yao-geo-intent-miner

yao-geo-intent-miner is a skill for Claude Code, Codex from yaojingang/yao-geo-skills. It costs 71 tokens per session (1,075 once invoked), scanned A, original, MIT.

A tool for expanding a few starting terms into natural-language questions people may ask AI search systems. It groups related questions, follow-up questions, rewritten queries, FAQs, content topics, and monitoring prompts.

In plain words
What is it for?
It helps plan articles, FAQs, knowledge-base entries, monitoring prompts, and content work for different audiences, regions, scenarios, and decision stages. It can also score questions and map them to business assets.
Why use it?
Short keyword lists miss the context, constraints, and follow-up reasoning used in real conversations. This creates a structured question base while marking facts, data gaps, evidence needs, and assumptions.

Skill for Claude CodeCodex

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

Good fit It helps plan articles, FAQs, knowledge-base entries, monitoring prompts, and content work for different audiences, regions, scenarios, and decision stages. It can also score questions and map them to business assets.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-intent-miner"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-intent-miner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,075 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 $0.00071 $0.01075
Opus 5 $0.00036 $0.00537
Sonnet 5 $0.00014 $0.00215
Haiku 4.5 $0.00007 $0.00108

Measured 12d ago against content hash e8e4370ad045, 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-intent-miner 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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/check_report_layout.py, scripts/render_intent_miner_report.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-intent-miner/SKILL.md · 59 lines

What it actually says

Yao GEO Intent Miner

使用场景

  • 把种子词、品牌、产品、竞品、区域、人群和业务材料扩展成 AI 搜索问题集。
  • 先于内容生产建立问题底座,输出意图簇、追问链路、查询重写、内容选题、FAQ、知识库和监测 Prompt。
  • 面向 DeepSeek、豆包、千问、Kimi、元宝适配国内 AI 平台的口语、多轮、场景和复杂决策问法。

必读资料

  • references/research-foundation.md
  • references/intent-mining-method.md
  • references/cn-platform-adaptation.md
  • references/scoring-and-mapping.md
  • references/real-data-ingestion.md
  • references/report-module-contract.md
  • references/four-format-output.md
  • references/quality-gates.md

执行流程

  1. 归一化输入对象:主对象、品牌、产品线、行业、竞品、区域、人群、预算、场景、痛点、资质、规模、时效和材料来源。
  2. 判断真实数据模式:未接入 / 用户提供 / 工具或连接器导入 / 已采样校准。没有真实数据时,必须输出数据缺口和采样计划,不能伪造真实平台回答、搜索量或转化数据。
  3. 做事实与证据校准:品牌、产品、价格、合规、竞品和行业事实必须标注来源状态,未校准信息只能作为假设或待确认项。
  4. 建立双层意图:先映射到信息、导航/验证、交易/行动任务层,再扩展为九类 GEO 操作意图。
  5. 按角色、场景、决策阶段、约束条件、证据需求和内容资产用途生成完整自然语言问题,不能只堆短关键词。
  6. 输出五段式重写:口语问法、独立重写、检索短语、证据查询、标题输入。
  7. 保留多轮追问链路:root_question_id / parent_question_id / standalone_rewrite / context_dependency / platform_fit
  8. 聚类去重,按问题目标、用户角色、约束条件、资产用途和合规等级合并同义问题。
  9. 十维评分:商业价值、AI 答案触发概率、内容缺口、品牌植入空间、证据可得性、竞争难度、对话延展价值、决策阶段价值、平台覆盖度、合规风险。若有真实数据,按搜索量、AI 采样、客服/销售频次和转化信号校准分数。
  10. 映射资产:文章、页面模块、FAQ、知识库条目、监测 Prompt、标题生成输入包、证据补采任务和 30/60/90 天落地路线。
  11. 报告正文必须覆盖 references/report-module-contract.md 的系统模块;允许按项目删减,但删减原因要写入质检说明。
  12. 输出 Word/PDF/HTML/Markdown 时必须遵守 references/four-format-output.md。HTML 使用 kami 长文档排版语言:暖纸底、油墨蓝、暖灰边框、serif 标题、sticky 菜单;Word 宽表必须横向 A4、固定表格布局、表格总宽不超过页面可用宽度;PDF 默认横向 A4,宽表自动换行且不向右溢出。
  13. 自 review:检查四个报告是否存在、格式是否有效、内容是否一致、HTML/Word/PDF 是否符合 kami 版式且表格不溢出。

输出契约

  • AI 搜索问题集与意图地图。
  • 问题聚类、追问链路和查询重写清单。
  • 评分矩阵与优先级排序。
  • 内容选题、FAQ 题库、知识库条目建议。
  • 监测 Prompt 库。
  • 证据缺口、合规边界和落地路线。
  • 真实数据接入状态、AI 平台采样计划、数据校准动作。
  • 默认四件套:Markdown、HTML、Word、PDF。
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. 12d ago First seen · 59 lines · 71 tokens per session scan A e8e4370ad045

Subscribe to this mod's changes

yao-geo-intent-miner is a skill published in the GitHub repository yaojingang/yao-geo-skills (742 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 1,075 once invoked, about $0.0004 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.