Blog 3p Human Handoff logo

Blog 3p Human Handoff

Organization
flaqai
blog-3p-human-handoff

编译/校验博客 3P 统一可视化富文本载荷,生成 WQ 作者自查或 WR 独立审稿后由 G 验收的人工发布交接包及公开页回传证据;不操作平台编辑器。

Overview

Publisherflaqai
Repositorybacklink_skills
Skill nameblog-3p-human-handoff
Stars
760
Forks
237
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by flaqai on GitHub. Read the source before you install it.

Installation

Install the Blog 3p Human Handoff AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/flaqai/backlink_skills/tree/main/blog-3p-skill-matrix/skills/blog-3p-human-handoff
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/flaqai/backlink_skills.git /tmp/backlink_skills
mkdir -p .claude/skills
cp -r /tmp/backlink_skills/blog-3p-skill-matrix/skills/blog-3p-human-handoff .claude/skills/blog-3p-human-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Blog 3p Human Handoff in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Blog 3p Human Handoff on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Blog 3p Human Handoff is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

博客 3P:人工发布交接包

先阅读术语约定。W 在 WQ 最终作者自查或 WR 独立 FULL_REVIEW 前编译浏览器可打开、人工可直接选择标题和正文的可视化富文本交付页;G 将文章置为 human_release_ready 后,本技能只使用已核验的字节一致载荷生成派生清单和回传证据。它不登录平台、不输入编辑器、不上传图片、不保存草稿、不发布、不删除或回滚。

唯一交接面

article-package.json@1.5 是冻结声明与上游唯一来源的连接点:canonical/article.html、metadata、evidence pack 和视觉清单。它不反向引用派生的 handoff manifest,也不手工重复 SEO 字段、链接或图片清单。编译器只读 package 声明且哈希相符的来源。BLOG_3P_VISUAL_PAYLOAD@3 包括 handoff/visual-payload.html(供富文本复制及适用 WQ/WR 语义核验)和对应的 handoff/visual-payload.md(可读/追溯备用稿)。不得手写、二次编辑任一交付页、页面壳、CSS、JavaScript、按钮、卡片或操作顺序;1.4 仅作历史兼容。

交付页固定自上而下显示:博客标题、在准确位置带中文图片注释的正文、SEO 标题、标签、描述。没有复制按钮、剪贴板脚本或平台专属控件。SEPARATE_TITLE_FIELD 表示人工分开复制标题和正文;TITLE_IN_BODY 用于没有独立标题字段的平台。旧 BODY_H1_REQUIRED 仅作为兼容输入别名,归一化为 TITLE_IN_BODY。本地 <h1>/<h2>/<h3> 标记只是写作和富文本选择辅助,绝不证明目标平台最终标题层级。

每张图在唯一基准稿正文的准确位置使用独立 <!-- BLOG_3P_IMAGE:NN --> 标记,不用聚合图槽。编译器只在原位渲染编号中文注释,HTML/Markdown 图卡一一对应。视觉清单按顺序记录 ordinal、coverage_zone、placement_anchor、本地化 Alt 和图注;锚点须在标记前可见。素材真实存在、哈希匹配、编号为 01-lead-<slug>.png、02-middle-<slug>.jpg 等,只接受 PNG/JPG/JPEG。空 Alt、缺/重/乱序标记、格式/命名/哈希错误必须编译失败。唯一基准稿不含脚本、样式、布局、自定义控件或 <img>;保留真实链接。validate_payload.py 重新渲染并核对双载荷、图卡、锚点与 CTA;仅当输出 COMPANION_DUAL_READ_REQUIRED,适用 WQ 或 WR 质量角色才额外语义读 Markdown。

每篇交接目录位于 articles/<article_id>/handoff/,应包含 RELEASE-CARD.md、内容指纹、本地预检、两份交付页和 handoff/handoff-manifest.json。该文章的其余交付物保持在同一 articles/<article_id>/{context,research,canonical,reviews,handoff} 根内;不得与另一篇混放。后者单向索引唯一基准稿、metadata、证据包、视觉清单、HTML/Markdown 交付页、审稿索引和需求追溯哈希;发布卡仅是人工提示,不是第二份文章、SEO 文档或证据源。

平台传输预检与已观察限制

在生成 RELEASE-CARD.md 前,先读取 平台发布观察 中与该平台/账号相同的行;它是提问清单,不是平台选择、账号授权或发布成功的证据。每条观察都必须保留平台、账号/站点、文章、日期和观察面。不得把一个账号的编辑器或读者页现象推广到该平台其他账号,也不得从公开可见性反推编辑器传输能力。

若人工需要插入正文图片,交接正文默认使用编译器在真实 <!-- BLOG_3P_IMAGE:NN --> 标记处生成的可删除图卡;图卡必须紧邻稳定的正文锚点。不得仅交付 LEAD/MIDDLE/CLOSING 的独立图片列表并让发布者自行猜测位置。原生独立标题字段只接收冻结标题的纯文本,不带 Markdown #;仅 TITLE_IN_BODY 路线才将标题放入正文。把已验证的正文图、仅封面图和未知图片传输分别记录,不能以富文本粘贴成功代替读者页图片验证。

编译与适用质量凭据

正文、metadata、链接、来源、读者价值承诺、冻结 CTA 和最终 visual manifest 稳定后编译。WQ 的同一 W 在候选稿锁定后对本篇 evidence pack、实际引用共享记录、唯一基准稿、metadata、最终图片、视觉清单和 HTML 主交付页作对抗式自查:图文邻接、独立作用、覆盖区、Alt/图注、素材格式/命名、CTA 保真及模板一致性均应纳入;定向修复后在短回执绑定最终文件哈希,结果只可为 AUTHOR_QA_READY,不可称独立批准。WR 由独立 R 一次 FULL_REVIEW 覆盖同样质量面。Markdown 同源性由验证器负责,COMPANION_DUAL_READ_REQUIRED 才要求适用角色语义双读。两路线都必须绑定 evidence pack、基准稿、metadata、visual manifest、HTML/Markdown payload 与 package 的当前哈希。

WQ 最终绑定后若视觉资产、正文、metadata、链接、来源、CTA、payload 或 package 改变,W 重新锁候选、对抗式自查并换新 AUTHOR_QA_READY 回执,或记录触发 ID 单向升级 WR;WQ 不做 R-Δ。WR 完整批准后的局部改动才可由同一 R 对变更及直接依赖作 R_DELTA,纯视觉可用 R_VISUAL_DELTA,不清晰风险则完整 R。质量凭据之后,交接清单只能复用字节一致的双载荷;重渲染若变化须在覆盖前失败,并让 W 从对应路线重新核验。G 核验交接清单哈希、REQ-* 和适用质量凭据:WQ 的可见作者回执或 WR 的独立 R 批准及适用研究审/Delta;不替质量角色审图片与编辑效果。机器校验不证明平台标题层级。

人工发布后的轻量回传

人工在平台完成操作后,将 templates/public-return-receipt.json 复制为 handoff/public-return-receipt.json,记录公开 URL、精确 HUMAN_ACCEPTED 或 HUMAN_NEEDS_FIX、回传时间、已知版本/时间或 UNVERIFIED、渲染证据路径和已知限制。限制必须明确平台、账号/站点、编辑器/主题、地区/市场、观察日期、证据、受影响契约项,并设 not_generalizable: true。

同一已登记的项目统筹 G 在 PUBLIC_QA_BATCH_READONLY 中使用回执和规范化快照写一份批量报告。每篇有独立条目、回执/快照哈希、渲染视觉证据、尝试次数与 unverified_retry_count,独立分类为 PUBLIC_QA_PASSED、PUBLIC_QA_PASSED_WITH_LIMITATION、HUMAN_TRANSPORT_FIX_REQUIRED、PUBLIC_QA_UNVERIFIED 或 CANONICAL_CHANGE_REQUESTED。平台传输修复交人工,回同一 G 下一批只读复核;只有带用户请求 ID 的 canonical 变更才能按该文适用的 WQ/WR 路线重开。

HUMAN_ACCEPTED 后,标题层级仅凭公开读者页的渲染视觉判断。提供足以辨别页面标题、章节、子章节、顺序和扁平化/重复问题的视觉证据;编辑器 HTML/DOM、公开源码、Feed 与 JSON 快照均不能覆盖该结论。证据不足是 PUBLIC_QA_UNVERIFIED,可见层级问题使用稳定 PUBLIC-VISUAL-HIERARCHY-NNN 并交由人工修复决定。

机器字段、HTML 模板签名、Alt: 标记、路径与状态码保持不变。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Blog 3p Human Handoff AI skill do?

编译/校验博客 3P 统一可视化富文本载荷,生成 WQ 作者自查或 WR 独立审稿后由 G 验收的人工发布交接包及公开页回传证据;不操作平台编辑器。

Why use Blog 3p Human Handoff on TypingMind?

Because you install it once and use it with any model. Blog 3p Human Handoff is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Blog 3p Human Handoff in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/flaqai/backlink_skills/tree/main/blog-3p-skill-matrix/skills/blog-3p-human-handoff. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Blog 3p Human Handoff?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Blog 3p Human Handoff?

As many as you like. As long as a model supports skills, you can use Blog 3p Human Handoff with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Blog 3p Human Handoff AI skill free?

Yes. It is published on GitHub by flaqai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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