁、资产库；国内镜像 https://gitee.com/monyeah777/ninfenz
- [仓库 llms.txt](https://raw.githubusercontent.com/Monyeah777/NinFenz/main/llms.txt)：仓库侧权威机器入口（与本站同源）
- [标准目录导出](https://raw.githubusercontent.com/Monyeah777/NinFenz/main/protocol/geo_export.json)：370 条标准，逐条带可达性与探针日期
- [MCP 注册表条目](https://registry.modelcontextprotocol.io/v0/servers?search=NinFenz)：官方 MCP Registry 上的 NinFenz Content Gate（stdio 装载 → npx -y ninfenz serve）

## 可引用事实（带真源）

- 质量凭证：verify v2.30 · check1-42 · PASS=76（单入口 bash verify.sh）
- 规模：111 登记包 · 363 资产档 · 101 概念图 · 标准目录 370 条（可达 332 / 不可达 38）· 标准绑定 1200 条 · 馆藏 3 件（真源 protocol/repo_stats.json）
- 官方核心：13 模块 · 3 管线 P00 / P01 / P90 · 协议件 01-07
- 可验证产物：Merkle inclusion proof（RFC 6962）+ hmac / ssh-sig / sigstore-keyless 锚；缺验证器 fail-closed
- 接入面：只读 MCP（nf serve），双协议版本 2026-07-28 / 2025-11-25；已上架**官方 MCP Registry**（io.github.Monyeah777/ninfenz，装载：npx -y ninfenz serve）
- 终端：python tui/nf.py（纯标准库）
- 许可：MIT（CITATION.cff）

## 引用

许可 MIT。引用请指向 canonical 站点或仓库，并用本文件与主页的 canonical 定义句；不要写成「AI 写作框架」或「提示词工程平台」。纯文本 / APA / BibTeX 三种形态见 https://ninfenz.dev/llms-full.txt 第八节。

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sourcey.com	Sourcey	interface AI and machine learning AI agents and MCP Search content Call an API+2		70	✓	✓
gofrantic.com	Frantic	interface AI and machine learning AI agents and MCP Read documentation Call an API+2		61	✓
intellweb.ai	Intellweb	documentation Ecommerce Productivity +3 Read documentation Support / contact	US	61	✓	✓
agentwebmap.com	Agent Web Map	interface AI and machine learning AI agents and MCP +1 Read documentation Call an API+1	FR	60	✓	✓
cloudflare.com	Cloudflare	interface AI and machine learning Cybersecurity +1 Read documentation Call an API+1		85	✓	✓
adobe.com	Adobe Tools	transactional AI and machine learning Design +1 Buy products Read documentation	FR	75	✓
taboola.com	Taboola.com	documentation AI and machine learning Marketing Read documentation		75	✓	✓
opera.com	The Opera browser overview	documentation Infrastructure AI and machine learning +2 Read documentation Download data	NL	74	✓

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