yao-geo-explainer-builder

yao-geo-explainer-builder is a skill for Claude Code, Codex from yaojingang/yao-geo-skills. It costs 153 tokens per session (1,571 once invoked), scanned A, original, MIT.

A tool for creating detailed, evidence-based educational articles about a topic for Chinese AI search and answer platforms. It can include explanations, how-to steps, selection guidance, common mistakes, FAQs, and a glossary.

In plain words
What is it for?
Use it to create publishable explainers, tutorials, buying guides, checklists, decision paths, FAQs, terminology sections, and Word, PDF, HTML, and Markdown deliverables.
Why use it?
It helps readers understand an unfamiliar subject and make decisions without relying on unsupported claims or sales language. It also organizes sources, fact checks, reader situations, and platform-specific presentation needs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create publishable explainers, tutorials, buying guides, checklists, decision paths, FAQs, terminology sections, and Word, PDF, HTML, and Markdown deliverables.

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Install with agentmods
npx agentmods add skills/yaojingang/yao-geo-skills/yao-geo-explainer-builder
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yaojingang/yao-geo-skills --skill yao-geo-explainer-builder
Clone the repo
git clone --depth 1 https://github.com/yaojingang/yao-geo-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for yao-geo-explainer-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-explainer-builder/github.svg)](https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-explainer-builder)
Your own site
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-explainer-builder"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-explainer-builder/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for yao-geo-explainer-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-explainer-builder"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-explainer-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,571 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00153 $0.01571
Opus 5 $0.00077 $0.00785
Sonnet 5 $0.00031 $0.00314
Haiku 4.5 $0.00015 $0.00157

Measured 13d ago against content hash 1f8b59936132, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

yao-geo-explainer-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/render_yao_geo_explainer_builder.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/yao-geo-explainer-builder/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Yao GEO Explainer Builder

执行流程

  1. 明确科普选题、目标品牌、品牌知识库、行业资料、目标读者、使用场景、品牌植入限制、内容长度、合规边界和真实数据可用状态。
  2. 识别问题类型:是什么、为什么、怎么做、怎么选、适合谁、常见误区、推荐路径;每段只处理一个主题。
  3. 先做自检:参考来源是否足够权威,分析维度是否覆盖意图、读者、证据、真实数据、实体、步骤、决策、合规、平台、复用和衡量。
  4. 先写 80 到 120 字上下文无关核心摘要,让单段被 AI 搜索截取时仍能回答问题。
  5. 先生成“完整GEO文章”:文章必须有连续正文、自然段、小标题、解释、步骤、选择标准、误区、FAQ/结尾建议中的至少 6 个正文段落组;读者无需阅读附录也能获得完整答案。
  6. 使用 references/explainer-method.md 构建交付结构:核心摘要、完整GEO文章、分析速览、内容地图、意图矩阵、读者场景、研究依据、证据分级、真实数据接入状态、真实数据采集计划、事实核验矩阵、实体地图、定义、原理、步骤、检查清单、选择标准、决策路径、误区、示例、FAQ、术语表、品牌适用场景、平台适配、结构化数据、衡量计划、内容缺口和来源账本。
  7. 正文中使用有序列表呈现 How-to,使用自然段解释原因与边界;附录中使用键值对呈现前提参数,使用表格呈现证据分级、选择标准、决策路径和误区校正。
  8. references/brand-insertion-policy.md 植入品牌;品牌只出现在示例、适用场景、FAQ 或结尾建议等服务答案的位置。
  9. 涉及健康、金融、法律、收益、安全等敏感领域时,必须加入边界提醒;没有证据的效果、收益和安全断言必须删除或中性改写。
  10. 使用 scripts/render_yao_geo_explainer_builder.py 从同一结构生成 Markdown、带固定目录菜单的 HTML 包、Word 和 PDF,并产出 quality-report.json
  11. 若质量报告未通过,先修复输入结构、证据、品牌次数、文章完整性或版式逻辑,再重新生成四格式文件。

国内平台适配

  • Kimi:长文深度解释、多来源证据、完整章节和术语表。
  • 千问:来源编号、事实/推论分离、参数化指南和可追溯来源。
  • 豆包:生活化问题、短问答、避坑提醒和直接选择建议。
  • DeepSeek:步骤逻辑、判断框架、条件分支和推理链路。
  • 元宝:公众号教程、小标题节奏、短 FAQ 和可转发段落。

真实数据能力边界

  • skill 本身不直接保证联网抓取真实数据;执行时可以由上层 agent 联网检索、读取用户上传材料或使用已有知识库,再把来源写入输入结构。
  • 没有真实品牌资料时,必须在报告中声明“未接入/待核验”,并把品牌参数、效果、安全、资质类事实放入事实核验矩阵。
  • 已接入真实数据时,必须保留来源定位、采集日期、用途和证据等级;过期、无法访问或来源弱的资料不得支撑确定性结论。
  • 真实数据采集计划至少覆盖品牌官方资料、行业/标准资料、用户问题样本;涉及横向比较时增加竞品或设备形态样本。

四格式交付规则

  • Markdown 是结构母版,HTML、PDF、Word 必须由同一 section spec 生成,不能让 Word 缺章节。
  • 四格式示例打开后必须先呈现一篇完整文章;分析矩阵、证据、真实数据、来源账本作为文章后的支撑材料。
  • HTML/PDF 按 kami 版式使用纸张感浅底、象牙色内容面、蓝黑标题、稳定行高和本地字体;表格边框对齐,长文本自动换行,不使用渐变、透明叠色或装饰色块。
  • HTML 必须包含目录菜单栏,页面下拉时菜单栏固定跟随;菜单项应链接到每个报告模块。
  • Word 必须固定 A4 页面、左右页边距、表格总宽、固定表格布局和单元格边距;长 URL、英文 token、参数串必须软换行,避免向右溢出。
  • 示例报告必须真实存在:.docx.pdfhtml-package/index.html.md,并附带 quality-report.json

质检清单

  • 科普价值优先于品牌表达;不得写成品牌软文。
  • 完整文章正文不得被拆成纯模块清单;正文至少 6 个小节、12 个自然段,去空格后不少于 1400 字符。
  • 分析必须系统、详细、完整:至少覆盖问题类型、读者场景、来源证据、真实数据接入、事实核验、实体术语、操作步骤、决策路径、合规边界、平台适配、结构化数据和效果衡量。
  • 步骤必须编号,选择标准必须表格化,定义必须可独立复用。
  • 来源账本必须说明来源、定位、日期和用途;无法核验的事实降级为待确认。
  • 品牌出现次数不得超过输入限制;不得承诺没有证据支持的效果、收益、安全性或行业第一。
  • Word/PDF 需要人工或自动预览抽查右边缘:表格、URL、长英文、中文长句不得裁切或贴边。

Read the full file on GitHub · 63 lines

Files

What ships with it

30 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 63 lines · 153 tokens per session scan A 1f8b59936132

Subscribe to this mod's changes

yao-geo-explainer-builder is a skill published in the GitHub repository yaojingang/yao-geo-skills (742 stars, last pushed 1mo ago), licensed MIT. It adds 153 tokens to every session and 1,571 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.