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yao-geo-content-refiner

yao-geo-content-refiner is a skill for Claude Code, Codex from yaojingang/yao-geo-skills. It costs 117 tokens per session (1,135 once invoked), scanned A, original, MIT.

A tool for improving an existing article, product page, white paper, or public-account post so AI systems can understand, check, and quote it more easily. GEO means making content easier for generative AI search and answer tools to use.

In plain words
What is it for?
Use it to score and rewrite existing content, add FAQs and structured sections, extract fact cards, plan source checks, and produce Word, PDF, HTML, and Markdown reports.
Why use it?
It identifies weak structure, missing evidence, unclear facts, and unanswered questions without inventing unsupported claims. It turns the review into a revised article and publishing-ready materials.

Skill for Claude CodeCodex

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

not rated 910repo +15 29d ago A scan SkillSpector: pass 117 tokens original MIT

Good fit Use it to score and rewrite existing content, add FAQs and structured sections, extract fact cards, plan source checks, and produce Word, PDF, HTML, and Markdown reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yaojingang/yao-geo-skills/yao-geo-content-refiner
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-content-refiner
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-content-refiner

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-content-refiner"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-content-refiner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,135 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 $0.00117 $0.01135
Opus 5.5 $0.00047 $0.00454
Sonnet 5.5 $0.00023 $0.00227
Haiku 4.5 $0.00012 $0.00113

Measured 2mo ago against content hash cf2457acbaf4, 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-content-refiner 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 1 executable file (scripts/render_content_refiner_bundle.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-content-refiner/SKILL.md · 81 lines

What it actually says

Yao GEO Content Refiner

使用场景

  • 将已有文章、产品页、公众号稿、白皮书章节或 SEO 页面改造成 AI 更容易理解、抽取、引用和推荐的内容。
  • 需要提升结构化、可信度、FAQ 覆盖、原子事实密度、语义信息密度和跨平台可引用性。
  • 面向 DeepSeek、豆包、千问、Kimi、腾讯元宝和微信生态输出中文简体交付物。

必要输入

  • 原始文章全文、目标品牌、目标问题或关键词、目标平台和目标读者。
  • 品牌知识库、官网资料、产品资料、客户案例、报告、资质、已授权引用来源。
  • 是否保留原文风格、是否允许新增 FAQ、是否允许新增表格、是否允许新增来源。
  • 是否允许联网核验、是否有内部知识库/API/表格/CRM/BI 权限、哪些数据禁止访问或禁止写入报告。

不适用场景

  • 从零写新文章、只做标题优化、全站 GEO 诊断、页面技术审计或后端归因方案。
  • 没有原文和来源，却要求补充具体数据、价格、客户案例、资质或效果承诺。
  • 未授权访问登录后台、付费数据库、私有 API、客户隐私数据或内部系统。

必读资料

  • references/content-refinement-method.md
  • references/data-access-and-verification.md
  • references/evidence-and-fact-rules.md
  • references/platform-adaptation.md
  • references/research-backed-framework.md
  • references/artifact-layout.md
  • references/quality-gates.md

执行流程

  1. 界定改造边界，确认可用来源和禁止扩写事实。
  2. 先做分析完整性检查：输入边界、来源分层、主问题、追问、评分、事实、证据、结构、语义、平台、发布和自 Review。
  3. 做真实数据获取与核验计划：区分公开网页、用户提供资料、授权连接器/API、内部系统和无法访问项，记录权限、时间、新鲜度和失败处理。
  4. 按 8 个 GEO 维度做原文评分：语义密度、结构规范性、可引用性、权威信号、可读性、鲁棒性、新颖性、跨域贡献。
  5. 提取原子事实卡：主体、属性、数值、时间、来源、适用边界、核验状态、可引用句。
  6. 补结构：直接回答、摘要、H2/H3、表格、FAQ、有序步骤和来源列表。
  7. 补证据、证据强度、语义实体、平台适配矩阵、发布追踪建议，删除注水、不可核验强断言和过度营销句。
  8. 输出四格式报告，并按 references/artifact-layout.md 与 references/quality-gates.md 自检。

版式硬规则

  • Word/PDF 不允许把宽表强行塞入页面。超过 4 列的表格必须在 Word/PDF 中转成纵向事实卡。
  • Word 表格必须使用固定页面宽度和显式列宽，不依赖自动列宽。
  • Word 表格总宽必须小于页面可用宽度；生成后必须检查 tblGrid 宽度。
  • PDF 必须渲染成 PNG 检查右侧留白，不得贴边或裁切。
  • HTML 可以保留宽表，但必须有横向滚动和长文本换行。
  • HTML 必须带顶部 sticky 菜单栏，页面下拉时固定跟随，菜单锚点覆盖主要报告模块。

输出契约

  • GEO 改造版文章。
  • 分析完整性总览。
  • 真实数据获取与核验计划。
  • 原文 GEO 评分表。
  • 改造前后差异报告。
  • 原子事实卡。
  • FAQ 与同义问法。
  • 语义与实体地图。
  • 平台适配矩阵。
  • 理论依据与改造映射。
  • 证据强度与缺口。
  • 页面发布版 HTML 建议。
  • 发布与追踪建议。
  • Word、PDF、HTML、Markdown 四格式报告。
Files

What ships with it

27 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 · 81 lines · 117 tokens per session scan A cf2457acbaf4

Subscribe to this mod's changes

yao-geo-content-refiner is a skill published in the GitHub repository yaojingang/yao-geo-skills (910 stars, last pushed 29d ago), licensed MIT. It adds 117 tokens to every session and 1,135 once invoked, about $0.0005 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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