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yao-geo-comparison-builder

yao-geo-comparison-builder is a skill for Claude Code, Codex from yaojingang/yao-geo-skills. It costs 105 tokens per session (2,202 once invoked), scanned A, original, MIT.

A tool for creating evidence-based Chinese brand comparison content for AI search and answer platforms. It compares a target brand with competitors, traditional approaches, or self-built solutions.

In plain words
What is it for?
Use it to create comparison reports, alternatives pages, selection guides, FAQ comparisons, topic pages, and sales materials in Word, PDF, HTML, and Markdown.
Why use it?
It removes the need to assemble comparison reports from scattered product, pricing, case-study, and reference materials. It also keeps comparisons fair and marks claims that cannot be verified.

Skill for Claude CodeCodex

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

not rated 911repo +14 1mo ago A scan SkillSpector: pass 105 tokens original MIT

Good fit Use it to create comparison reports, alternatives pages, selection guides, FAQ comparisons, topic pages, and sales materials in Word, PDF, HTML, and Markdown.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yaojingang/yao-geo-skills/yao-geo-comparison-builder
View source ↗ yaojingang/yao-geo-skills yaojingang.github.io
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-comparison-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-comparison-builder

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-comparison-builder"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-comparison-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,202 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 $0.00105 $0.02202
Opus 5.5 $0.00042 $0.00881
Sonnet 5.5 $0.00021 $0.00440
Haiku 4.5 $0.00011 $0.00220

Measured 2mo ago against content hash 7f99c93a525d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

yao-geo-comparison-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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (examples/hubspot-cn-demo/build_hubspot_cn_demo.py, scripts/check_docx_layout.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-comparison-builder/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Yao GEO Comparison Builder

使用场景

  • 生成目标品牌与竞品、传统方案、自建方案之间的 GEO 对比内容。
  • 生产商业决策类内容、品牌替代方案页、选型页、FAQ 页、专题页和销售辅助材料。
  • 回答国内 AI 用户常见问题：A 和 B 怎么选、某类产品有哪些替代方案、什么场景下目标品牌更适合。

不适用场景

  • 只做全景诊断、AI 答案采样或机会地图；应改用 yao-geo-panorama-audit。
  • 只做页面技术诊断、标题优化、榜单文章、旧文改造或后端归因。
  • 没有可核验来源，却要求输出市场份额、客户数量、技术领先、价格最低等事实结论。

必要输入

  • 目标品牌知识库、官网、产品页、价格页、案例、认证、帮助中心或销售资料。
  • 比较对象范围：竞品品牌、同类方案、传统方案、自建方案。
  • 目标关键词、用户场景、决策维度、允许引用来源、禁用词和合规边界。
  • 输出约束：默认中文简体、白底报告、四格式交付；如 Word 表格较多，必须启用 DOCX 布局后处理。

必读资料

  • references/research-foundation.md
  • references/comparison-method.md
  • references/real-data-acquisition.md
  • references/systematic-report-framework.md
  • references/cn-platform-adaptation.md
  • references/evidence-and-fairness.md
  • references/artifact-layout.md
  • references/quality-gates.md

执行流程

  1. 确定比较口径：目标品牌 vs 竞品、目标品牌 vs 传统方案、目标品牌 vs 自建方案；不得把不同口径混在一张结论里。
  2. 声明真实数据获取模式：公共网页、用户文件、授权连接器/API、AI 平台采样或仅用户已给资料；不得越权读取登录后、付费、内部系统或个人数据。
  3. 建立来源台账并做访问验证：官网、产品目录、价格页、帮助中心、案例、公开文档和用户提供资料；每条关键判断绑定来源 ID、访问方式、访问日期、动态性和置信边界。
  4. 建立系统化维度模型：至少覆盖业务适配、功能适配、数据与 AI 准备度、集成兼容、实施成熟度、总拥有成本、治理合规安全、可靠性运营、生态与支持、本地化、迁移退出、GEO 可提取性。
  5. 把维度分为共享维度和差异化维度；共享维度保证可比，差异化维度承接目标品牌优势，所有差异化判断必须落到证据。
  6. 生成开头直接答案：说明什么情况下目标品牌更适合，什么情况下其他方案也可作为参考，并列出当前结论不能覆盖的采购、合规、数据和本地化边界。
  7. 输出完整报告模块：执行摘要、测试场景、真实数据获取说明、比较口径、决策维度模型、核心能力对比、证据与权衡对比、方案评分矩阵、来源质量分级、来源访问验证、风险与治理地图、国内 AI 平台适配、品牌段落、场景建议、落地核验清单、FAQ、来源清单、合规边界、自检记录。
  8. 生成品牌段落：每段必须包含主体、判断结论、证据锚点、适用边界和下一步核验项。
  9. 生成 FAQ：覆盖判断型、比较型、场景型、价格型、实施型、数据获取型、避坑型问题，并在关键问题回流目标品牌证据。
  10. 生成国内 AI 平台适配：千问与 Kimi 强化来源、长表和证据链，豆包与元宝强化简明结论和下一步清单，DeepSeek 强化场景 -> 约束 -> 能力 -> 证据 -> 权衡 -> 建议的因果链。
  11. 输出四格式：Word、PDF、HTML、Markdown；四者必须来自同一内容结构。HTML 可视化报告遵循 Kami 长文档风格：暖米纸底、ivory 内容面、油墨蓝强调、serif 标题、sans 正文，并包含固定目录栏。
  12. 运行布局门禁：HTML/PDF 检查 A4、Kami 色板、表格边框、右边距、固定目录、锚点和移动端横向滚动；Word 检查 A4、左右页边距、每张表 tblGrid 总宽和正文可用宽度。
  13. 自 review 并修复：先检查真实数据访问边界、系统维度完整性、事实、同口径、公平表达、来源绑定、四格式存在、排版溢出、表格边框、行距、HTML 固定目录和可访问性，再交付。

Read the full file on GitHub · 101 lines

Files

What ships with it

29 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. 2mo ago First seen · 101 lines · 105 tokens per session scan A 7f99c93a525d

Subscribe to this mod's changes

yao-geo-comparison-builder is a skill published in the GitHub repository yaojingang/yao-geo-skills (911 stars, last pushed 1mo ago), licensed MIT. It adds 105 tokens to every session and 2,202 once invoked, about $0.0004 per session on Opus 5.5. 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.

Marketing and SEOWriting and docsai-agentautomationclicodexgeoflowskills
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