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liangdabiao/GEO-Content-Optimizer-Skill

GEO（Generative Engine Optimization）是面向 AI 搜索引擎的内容优化方法论。就像 SEO 优化 Google 排名，GEO 优化你的内容在 ChatGPT、Perplexity、Gemini、Google AI Overview 等 AI 引擎中的引用率。本项目提供3个 Agent Skill，覆盖 GEO 全流程：

Marketing Writing

History

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View on GitHub Add to my skills

Verified commit f56124f0583a7c5e9642637f2cc1034811860caf

236GitHub stars

7stars in 7 days

3skills in this repository

0commits in 30 days

Heat

5.5

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Individual skills in this repository

geo-content-optimizer skills/geo-content-optimizer
geo-optimizer skills/geo-optimizer
geo skills/geolook

How it works

Choose a skill

geo-content-optimizer

When your agent uses it

AI 驱动的网页内容优化分析工具。输入 URL，自动抓取页面标题，通过 Google 搜索进行查询扩展，获取 Google AI 概览，对比有机搜索覆盖与 AI 生成概览，生成中文优化建议报告。当用户说"优化这个页面"、"分析这个网址"、"GEO 分析"、"内容优化"、"geo分析"或提供 URL 并要求内容改进建议时触发。

What it loads into context

Frontmatter

188 tokens

Always available to the agent

SKILL.md

1,556 tokens

When the skill is activated

Reference documents

378 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Input
Phase 0: Output Directory Setup
Phase 1: Scrape Page Title
Phase 2: Query Fan-Out Research
Phase 3: Main Query Extraction
Phase 4: Google AI Overview Retrieval
Phase 5: Query Fan-Out Summarization
Phase 6: Comparison & Optimization Report
Important Notes

Files

README.mddoc1,428 bytes
SKILL.mdcore6,375 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

geo-optimizer

When your agent uses it

GEO (Generative Engine Optimization) 全流程优化工具。帮助品牌内容被 ChatGPT、Perplexity、Gemini 等 AI 搜索引擎引用。包含 5 大模块：结构化数据生成 (JSON-LD Schema)、内容 AI 可读性检测、内容集群架构规划、AI 可见度监控与季度报告、内容差距分析。当用户提到 "GEO"、"AI搜索优化"、"AI 引用优化"、"Schema 标记"、"JSON-LD"、"FAQ Schema"、"E-E-A-T"、 "内容被 AI 抓取"、"Pillar Page"、"内容集群"、"AI 可见度"、"Generative Engine Optimization" 时触发。也适用于用户要求："帮我生成 Schema"、"检测内容 AI 友好度"、"优化让 AI 引用我的内容"、"测试品牌在 AI 搜索中的曝光"。

What it loads into context

Frontmatter

222 tokens

Always available to the agent

SKILL.md

2,049 tokens

When the skill is activated

Reference documents

5,117 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

工作流决策树
首次完整 GEO 设置流程
模块 A：结构化数据生成
模块 B：内容 AI 可读性检测
模块 C：Pillar Page 集群规划
模块 D：可见度测试与报告
模块 E：内容差距分析
30 分钟快速落地清单
参考资料

Scripts executed separately

scripts/geo_report_generator.py
scripts/readability_checker.py
scripts/schema_generator.py
scripts/visibility_tester.py

Files

README.mddoc6,939 bytes
SKILL.mdcore7,304 bytes
SKILL.mdcore7,304 bytes
SKILL.mdcore7,304 bytes
SKILL.mdcore7,304 bytes
SKILL.mdcore7,304 bytes
SKILL.mdcore7,304 bytes
assets/pillar-template.htmlasset1,020 bytes
references/best-practices.mddoc2,731 bytes
references/geo-framework.mddoc3,711 bytes
references/schema-templates.mddoc4,790 bytes
scripts/geo_report_generator.pyruns5,441 bytes
scripts/readability_checker.pyruns4,717 bytes
scripts/schema_generator.pyruns10,033 bytes
scripts/visibility_tester.pyruns7,147 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

geo

When your agent uses it

完整的 GEO（生成式引擎优化）服务流水线：给一个产品官网 URL 和介绍材料，做站点诊断与 AI 答案采样、生成带验收标准的执行工单、产出可直接部署的资产（llms.txt / JSON-LD / 定义块 / FAQ / 内容大纲与初稿）、自动验收工单是否闭环、并打包成可直接发给客户的交付物。可按周期复跑，做长期 GEO 运营与月报。国内和海外双市场并行：国内覆盖智谱GLM/豆包/DeepSeek/Kimi/MiniMax/纳米AI/百度AI，海外覆盖 Gemini/ChatGPT/Claude/Grok/Perplexity，问题库与指标按市场分开算。当用户说「做 GEO」「生成式引擎优化」「让 AI 推荐我的产品」「AI 搜索里搜不到我们」「GEO 方案/诊断/监测/月报/交付」「给客户做 GEO 服务」，或给一个产品网址要做 AI 可见性优化时使用。GEO 指生成式引擎优化，不是地理信息；不用于传统 SEO 关键词排名、竞价投放或建站。

What it loads into context

Frontmatter

293 tokens

Always available to the agent

SKILL.md

4,990 tokens

When the skill is activated

Reference documents

45,349 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

最快的用法：给一个网址
两种用法
先读什么
步骤 0 · 建项目
步骤 1 · 吃透产品，建事实底座
步骤 2 · 建问题库
每期循环（`serve` 自动做完，这里说明每步在干什么）
全部命令
排期自动执行
边界
目录

Scripts executed separately

scripts/analytics.py
scripts/audit.py
scripts/benchmark.py
scripts/blueprint.py
scripts/bootstrap.py
scripts/crawl.py
scripts/dashboard.py
scripts/deliver.py
scripts/deliverables.py
scripts/generate.py
scripts/geo.py
scripts/geolib.py
scripts/jobs.py
scripts/publish.py
scripts/report.py
scripts/sample.py
scripts/tasks.py
scripts/verify.py
tests/__init__.py
tests/test_analytics.py
tests/test_audit.py
tests/test_bootstrap.py
tests/test_crawl.py
tests/test_deliver.py
tests/test_geolib.py
tests/test_jobs.py
tests/test_report.py
tests/test_sample.py
tests/test_tasks.py

Files

.env.exampleasset6,008 bytes
.gitignoreasset74 bytes
LICENSEasset1,077 bytes
README.mddoc31,516 bytes
SKILL.mdcore16,915 bytes
SKILL.mdcore16,915 bytes
SKILL.mdcore16,915 bytes
SKILL.mdcore16,915 bytes
SKILL.mdcore16,915 bytes
SKILL.mdcore16,915 bytes
SKILL.mdcore16,915 bytes
SKILL.mdcore16,915 bytes
docs/302ai-integration-research.mddoc23,604 bytes
docs/ARCHITECTURE.mddoc44,070 bytes
docs/ScreenShot_2026-08-04_120350_841.pngasset174,734 bytes
docs/demo.gifasset963,851 bytes
docs/screenshots/assets.pngasset124,724 bytes
docs/screenshots/channels.pngasset295,681 bytes
docs/screenshots/competitors.pngasset250,666 bytes
docs/screenshots/engines.pngasset230,552 bytes
docs/screenshots/facts.pngasset235,034 bytes
docs/screenshots/gaps.pngasset243,767 bytes
docs/screenshots/overview.pngasset218,891 bytes
docs/screenshots/plan.pngasset260,630 bytes
docs/screenshots/questions.pngasset314,620 bytes
docs/screenshots/settings.pngasset203,291 bytes
docs/screenshots/siteaudit.pngasset263,270 bytes
docs/screenshots/verify.pngasset284,774 bytes
docs/screenshots/workbench.pngasset177,262 bytes
docs/小米手机 · GEO 调研报告.mddoc7,583 bytes
references/cn-platforms.mddoc7,620 bytes
references/cn-source-ranking.mddoc8,147 bytes
references/content-patterns.mddoc5,248 bytes
references/global-platforms.mddoc4,639 bytes
references/known-issues.mddoc3,326 bytes
references/method.mddoc7,977 bytes
references/sources.mddoc4,769 bytes
scripts/analytics.pyruns19,469 bytes
scripts/audit.pyruns13,236 bytes
scripts/benchmark.pyruns4,087 bytes
scripts/blueprint.pyruns18,347 bytes
scripts/bootstrap.pyruns15,503 bytes
scripts/crawl.pyruns9,072 bytes
scripts/dashboard.pyruns37,916 bytes
scripts/deliver.pyruns31,948 bytes
scripts/deliverables.pyruns16,782 bytes
scripts/generate.pyruns24,383 bytes
scripts/geo.pyruns20,983 bytes
scripts/geolib.pyruns14,205 bytes
scripts/jobs.pyruns8,826 bytes
scripts/publish.pyruns9,485 bytes
scripts/report.pyruns19,165 bytes
scripts/sample.pyruns51,207 bytes
scripts/tasks.pyruns19,743 bytes
scripts/ui.htmlasset158,262 bytes
scripts/verify.pyruns11,897 bytes
tests/__init__.pyruns0 bytes
tests/test_analytics.pyruns7,660 bytes
tests/test_audit.pyruns8,211 bytes
tests/test_bootstrap.pyruns5,450 bytes
tests/test_crawl.pyruns2,532 bytes
tests/test_deliver.pyruns5,420 bytes
tests/test_geolib.pyruns1,770 bytes
tests/test_jobs.pyruns4,350 bytes
tests/test_report.pyruns3,686 bytes
tests/test_sample.pyruns6,497 bytes
tests/test_tasks.pyruns3,961 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

geo-content-optimizer
geo-optimizer
geo

Repository facts

License: No license detected
Created: May 10, 2026
Last pushed: Aug 5, 2026
Forks: 37
Open issues: 1
Project activity: Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 12 notes

skills/geo-optimizer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/geo-optimizer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/geo-optimizer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/geo-optimizer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/geo-optimizer/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/geolook/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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skills/geolook/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/geolook/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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skills/geolook/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/geolook/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

1 broad permissionin 1 file: geo-content-optimizer/SKILL.md:1
No dangerous shell commands
365 network referencesin 35 files: geolook/scripts/sample.py:35 geolook/tests/test_audit.py:12 geolook/docs/302ai-integration-research.md:7 and 32 more
No hidden or obfuscated text
No instruction overrides
33 executable scriptsin 33 files: geo-optimizer/scripts/geo_report_generator.py:1 geo-optimizer/scripts/readability_checker.py:1 geo-optimizer/scripts/schema_generator.py:1 and 30 more
194 references to secretsin 16 files: geolook/scripts/sample.py:39 geolook/scripts/dashboard.py:181 geolook/docs/302ai-integration-research.md:73 and 13 more
No requests to vote in Hot

Show all 593 signals by file

`skills/geo-content-optimizer/README.md`

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/geo-content-optimizer https://example.com

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output/   apimart-ai/              ← https://apimart.ai/

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apimart-ai/              ← https://apimart.ai/

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query_fanout.md     query_fanout_summary.md   openai-com/              ← https://openai.com/

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query_fanout_summary.md   openai-com/              ← https://openai.com/     report.md

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openai-com/              ← https://openai.com/

`skills/geo-content-optimizer/SKILL.md`

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WebSearch, mcp__web_reader__webReader, mcp__playwright__browser_navigate, mcp__playwright__browser_snapshot, mcp__playwright__browser_take_screenshot, mcp__playwright__browser_click, mcp__playwright__browser_close, Read, Write, Bash

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1. Extract the domain name from the input URL (e.g., `https://apimart.ai/` → `apimart-ai`, `https://www.example.com/path` → `example-com`).

`skills/geo-optimizer/README.md`

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- [linux.do](https://linux.do) 佬友支持

`skills/geo-optimizer/SKILL.md`

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要求用户提供 Perplexity API Key（获取：https://docs.perplexity.ai/）。

`skills/geo-optimizer/references/best-practices.md`

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4. **Videos without subtitles** — AI cannot understand video without VTT caption files. 5. **FAQ too short** — Minimum 10 FAQ entries. Answers should contain specific data. 6. **Missing Schema validation** — Always validate at [Schema.org V

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5. **FAQ too short** — Minimum 10 FAQ entries. Answers should contain specific data. 6. **Missing Schema validation** — Always validate at [Schema.org Validator](https://validator.schema.org/) before deploying. 7. **Ignoring AI Overview** —

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6. **Missing Schema validation** — Always validate at [Schema.org Validator](https://validator.schema.org/) before deploying.

`skills/geo-optimizer/references/geo-framework.md`

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**验证工具**: [Schema.org Validator](https://validator.schema.org/)

`skills/geo-optimizer/references/schema-templates.md`

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<figure itemscope itemtype="https://schema.org/ImageObject">

`skills/geo-optimizer/scripts/geo_report_generator.py`

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`skills/geo-optimizer/scripts/readability_checker.py`

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`skills/geo-optimizer/scripts/schema_generator.py`

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#!/usr/bin/env python3
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area_served=None, founding_date=None, url=None):     schema = {         "@context": "https://schema.org",

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schema = {         "@context": "https://schema.org",         "@type": "Organization",

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"@context": "https://schema.org",
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})     return {         "@context": "https://schema.org",

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return {         "@context": "https://schema.org",         "@type": "FAQPage",

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article_type="TechArticle"):     schema = {         "@context": "https://schema.org",

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schema = {         "@context": "https://schema.org",         "@type": article_type,

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"@context": "https://schema.org",
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article["author"] = {"@id": author_info["person_id"]}     return {         "@context": "https://schema.org",

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return {         "@context": "https://schema.org",         "@graph": [person, article]

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citations.append(entry)     schema = {         "@context": "https://schema.org",

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schema = {         "@context": "https://schema.org",         "@type": "Article",

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"@context": "https://schema.org",
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})     return {         "@context": "https://schema.org",

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return {         "@context": "https://schema.org",         "@type": "BreadcrumbList",

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```
"@context": "https://schema.org",
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`skills/geo-optimizer/scripts/visibility_tester.py`

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"https://api.perplexity.ai/chat/completions",

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parser.add_argument("--model", default="kimi-k2.6", help="Model name for Kimi backend")     parser.add_argument("--base-url", default="https://api.moonshot.cn/v1",                         help="API base URL for Kimi backend")

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parser.add_argument("--base-url", default="https://api.moonshot.cn/v1",

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`skills/geolook/.env.example`

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# ============================================================ # 一把 Key 解锁全部能力。设为 1 后 sample/generate/aggregate 全部走 # https://api.302ai.cn/v1（国内端点·OpenAI 兼容 + Anthropic 兼容，推荐）；

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# 一把 Key 解锁全部能力。设为 1 后 sample/generate/aggregate 全部走 # https://api.302ai.cn/v1（国内端点·OpenAI 兼容 + Anthropic 兼容，推荐）； # 海外目录是 api.302.ai，模型 ID 与国内目录不同，切换前先 GET /v1/models 实测。

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# https://api.302ai.cn/v1（国内端点·OpenAI 兼容 + Anthropic 兼容，推荐）；

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# 海外目录是 api.302.ai，模型 ID 与国内目录不同，切换前先 GET /v1/models 实测。 # 302.AI 模式下还自带 9 个搜索 provider 的联网能力。Key 在 https://302.ai 控制台申请。 # 详见 docs/302ai-integration-research.md

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# 302.AI 模式下还自带 9 个搜索 provider 的联网能力。Key 在 https://302.ai 控制台申请。

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# ============================================================ # 与 302.AI 互斥使用（用户只配一个）。想用 OpenRouter 时，把上面 AI302AI_MODE # 改为 0，再启用本节，sample/generate/aggregate 会改走 https://openrouter.ai/api/v1。

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# 与 302.AI 互斥使用（用户只配一个）。想用 OpenRouter 时，把上面 AI302AI_MODE # 改为 0，再启用本节，sample/generate/aggregate 会改走 https://openrouter.ai/api/v1。 # 9/10 平台覆盖（豆包 OpenRouter 无，自动跳过）：

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# 改为 0，再启用本节，sample/generate/aggregate 会改走 https://openrouter.ai/api/v1。

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`skills/geolook/.gitignore`

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`skills/geolook/README.md`

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🔍 [在线演示（只读）](https://geolook.cc/demo/)

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在workbuddy，codex, claude code，等平台： 直接命令要求安装skill:<https://github.com/liangdabiao/geolook>

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直接命令要求安装skill:<https://github.com/liangdabiao/geolook>

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注册302.AI Key：<https://www.302.ai/302ai-key>

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申请 OpenRouter Key：<https://openrouter.ai/keys>

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# 1. 克隆并安装依赖 git clone https://github.com/liangdabiao/geolook.git

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git clone https://github.com/liangdabiao/geolook.git cd geolook pip3 install requests beautifulsoup4 lxml

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# 2. 启动看板（自动打开浏览器） python3 scripts/geo.py ui        # → http://127.0.0.1:8765

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python3 scripts/geo.py ui        # → http://127.0.0.1:8765

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# 推荐：SSH 隧道 ssh -N -L 8765:127.0.0.1:8765 user@your-server # 然后本地浏览器打开 http://127.0.0.1:8765

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# 然后本地浏览器打开 http://127.0.0.1:8765

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python3 scripts/geo.py new --url https://example.com --market both

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- [@yaojingang](https://github.com/yaojingang)

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```
<https://linux.do> 感谢佬友
```

`skills/geolook/SKILL.md`

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python3 scripts/geo.py new --url https://example.com --market both

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python3 scripts/geo.py ui        # 默认 http://127.0.0.1:8765

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`skills/geolook/docs/302ai-integration-research.md`

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> ⚠<U+FE0F> **2026-08-04 实测更新（重要）**：本账号走的是**国内端点 `https://api.302ai.cn`（新版本目录）**，

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> 与本文多数地方写的海外端点 `api.302.ai` **模型 ID 不一致**。判断「某平台/某模型是否可用」， > **一律以 `GET https://api.302ai.cn/v1/models` 的全量列表实测为准**，别拿海外目录的旧 ID 下结论 > （曾因此误判 gemini/claude/perplexity 不可用）。代码里 `AI302AI_BASE` 已默认国内端点。

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> **一律以 `GET https://api.302ai.cn/v1/models` 的全量列表实测为准**，别拿海外目录的旧 ID 下结论

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| 问题 | 答案 | |---|---| | 302.AI 能不能跑通 GeoLook 全部 9 个 LLM 平台？ | ✅ **能**。`https://api.302.ai/v1/chat/completions` 是 OpenAI 兼容端点，9 个平台全部对应有模型 |

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|---|---| | 302.AI 能不能跑通 GeoLook 全部 9 个 LLM 平台？ | ✅ **能**。`https://api.302.ai/v1/chat/completions` 是 OpenAI 兼容端点，9 个平台全部对应有模型 | | 能否用同一个 Key 调这 9 个平台？ | ✅ **能**。一个 `302AI_API_KEY`（或 CLI 中的 `AI302_KEY`）覆盖 1400+ API |

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| 302.AI 能不能跑通 GeoLook 全部 9 个 LLM 平台？ | ✅ **能**。`https://api.302.ai/v1/chat/completions` 是 OpenAI 兼容端点，9 个平台全部对应有模型 |

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| 能否用同一个 Key 调这 9 个平台？ | ✅ **能**。一个 `302AI_API_KEY`（或 CLI 中的 `AI302_KEY`）覆盖 1400+ API | | 联网能力（豆包 / Perplexity）怎么办？ | ✅ **保留并加强**。Perplexity 原生联网模型 302.AI 上有；联网搜索走 `302ai search` CLI（9 家搜索引擎） | | Anthropic 协议（Claude）怎么办？ | ✅ **能**。302.AI 同时

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| 联网能力（豆包 / Perplexity）怎么办？ | ✅ **保留并加强**。Perplexity 原生联网模型 302.AI 上有；联网搜索走 `302ai search` CLI（9 家搜索引擎） | | Anthropic 协议（Claude）怎么办？ | ✅ **能**。302.AI 同时提供 Anthropic 兼容 `/messages` 端点（`ANTHROPIC_BASE_URL=https://api.302.ai/v1` 已验证） | | 火山方舟特

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| Anthropic 协议（Claude）怎么办？ | ✅ **能**。302.AI 同时提供 Anthropic 兼容 `/messages` 端点（`ANTHROPIC_BASE_URL=https://api.302.ai/v1` 已验证） |

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| 端点 | 协议 | 用途 | |---|---|---| | `POST https://api.302.ai/v1/chat/completions` | OpenAI 兼容 | **所有 OpenAI/Anthropic/Google/DeepSeek/GLM/Doubao/MiniMax 模型都走这里** |

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|---|---|---| | `POST https://api.302.ai/v1/chat/completions` | OpenAI 兼容 | **所有 OpenAI/Anthropic/Google/DeepSeek/GLM/Doubao/MiniMax 模型都走这里** | | `POST https://api.302.ai/v1/messages` | Anthropic 兼容 | Claude 系列专用，自动路由（同 base） |

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| `POST https://api.302.ai/v1/chat/completions` | OpenAI 兼容 | **所有 OpenAI/Anthropic/Google/DeepSeek/GLM/Doubao/MiniMax 模型都走这里** |

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| `POST https://api.302.ai/v1/messages` | Anthropic 兼容 | Claude 系列专用，自动路由（同 base） |

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| `GET  https://api.302.ai/v1/models` | OpenAI 兼容 | 列模型 + 价格 |

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| `POST https://api.302.ai/v1/embeddings` | OpenAI 兼容 | Embedding（将来可用于聚类题目） |

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> 端点：`POST https://api.302.ai/302/general/search`（同样一把 Key 通用）

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302.AI 的定价 vs 直接走官方（来源：[mastra.ai/models/providers/302ai](https://mastra.ai/models/providers/302ai)、[aimodelapis.com](https://aimodelapis.com/providers/302ai)）：

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"name": "智谱GLM", "market": "cn",         # 原版         "base": "https://open.bigmodel.cn/api/paas/v4",

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# 原版         "base": "https://open.bigmodel.cn/api/paas/v4",         "model": os.environ.get("GLM_MODEL", "glm-4-flash"),

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"base": "https://open.bigmodel.cn/api/paas/v4",

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# 302.AI 替代（在 available() 里判断）         "ai302ai": {             "base": "https://api.302.ai/v1",

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"ai302ai": {             "base": "https://api.302.ai/v1",             "model": os.environ.get("AI302AI_GLM_MODEL", "glm-4.5-air"),

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```
"base": "https://api.302.ai/v1",
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`ask_anthropic()` 在 302.AI 模式下，base 改 `https://api.302.ai/v1`，**Anthropic 兼容端点自动识别**（302.AI 在同一 base 下同时跑 OpenAI 和 Anthropic 协议，靠 path 区分）。

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6. 加 Claude 的 Anthropic 协议适配：`ask_anthropic()` 检测到 `AI302AI_MODE` 时切 base 到 `https://api.302.ai/v1`

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13. 启动时校验 `GET https://api.302.ai/v1/models?llm=1`，对比本地预设，缺失平台警告

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| 来源 | 用途 | |---|---| | [mastra.ai/models/providers/302ai](https://mastra.ai/models/providers/302ai) | 302.AI 模型列表（97+） |

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|---|---| | [mastra.ai/models/providers/302ai](https://mastra.ai/models/providers/302ai) | 302.AI 模型列表（97+） | | [aimodelapis.com/providers/302ai](https://aimodelapis.com/providers/302ai) | 单个模型详细参数（context、价格、能力）|

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| [mastra.ai/models/providers/302ai](https://mastra.ai/models/providers/302ai) | 302.AI 模型列表（97+） |

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| [aimodelapis.com/providers/302ai](https://aimodelapis.com/providers/302ai) | 单个模型详细参数（context、价格、能力）|

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| [302ai.apifox.cn](https://302ai.apifox.cn/) | 302.AI 官方 API 文档（apifox）|

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| [@302ai/ai-sdk on npm](https://www.npmjs.com/package/@302ai/ai-sdk) | Vercel AI SDK 集成范例 |

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| [ZCF 文档](https://deepwiki.com/UfoMiao/zcf/10.4-environment-variables) | 验证 `ANTHROPIC_BASE_URL=https://api.302.ai/v1` 可用 |

`skills/geolook/docs/ARCHITECTURE.md`

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| [deliver.py](file:///d:/geolook-main/scripts/deliver.py) | 客户交付包打包 | `delivery/<日期>/` | | [publish.py](file:///d:/geolook-main/scripts/publish.py) | 手动触发，凭证在 `.env` | — | | [dashboard.py](file:///d:/geolook-main/scripts/dashboard.py) | 看板

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| [publish.py](file:///d:/geolook-main/scripts/publish.py) | 手动触发，凭证在 `.env` | — | | [dashboard.py](file:///d:/geolook-main/scripts/dashboard.py) | 看板后端：REST + 任务代理 | http://127.0.0.1:8765 | | [jobs.py](file:///d:/geolook-main/scripts/jobs.

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| [dashboard.py](file:///d:/geolook-main/scripts/dashboard.py) | 看板后端：REST + 任务代理 | http://127.0.0.1:8765 |

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"effort": "S",   "window": "30天",   "affected": ["https://..."],

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"window": "30天",   "affected": ["https://..."],   "acceptance": {

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```
"affected": ["https://..."],
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"new_platform": {        "name": "新平台", "market": "cn",  # 或 "global"        "base": "https://api.example.com/v1",

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"name": "新平台", "market": "cn",  # 或 "global"        "base": "https://api.example.com/v1",        "model": os.environ.get("NEW_PLATFORM_MODEL", "model-v1"),

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"base": "https://api.example.com/v1",
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`skills/geolook/references/cn-platforms.md`

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`skills/geolook/references/cn-source-ranking.md`

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# 数据（约 430KB，只需这一个 mart） curl -sLO https://raw.githubusercontent.com/yaojingang/geo-citation-lab/main/03-cn-geo-citation-dataset/data/marts/source_visibility.parquet

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curl -sLO https://raw.githubusercontent.com/yaojingang/geo-citation-lab/main/03-cn-geo-citation-dataset/data/marts/source_visibility.parquet

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curl -sLO https://raw.githubusercontent.com/yaojingang/geo-citation-lab/main/03-cn-geo-citation-dataset/data/reference/source_types.csv

`skills/geolook/references/content-patterns.md`

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<script type="application/ld+json"> {   "@context": "https://schema.org",

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{   "@context": "https://schema.org",   "@type": "Organization",

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```
"@context": "https://schema.org",
```

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"name": "品牌规范名",   "alternateName": ["别名1", "别名2"],   "url": "https://example.com",

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"alternateName": ["别名1", "别名2"],   "url": "https://example.com",   "logo": "https://example.com/logo.png",

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```
"url": "https://example.com",
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```
"logo": "https://example.com/logo.png",
```

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## 重要页面 - [产品总览](https://example.com/product): 一句话说明

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- [产品总览](https://example.com/product): 一句话说明

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- [价格](https://example.com/pricing): 一句话说明

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- [文档](https://docs.example.com): 一句话说明

`skills/geolook/references/global-platforms.md`

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`skills/geolook/references/known-issues.md`

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**事实**： - **国内端点 `https://api.302ai.cn`**（新版本目录）才是本账号可用目录，代码 `AI302AI_BASE` 已是它。

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- **国内端点 `https://api.302ai.cn`**（新版本目录）才是本账号可用目录，代码 `AI302AI_BASE` 已是它。

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**规则**：判断「某平台/某模型是否可用」前，先 `GET https://api.302ai.cn/v1/models`

`skills/geolook/references/sources.md`

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| 资料 | 地址 | 什么时候用 | |---|---|---| | GEO Citation Lab（数据总仓） | https://github.com/yaojingang/geo-citation-lab | 要复算或查原始口径 |

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|---|---|---| | GEO Citation Lab（数据总仓） | https://github.com/yaojingang/geo-citation-lab | 要复算或查原始口径 | | 海外跨平台实验 3 分钟速读 | `01-geo-experiment-data-report/QUICK_REPORT.md` | **最高性价比**，`method.md` 的数字主要来自这里 |

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| GEO Citation Lab（数据总仓） | https://github.com/yaojingang/geo-citation-lab | 要复算或查原始口径 |

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| 国内 AI 引用偏好数据集 CN-GEO | `03-cn-geo-citation-dataset/` | 查国内平台/信源分布，21.4 万条引用记录 | | 海外 AI 引用偏好数据集 | `01-geo-experiment-data-report/` | 做海外市场时的信源判据 | | 论文：Citation Selection → Absorption | https://arxiv.org/abs/2604.25707 | 海外三平台实验，`method.m

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| 海外 AI 引用偏好数据集 | `01-geo-experiment-data-report/` | 做海外市场时的信源判据 | | 论文：Citation Selection → Absorption | https://arxiv.org/abs/2604.25707 | 海外三平台实验，`method.md` 第 2 节数字的出处 | | 论文：中文生成式搜索引用什么 | https://arxiv.org/pdf/2607.15771 | 国内四产品八界面，Web

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| 论文：Citation Selection → Absorption | https://arxiv.org/abs/2604.25707 | 海外三平台实验，`method.md` 第 2 节数字的出处 |

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| 论文：中文生成式搜索引用什么 | https://arxiv.org/pdf/2607.15771 | 国内四产品八界面，Web/App 差异的出处 |

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git clone --depth 1 https://github.com/yaojingang/geo-citation-lab.git

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单文件取：`https://raw.githubusercontent.com/yaojingang/geo-citation-lab/main/<路径>`

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| 资料 | 地址 | 说明 | |---|---|---| | yao-geo-skills（21 个细分 skill） | https://github.com/yaojingang/yao-geo-skills | 需要某个环节的**更细方法**时去查对应 `skills/<id>/SKILL.md` |

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|---|---|---| | yao-geo-skills（21 个细分 skill） | https://github.com/yaojingang/yao-geo-skills | 需要某个环节的**更细方法**时去查对应 `skills/<id>/SKILL.md` | | **GEORank**（开源 GEO 工作台） | https://github.com/yaojingang/GEORank | 见下方说明 |

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| yao-geo-skills（21 个细分 skill） | https://github.com/yaojingang/yao-geo-skills | 需要某个环节的**更细方法**时去查对应 `skills/<id>/SKILL.md` |

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| **GEORank**（开源 GEO 工作台） | https://github.com/yaojingang/GEORank | 见下方说明 |

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| GEORankHub（官方演示站） | https://georankhub.com | 不想自建时的在线入口 |

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| GEOFlow（开源 GEO 运营系统） | https://github.com/yaojingang/GEOFlow | 要上规模化内容生产/分发平台时才需要，Laravel + Docker |

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| GEO 资源专题 | https://tok123.cc/collections/geo-resources-and-services | 工具与服务商索引 |

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| 资料 | 地址 | |---|---| | 《国内生成式AI引用生态全景报告》 | https://doc.laoyao.cn/qty18p |

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|---|---| | 《国内生成式AI引用生态全景报告》 | https://doc.laoyao.cn/qty18p | | 《信源偏好分析报告》 | https://doc.laoyao.cn/krgovd |

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| 《国内生成式AI引用生态全景报告》 | https://doc.laoyao.cn/qty18p |

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| 《信源偏好分析报告》 | https://doc.laoyao.cn/krgovd |

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| 《GEO白皮书》 | https://yaojingang.feishu.cn/docx/Jv85dXAeZoKJ7exJi4Yc4Edrnhf |

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| 《GEO红皮书》 | https://yaojingang.feishu.cn/wiki/Otqtw0HFbiNeCMkjKalcFkoJnpf |

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| 《GEO蓝皮书》 | https://yaojingang.feishu.cn/wiki/MwkiwPDqCiHGwVk2uOtcNUlrnnf |

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| 《GEO到底是什么》 | https://mp.weixin.qq.com/s/GXuu0Hku-j-8ona5yzQSvA |

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| 《从SEO到GEO，从流量到Agent》 | https://mp.weixin.qq.com/s/2P_zSjJkybl-rAyZjMIQAw |

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| 《从AI搜索逻辑到GEOFlow落地实战》 | https://mp.weixin.qq.com/s/8Lyrzux7WacHjiHx_P9Fbg |

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| 《一文讲透GEO内容工程》 | https://mp.weixin.qq.com/s/0ZZ5je2-W83HY7RtmsYkJA |

`skills/geolook/scripts/analytics.py`

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`skills/geolook/scripts/audit.py`

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`skills/geolook/scripts/benchmark.py`

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`skills/geolook/scripts/blueprint.py`

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`skills/geolook/scripts/bootstrap.py`

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`skills/geolook/scripts/crawl.py`

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```
home = G.fetch(root)
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def crawl_one(i: int, u: str) -> dict:         res = home if u.rstrip("/") == root else G.fetch(u)

Network accessline 171

res = home if u.rstrip("/") == root else G.fetch(u)

`skills/geolook/scripts/dashboard.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 181
```
[Credential-related source omitted]
```
Access to secretsline 188
```
[Credential-related source omitted]
```
Access to secretsline 190
```
[Credential-related source omitted]
```
Access to secretsline 264
```
[Credential-related source omitted]
```
Access to secretsline 265
```
[Credential-related source omitted]
```
Access to secretsline 271
```
[Credential-related source omitted]
```
Access to secretsline 275
```
[Credential-related source omitted]
```
Access to secretsline 290
```
[Credential-related source omitted]
```
Access to secretsline 291
```
[Credential-related source omitted]
```
Access to secretsline 298
```
[Credential-related source omitted]
```
Access to secretsline 311
```
[Credential-related source omitted]
```
Access to secretsline 317
```
[Credential-related source omitted]
```
Access to secretsline 319
```
[Credential-related source omitted]
```
Access to secretsline 506
```
[Credential-related source omitted]
```
Access to secretsline 513
```
[Credential-related source omitted]
```
Access to secretsline 532
```
[Credential-related source omitted]
```
Access to secretsline 534
```
[Credential-related source omitted]
```
Access to secretsline 535
```
[Credential-related source omitted]
```
Access to secretsline 540
```
[Credential-related source omitted]
```
Network accessline 542
```
[Credential-related source omitted]
```
Access to secretsline 542
```
[Credential-related source omitted]
```

Network accessline 543

try:                         r = requests.get(                             "https://api.302ai.cn/v1/models",

Network accessline 544
```
r = requests.get(
```
Network accessline 545
```
"https://api.302ai.cn/v1/models",
```
Access to secretsline 557
```
[Credential-related source omitted]
```
Access to secretsline 559
```
[Credential-related source omitted]
```
Access to secretsline 561
```
[Credential-related source omitted]
```
Access to secretsline 573
```
[Credential-related source omitted]
```
Access to secretsline 574
```
[Credential-related source omitted]
```
Access to secretsline 594
```
[Credential-related source omitted]
```
Access to secretsline 596
```
[Credential-related source omitted]
```
Access to secretsline 597
```
[Credential-related source omitted]
```
Access to secretsline 603
```
[Credential-related source omitted]
```
Network accessline 605
```
[Credential-related source omitted]
```
Access to secretsline 605
```
[Credential-related source omitted]
```

Network accessline 606

try:                         r = requests.get(                             "https://openrouter.ai/api/v1/auth/key",

Network accessline 607
```
r = requests.get(
```

Network accessline 608

"https://openrouter.ai/api/v1/auth/key",

Access to secretsline 622
```
[Credential-related source omitted]
```
Access to secretsline 624
```
[Credential-related source omitted]
```
Access to secretsline 628
```
[Credential-related source omitted]
```
Access to secretsline 640
```
[Credential-related source omitted]
```
Access to secretsline 641
```
[Credential-related source omitted]
```

Network accessline 747

threading.Thread(target=_monitor_loop, daemon=True).start()     srv = ThreadingHTTPServer(("127.0.0.1", port), Handler)     url = f"http://127.0.0.1:{port}/"

Network accessline 748

srv = ThreadingHTTPServer(("127.0.0.1", port), Handler)     url = f"http://127.0.0.1:{port}/"     G.info(f"看板已启动：{url}（Ctrl+C 退出）")

Network accessline 749
```
url = f"http://127.0.0.1:{port}/"
```

`skills/geolook/scripts/deliver.py`

Executable scriptline 1
```
Executable file
```

`skills/geolook/scripts/deliverables.py`

Executable scriptline 1
```
Executable file
```

`skills/geolook/scripts/generate.py`

Executable scriptline 1
```
Executable file
```

Network accessline 136

org = {         "@context": "https://schema.org", "@type": "Organization",

Network accessline 137

"@context": "https://schema.org", "@type": "Organization",

Network accessline 150

app = {         "@context": "https://schema.org", "@type": "SoftwareApplication",

Network accessline 151

"@context": "https://schema.org", "@type": "SoftwareApplication",

Network accessline 173

faq = {"@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [

Network accessline 178

article = {         "@context": "https://schema.org", "@type": "Article",

Network accessline 179

"@context": "https://schema.org", "@type": "Article",

Network accessline 187

breadcrumb = {"@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [

`skills/geolook/scripts/geo.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 4

python3 scripts/geo.py init --url https://example.com --name 品牌名

Network accessline 55

name = a.name     if not name:         res = G.fetch(url)

Network accessline 56

if not name:         res = G.fetch(url)         if res["html"]:

Network accessline 57
```
res = G.fetch(url)
```

`skills/geolook/scripts/geolib.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 44
```
[Credential-related source omitted]
```
Access to secretsline 55
```
[Credential-related source omitted]
```
Access to secretsline 58
```
[Credential-related source omitted]
```

Network accessline 69

if m and m.group(1).lower() != "direct":             proxy = m.group(1).strip()             os.environ["HTTP_PROXY"] = f"http://{proxy}"

Network accessline 70

proxy = m.group(1).strip()             os.environ["HTTP_PROXY"] = f"http://{proxy}"             os.environ["HTTPS_PROXY"] = f"http://{proxy}"

Network accessline 71
```
[Credential-related source omitted]
```
Access to secretsline 71
```
[Credential-related source omitted]
```
Network accessline 72
```
[Credential-related source omitted]
```
Access to secretsline 72
```
[Credential-related source omitted]
```

Network accessline 223

def fetch(url: str, timeout: int = 12, retries: int = 1) -> dict:

Network accessline 230

try:             t0 = time.time()             r = requests.get(

Network accessline 231

t0 = time.time()             r = requests.get(                 url,

Network accessline 232
```
r = requests.get(
```

Network accessline 278

def fetch_text(url: str, timeout: int = 8) -> str:     try:         r = requests.get(url, timeout=timeout, headers={"User-Agent": UA})

Network accessline 279

try:         r = requests.get(url, timeout=timeout, headers={"User-Agent": UA})         if r.status_code == 200:

Network accessline 280

r = requests.get(url, timeout=timeout, headers={"User-Agent": UA})

`skills/geolook/scripts/jobs.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 150
```
[Credential-related source omitted]
```

`skills/geolook/scripts/publish.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 24
```
[Credential-related source omitted]
```
Access to secretsline 27
```
[Credential-related source omitted]
```

Network accessline 31

"wordpress": {         "name": "WordPress", "env": ["WP_USER", "WP_APP_PASSWORD"],         "cfg": [("site_url", "https://blog.example.com")],

Network accessline 32

"name": "WordPress", "env": ["WP_USER", "WP_APP_PASSWORD"],         "cfg": [("site_url", "https://blog.example.com")],         "note": "REST API 新建草稿文章，登录后台确认后再发布",

Network accessline 33

"cfg": [("site_url", "https://blog.example.com")],

Access to secretsline 50
```
[Credential-related source omitted]
```
Network accessline 108
```
[Credential-related source omitted]
```
Access to secretsline 108
```
[Credential-related source omitted]
```

Network accessline 109

"Accept": "application/vnd.github+json"}     url = f"https://api.github.com/repos/{repo}/contents/{path}"     body = {"message": f"geo: publish {title}", "branch": branch,

Network accessline 110

url = f"https://api.github.com/repos/{repo}/contents/{path}"

Network accessline 111

body = {"message": f"geo: publish {title}", "branch": branch,             "content": base64.b64encode(text.encode()).decode()}     r0 = requests.get(url, headers=H, params={"ref": branch}, timeout=30)

Network accessline 112

"content": base64.b64encode(text.encode()).decode()}     r0 = requests.get(url, headers=H, params={"ref": branch}, timeout=30)     if r0.status_code == 200:  # 已存在→更新

Network accessline 113

r0 = requests.get(url, headers=H, params={"ref": branch}, timeout=30)

Network accessline 114

if r0.status_code == 200:  # 已存在→更新         body["sha"] = r0.json().get("sha")     r = requests.put(url, headers=H, json=body, timeout=30)

Network accessline 115

body["sha"] = r0.json().get("sha")     r = requests.put(url, headers=H, json=body, timeout=30)     if r.status_code in (200, 201):

Network accessline 116

r = requests.put(url, headers=H, json=body, timeout=30)

Network accessline 124

if not site:         return {"ok": False, "error": "先在设置里配置 site_url"}     r = requests.post(f"{site}/wp-json/wp/v2/posts",

Network accessline 125

return {"ok": False, "error": "先在设置里配置 site_url"}     r = requests.post(f"{site}/wp-json/wp/v2/posts",                       auth=(os.environ["WP_USER"], os.environ["WP_APP_PASSWORD"]),

Network accessline 126

r = requests.post(f"{site}/wp-json/wp/v2/posts",

Access to secretsline 127
```
[Credential-related source omitted]
```

Network accessline 138

if not thumb:         return {"ok": False, "error": "缺封面：先在设置里配置 thumb_media_id（永久素材）"}     tr = requests.get("https://api.weixin.qq.com/cgi-bin/token",

Network accessline 139

return {"ok": False, "error": "缺封面：先在设置里配置 thumb_media_id（永久素材）"}     tr = requests.get("https://api.weixin.qq.com/cgi-bin/token",                       params={"grant_type": "client_credential",

Network accessline 140

tr = requests.get("https://api.weixin.qq.com/cgi-bin/token",

Access to secretsline 142
```
[Credential-related source omitted]
```
Access to secretsline 143
```
[Credential-related source omitted]
```
Access to secretsline 144
```
[Credential-related source omitted]
```
Network accessline 147
```
[Credential-related source omitted]
```
Network accessline 148
```
[Credential-related source omitted]
```
Network accessline 149
```
[Credential-related source omitted]
```
Access to secretsline 149
```
[Credential-related source omitted]
```

Network accessline 157

def _pub_webhook(cfg, text, title, fname):     r = requests.post(os.environ["PUBLISH_WEBHOOK_URL"],

Network accessline 158
```
[Credential-related source omitted]
```
Access to secretsline 158
```
[Credential-related source omitted]
```

`skills/geolook/scripts/report.py`

Executable scriptline 1
```
Executable file
```

`skills/geolook/scripts/sample.py`

Executable scriptline 1
```
Executable file
```

Network accessline 35

"glm": {         "name": "智谱GLM", "market": "cn",         "base": "https://open.bigmodel.cn/api/paas/v4",

Network accessline 37

"base": "https://open.bigmodel.cn/api/paas/v4",

Access to secretsline 39
```
[Credential-related source omitted]
```
Access to secretsline 41
```
[Credential-related source omitted]
```

Network accessline 48

"name": "豆包(方舟API)", "market": "cn",         "protocol": "ark",         "base": "https://ark.cn-beijing.volces.com/api/v3",

Network accessline 49

"protocol": "ark",         "base": "https://ark.cn-beijing.volces.com/api/v3",         "model": os.environ.get("ARK_MODEL", "doubao-seed-1-6-250615"),

Network accessline 50

"base": "https://ark.cn-beijing.volces.com/api/v3",

Access to secretsline 51
```
[Credential-related source omitted]
```
Access to secretsline 53
```
[Credential-related source omitted]
```

Network accessline 57

"deepseek": {         "name": "DeepSeek", "market": "cn",         "base": "https://api.deepseek.com/v1",

Network accessline 58

"name": "DeepSeek", "market": "cn",         "base": "https://api.deepseek.com/v1",         "model": os.environ.get("DEEPSEEK_MODEL", "deepseek-v4-flash"),

Network accessline 59
```
"base": "https://api.deepseek.com/v1",
```
Access to secretsline 60
```
[Credential-related source omitted]
```
Access to secretsline 62
```
[Credential-related source omitted]
```

Network accessline 66

"kimi": {         "name": "Kimi", "market": "cn",         "base": "https://api.moonshot.cn/v1",

Network accessline 67

"name": "Kimi", "market": "cn",         "base": "https://api.moonshot.cn/v1",         "model": os.environ.get("MOONSHOT_MODEL", "kimi-k2-0905-preview"),

Network accessline 68
```
"base": "https://api.moonshot.cn/v1",
```
Access to secretsline 69
```
[Credential-related source omitted]
```
Access to secretsline 71
```
[Credential-related source omitted]
```

Network accessline 75

"minimax": {         "name": "MiniMax", "market": "cn",         "base": "https://api.minimaxi.com/v1",

Network accessline 76

"name": "MiniMax", "market": "cn",         "base": "https://api.minimaxi.com/v1",         "model": os.environ.get("MINIMAX_MODEL", "MiniMax-M2"),

Network accessline 77
```
"base": "https://api.minimaxi.com/v1",
```
Access to secretsline 78
```
[Credential-related source omitted]
```
Access to secretsline 80
```
[Credential-related source omitted]
```

Network accessline 85

"gemini": {         "name": "Gemini", "market": "global",         "base": "https://generativelanguage.googleapis.com/v1beta/openai",

Network accessline 86

"name": "Gemini", "market": "global",         "base": "https://generativelanguage.googleapis.com/v1beta/openai",         "model": os.environ.get("GEMINI_MODEL", "gemini-2.5-flash"),

Network accessline 87

"base": "https://generativelanguage.googleapis.com/v1beta/openai",

Access to secretsline 88
```
[Credential-related source omitted]
```
Access to secretsline 90
```
[Credential-related source omitted]
```

Network accessline 94

"openai": {         "name": "OpenAI(ChatGPT)", "market": "global",         "base": os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1"),

Network accessline 95

"name": "OpenAI(ChatGPT)", "market": "global",         "base": os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1"),         "model": os.environ.get("OPENAI_MODEL", "gpt-4o-mini"),

Network accessline 96
```
[Credential-related source omitted]
```
Access to secretsline 96
```
[Credential-related source omitted]
```
Access to secretsline 97
```
[Credential-related source omitted]
```
Access to secretsline 99
```
[Credential-related source omitted]
```

Network accessline 105

"name": "Claude", "market": "global",         "protocol": "anthropic",         "base": "https://api.anthropic.com/v1",

Network accessline 106

"protocol": "anthropic",         "base": "https://api.anthropic.com/v1",         "model": os.environ.get("ANTHROPIC_MODEL", "claude-sonnet-5"),

Network accessline 107
```
"base": "https://api.anthropic.com/v1",
```
Access to secretsline 108
```
[Credential-related source omitted]
```
Access to secretsline 110
```
[Credential-related source omitted]
```

Network accessline 114

"grok": {         "name": "Grok", "market": "global",         "base": "https://api.x.ai/v1",

Network accessline 115

"name": "Grok", "market": "global",         "base": "https://api.x.ai/v1",         "model": os.environ.get("GROK_MODEL", "grok-3-mini"),

Network accessline 116
```
"base": "https://api.x.ai/v1",
```
Access to secretsline 117
```
[Credential-related source omitted]
```
Access to secretsline 119
```
[Credential-related source omitted]
```

Network accessline 123

"perplexity": {         "name": "Perplexity", "market": "global",         "base": "https://api.perplexity.ai",

Network accessline 124

"name": "Perplexity", "market": "global",         "base": "https://api.perplexity.ai",         "model": os.environ.get("PERPLEXITY_MODEL", "sonar"),

Network accessline 125
```
"base": "https://api.perplexity.ai",
```
Access to secretsline 126
```
[Credential-related source omitted]
```
Access to secretsline 128
```
[Credential-related source omitted]
```

Network accessline 143

# ------------------------------------------------------------ 302.AI 统一 Key 模式 # 一把 Key 跑通 9 个 LLM 平台。设 AI302AI_MODE=1 且填 AI302AI_API_KEY 后， # sample/aggregate 全部走 https://api.302ai.cn/v1（国内端点·OpenAI 兼容 + Anthropic 兼容）。

Network accessline 144
```
[Credential-related source omitted]
```
Access to secretsline 144
```
[Credential-related source omitted]
```

Network accessline 145

# sample/aggregate 全部走 https://api.302ai.cn/v1（国内端点·OpenAI 兼容 + Anthropic 兼容）。

Access to secretsline 147
```
[Credential-related source omitted]
```

Network accessline 149

AI302AI_BASE = "https://api.302ai.cn/v1"

Access to secretsline 170
```
[Credential-related source omitted]
```

Network accessline 175

# ============================================================ # OpenRouter 模式（与 302.AI 并列：用户只配一个聚合器） # 端点：https://openrouter.ai/api/v1（纯 OpenAI 兼容协议）

Network accessline 176

# OpenRouter 模式（与 302.AI 并列：用户只配一个聚合器） # 端点：https://openrouter.ai/api/v1（纯 OpenAI 兼容协议） # 注意：OpenRouter 上没有 Doubao，豆包在 OpenRouter 模式下被自动跳过

Network accessline 177

# 端点：https://openrouter.ai/api/v1（纯 OpenAI 兼容协议）

Network accessline 180

OPENROUTER_BASE = "https://openrouter.ai/api/v1"

Access to secretsline 200
```
[Credential-related source omitted]
```
Access to secretsline 217
```
[Credential-related source omitted]
```
Access to secretsline 220
```
[Credential-related source omitted]
```
Access to secretsline 224
```
[Credential-related source omitted]
```
Access to secretsline 226
```
[Credential-related source omitted]
```
Access to secretsline 247
```
[Credential-related source omitted]
```
Access to secretsline 250
```
[Credential-related source omitted]
```
Access to secretsline 254
```
[Credential-related source omitted]
```
Access to secretsline 256
```
[Credential-related source omitted]
```

Network accessline 265

# ------------------------------------------------------------ 302.AI 多源搜索 # 一把 Key + 9 个搜索 provider。详见 .claude/skills/302ai-cli-skill/references/search.md # 端点：POST https://api.302.ai/302/general/search

Network accessline 266

# 一把 Key + 9 个搜索 provider。详见 .claude/skills/302ai-cli-skill/references/search.md # 端点：POST https://api.302.ai/302/general/search # 默认按市场分流：cn → bocha（中文质量好），global → tavily（英文质量好）

Network accessline 267

# 端点：POST https://api.302.ai/302/general/search

Network accessline 269

AI302AI_SEARCH_URL = "https://api.302ai.cn/302/general/search"

Access to secretsline 318
```
[Credential-related source omitted]
```

Network accessline 329

body["exclude_domains"] = exclude_domains     try:         r = requests.post(

Network accessline 330

try:         r = requests.post(             AI302AI_SEARCH_URL,

Network accessline 331
```
r = requests.post(
```
Access to secretsline 333
```
[Credential-related source omitted]
```
Access to secretsline 373
```
[Credential-related source omitted]
```
Access to secretsline 377
```
[Credential-related source omitted]
```
Access to secretsline 432
```
[Credential-related source omitted]
```
Access to secretsline 433
```
[Credential-related source omitted]
```
Access to secretsline 441
```
[Credential-related source omitted]
```
Access to secretsline 443
```
[Credential-related source omitted]
```
Access to secretsline 448
```
[Credential-related source omitted]
```
Access to secretsline 489
```
[Credential-related source omitted]
```
Access to secretsline 492
```
[Credential-related source omitted]
```
Access to secretsline 494
```
[Credential-related source omitted]
```
Network accessline 499
```
[Credential-related source omitted]
```

Network accessline 500

try:         r = requests.post(f"{p['base']}/responses", headers=H,                           json={"model": p["model"], "input": question,

Network accessline 501

r = requests.post(f"{p['base']}/responses", headers=H,

Network accessline 527

try:  # 降级：不联网的普通对话         r = requests.post(f"{p['base']}/chat/completions", headers=H,

Network accessline 528

r = requests.post(f"{p['base']}/chat/completions", headers=H,

Network accessline 543

for attempt in range(len(delays) + 1):         try:             r = requests.post(

Network accessline 544

try:             r = requests.post(                 f"{p['base']}/messages",

Network accessline 545
```
r = requests.post(
```
Access to secretsline 579
```
[Credential-related source omitted]
```
Access to secretsline 581
```
[Credential-related source omitted]
```
Network accessline 606
```
[Credential-related source omitted]
```

Network accessline 607

if p.get("key_env") == "__OPENROUTER__":         headers["HTTP-Referer"] = "https://github.com/aigclink/geolook"         headers["X-Title"] = "GeoLook GEO Toolchain"

Network accessline 608

headers["HTTP-Referer"] = "https://github.com/aigclink/geolook"

Network accessline 611

for attempt in range(len(delays) + 1):         try:             r = requests.post(

Network accessline 612

try:             r = requests.post(                 f"{p['base']}/chat/completions",

Network accessline 613
```
r = requests.post(
```

`skills/geolook/scripts/tasks.py`

Executable scriptline 1
```
Executable file
```

Network accessline 95

t = _t(next(seq), "P0", "页面技术", "修复前端渲染空壳页（SSR / 预渲染）",                "静态 HTML 无正文，多数 AI 抓取器看到的是空白页——国内官网最常见致命伤（method.md 可抓取性）",                "对受影响路由启用 SSR 或预渲染，确保 curl 拿到的 HTML 含完整正文",

Network accessline 96

"静态 HTML 无正文，多数 AI 抓取器看到的是空白页——国内官网最常见致命伤（method.md 可抓取性）",                "对受影响路由启用 SSR 或预渲染，确保 curl 拿到的 HTML 含完整正文",                "开发", "M", {"type": "auto", "check": "pages.static_text",

Network accessline 97

"对受影响路由启用 SSR 或预渲染，确保 curl 拿到的 HTML 含完整正文",

`skills/geolook/scripts/ui.html`

Network accessline 138

const esc=s=>String(s??'').replace(/[&<>"]/g,c=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;'}[c])); const pct=v=>v==null?'—':(v*100).toFixed(v>0&&v<0.095?1:0)+'%'; const api=async(u,o)=>{try{const r=await fetch(u,o);if(!r.ok)return{erro

Network accessline 139

const pct=v=>v==null?'—':(v*100).toFixed(v>0&&v<0.095?1:0)+'%'; const api=async(u,o)=>{try{const r=await fetch(u,o);if(!r.ok)return{error:`HTTP ${r.status}`};return await r.json().catch(()=>({error:'响应不是 JSON'}))}catch(e){return{error:'连接失败

Network accessline 140

const api=async(u,o)=>{try{const r=await fetch(u,o);if(!r.ok)return{error:`HTTP ${r.status}`};return await r.json().catch(()=>({error:'响应不是 JSON'}))}catch(e){return{error:'连接失败：服务未响应'}}};

Network accessline 1244

} async function editSheet(name){   const r=await fetch(`/files/${SLUG}/samples/${encodeURIComponent(name)}`);

Network accessline 1245

async function editSheet(name){   const r=await fetch(`/files/${SLUG}/samples/${encodeURIComponent(name)}`);   if(!r.ok){toast('采样表不存在','err');return}

Network accessline 1246

const r=await fetch(`/files/${SLUG}/samples/${encodeURIComponent(name)}`);

Access to secretsline 1499
```
[Credential-related source omitted]
```
Access to secretsline 1513
```
[Credential-related source omitted]
```

Network accessline 1522

const curSp=ai.search_provider||'';   modal(`<h4 style="font-size:17px">⚡ 302.AI 统一模式</h4>     <p class="muted" style="font-size:12.5px;margin:4px 0 12px;line-height:1.55">在 <a href="https://302.ai" target="_blank" style="color:var(--a300)"

Network accessline 1524

<p class="muted" style="font-size:12.5px;margin:4px 0 12px;line-height:1.55">在 <a href="https://302.ai" target="_blank" style="color:var(--a300)">302.AI</a> 控制台申请一把 API Key，即可解锁全部 9 个 LLM 平台 + 9 个搜索 provider。</p>

Access to secretsline 1556
```
[Credential-related source omitted]
```
Access to secretsline 1571
```
[Credential-related source omitted]
```
Access to secretsline 1580
```
[Credential-related source omitted]
```
Access to secretsline 1588
```
[Credential-related source omitted]
```
Access to secretsline 1607
```
[Credential-related source omitted]
```
Access to secretsline 1617
```
[Credential-related source omitted]
```

Network accessline 1629

const models=or.models||[];   modal(`<h4 style="font-size:17px">🌐 OpenRouter 统一模式</h4>     <p class="muted" style="font-size:12.5px;margin:4px 0 12px;line-height:1.55">在 <a href="https://openrouter.ai/keys" target="_blank" style="color:var(

Network accessline 1630

modal(`<h4 style="font-size:17px">🌐 OpenRouter 统一模式</h4>     <p class="muted" style="font-size:12.5px;margin:4px 0 12px;line-height:1.55">在 <a href="https://openrouter.ai/keys" target="_blank" style="color:var(--a300)">openrouter.ai/keys</a

Network accessline 1631

<p class="muted" style="font-size:12.5px;margin:4px 0 12px;line-height:1.55">在 <a href="https://openrouter.ai/keys" target="_blank" style="color:var(--a300)">openrouter.ai/keys</a> 申请一把 API Key，即可解锁 10 个 LLM 平台（含 MiniMax-M3 1M 多模态 + bytedan

Access to secretsline 1656
```
[Credential-related source omitted]
```
Access to secretsline 1673
```
[Credential-related source omitted]
```
Access to secretsline 1681
```
[Credential-related source omitted]
```

Network accessline 1717

<div class="card" style="box-shadow:0 0 0 1px var(--a700);padding:14px 16px;gap:6px;display:flex;flex-direction:column">             <div style="font-size:13.5px;font-weight:500">⚡ 302.AI 模式</div>             <div style="font-size:11.5px;co

Network accessline 1718

<div style="font-size:13.5px;font-weight:500">⚡ 302.AI 模式</div>             <div style="font-size:11.5px;color:var(--t400);line-height:1.6">1 把 Key 解锁 <b>9 LLM + 9 搜索 + 豆包</b>。<a href="https://302.ai" target="_blank" style="color:var(--a300

Network accessline 1719

<div style="font-size:11.5px;color:var(--t400);line-height:1.6">1 把 Key 解锁 <b>9 LLM + 9 搜索 + 豆包</b>。<a href="https://302.ai" target="_blank" style="color:var(--a300)">注册</a>，模型默认 2026-08 最新。</div>

Network accessline 1725

<div class="card" style="box-shadow:0 0 0 1px var(--a300);padding:14px 16px;gap:6px;display:flex;flex-direction:column">             <div style="font-size:13.5px;font-weight:500">🌐 OpenRouter 模式</div>             <div style="font-size:11.5p

Network accessline 1726

<div style="font-size:13.5px;font-weight:500">🌐 OpenRouter 模式</div>             <div style="font-size:11.5px;color:var(--t400);line-height:1.6">1 把 Key 解锁 <b>10 LLM（含 M3 多模态 + bytedance-seed 豆包）</b>。<a href="https://openrouter.ai/keys" targ

Network accessline 1727

<div style="font-size:11.5px;color:var(--t400);line-height:1.6">1 把 Key 解锁 <b>10 LLM（含 M3 多模态 + bytedance-seed 豆包）</b>。<a href="https://openrouter.ai/keys" target="_blank" style="color:var(--a300)">申请</a>，覆盖 Llama/Mistral/Qwen 等更多西方模型。</div

Network accessline 1745

</div>`       :`<div class="muted" style="font-size:12px">已配置引擎：国内 ${okCn} 个 · 海外 ${okGl} 个（可在「设置」增改）${(ST.obMkt||'both')!=='global'&&!okCn?'——注意国内市场尚无可用 Key':''}${(ST.obMkt||'both')!=='cn'&&!okGl?'——注意海外市场尚无可用 Key':''}</div>`}       <div c

Network accessline 1746

:`<div class="muted" style="font-size:12px">已配置引擎：国内 ${okCn} 个 · 海外 ${okGl} 个（可在「设置」增改）${(ST.obMkt||'both')!=='global'&&!okCn?'——注意国内市场尚无可用 Key':''}${(ST.obMkt||'both')!=='cn'&&!okGl?'——注意海外市场尚无可用 Key':''}</div>`}       <div class="field"><

Network accessline 1747

<div class="field"><label>官网域名 *</label><input id="ob-url" class="input" placeholder="https://example.com" value="${esc(ST.obUrl||'')}"></div>

`skills/geolook/scripts/verify.py`

Executable scriptline 1
```
Executable file
```

`skills/geolook/tests/init.py`

Executable scriptline 1
```
Executable file
```

`skills/geolook/tests/test_analytics.py`

Executable scriptline 1
```
Executable file
```

Network accessline 12

CFG = {     "brand": {"name": "Acme", "site": "https://www.acme.com", "aliases": []},

Network accessline 13

"brand": {"name": "Acme", "site": "https://www.acme.com", "aliases": []},

`skills/geolook/tests/test_audit.py`

Executable scriptline 1
```
Executable file
```

Network accessline 12

def make_page(url="https://example.com/", text="", wc=None, **kw):

Network accessline 34

def test_functional_page_exempt(self):         r = A.score_page(make_page(url="https://example.com/login", text=SPA_TEXT), [])

Network accessline 35

r = A.score_page(make_page(url="https://example.com/login", text=SPA_TEXT), [])

Network accessline 40

def test_functional_page_case_insensitive(self):         r = A.score_page(make_page(url="https://example.com/Auth/SignIn", text=SPA_TEXT), [])

Network accessline 41

r = A.score_page(make_page(url="https://example.com/Auth/SignIn", text=SPA_TEXT), [])

Network accessline 45

def test_normal_low_page_still_spa(self):         r = A.score_page(make_page(url="https://example.com/products", text=SPA_TEXT), [])

Network accessline 46

r = A.score_page(make_page(url="https://example.com/products", text=SPA_TEXT), [])

Network accessline 81

class TestNormalizeUrl(unittest.TestCase):     def test_strips_tracking_params(self):         u = G.normalize_url("https://example.com/", "/p?utm_source=x&fbclid=y&id=42&gclid=z")

Network accessline 82

def test_strips_tracking_params(self):         u = G.normalize_url("https://example.com/", "/p?utm_source=x&fbclid=y&id=42&gclid=z")         self.assertEqual(u, "https://example.com/p?id=42")

Network accessline 83

u = G.normalize_url("https://example.com/", "/p?utm_source=x&fbclid=y&id=42&gclid=z")

Network accessline 84

self.assertEqual(u, "https://example.com/p?id=42")

Network accessline 86

def test_strips_ref_spm(self):         u = G.normalize_url("https://example.com/", "https://example.com/a?ref=nav&spm=1.2.3&lang=zh")

Network accessline 87

u = G.normalize_url("https://example.com/", "https://example.com/a?ref=nav&spm=1.2.3&lang=zh")

Network accessline 88

self.assertEqual(u, "https://example.com/a?lang=zh")

Network accessline 90

def test_no_query_unchanged(self):         u = G.normalize_url("https://example.com/", "/about#team")

Network accessline 91

u = G.normalize_url("https://example.com/", "/about#team")

Network accessline 92

self.assertEqual(u, "https://example.com/about")

Network accessline 109

pages = []         for i in range(35):             pages.append({"url": f"https://example.com/p{i}", "score": 50,

Network accessline 110

for i in range(35):             pages.append({"url": f"https://example.com/p{i}", "score": 50,                           "word_count": 500, "jsonld_types": ["Article"],

Network accessline 111

pages.append({"url": f"https://example.com/p{i}", "score": 50,

Network accessline 117

"pages": pages, "avg_score": 50,                  "block_gap": [{"block": "定义", "missing_pages": 35, "total": 35}]}         cfg = {"market": "cn", "brand": {"name": "X", "site": "https://example.com"}}

Network accessline 118

"block_gap": [{"block": "定义", "missing_pages": 35, "total": 35}]}         cfg = {"market": "cn", "brand": {"name": "X", "site": "https://example.com"}}         out = T.from_audit(audit, cfg, iter(f"T-{i:03d}" for i in range(1, 99)))

Network accessline 119

cfg = {"market": "cn", "brand": {"name": "X", "site": "https://example.com"}}

Network accessline 127

class TestAvgScore(unittest.TestCase):     def test_zero_score_200_pages_counted(self):         pages = [make_page(url="https://example.com/a", text=SPA_TEXT),

Network accessline 128

def test_zero_score_200_pages_counted(self):         pages = [make_page(url="https://example.com/a", text=SPA_TEXT),                  make_page(url="https://example.com/b", text=SPA_TEXT, status=404)]

Network accessline 129

pages = [make_page(url="https://example.com/a", text=SPA_TEXT),

Network accessline 130

make_page(url="https://example.com/b", text=SPA_TEXT, status=404)]

Network accessline 160

(pdir / "evidence").mkdir(parents=True)                 (pdir / "geo.json").write_text(json.dumps(                     {"brand": {"name": "T", "site": "https://example.com"}, "market": "cn"},

Network accessline 161

(pdir / "geo.json").write_text(json.dumps(                     {"brand": {"name": "T", "site": "https://example.com"}, "market": "cn"},                     ensure_ascii=False), "utf-8")

Network accessline 162

{"brand": {"name": "T", "site": "https://example.com"}, "market": "cn"},

Network accessline 163

ensure_ascii=False), "utf-8")                 pages = [                     make_page(url="https://example.com/ja/", text=ja_text, language="zh", wc=200),

Network accessline 164

pages = [                     make_page(url="https://example.com/ja/", text=ja_text, language="zh", wc=200),                     make_page(url="https://example.com/zh/", text=zh_text, language="zh", wc=200),

Network accessline 165

make_page(url="https://example.com/ja/", text=ja_text, language="zh", wc=200),

Network accessline 166

make_page(url="https://example.com/zh/", text=zh_text, language="zh", wc=200),

`skills/geolook/tests/test_bootstrap.py`

Executable scriptline 1
```
Executable file
```

Network accessline 33

BASE_CFG = {     "brand": {"name": "测试品牌", "aliases": [], "site": "https://t.example.com"},

Network accessline 34

"brand": {"name": "测试品牌", "aliases": [], "site": "https://t.example.com"},

Network accessline 45

class TestHomepageFirst(WorkDirCase):     def test_root_is_first_page_not_highest_scored(self):         home = "https://t.example.com/"

Network accessline 46

def test_root_is_first_page_not_highest_scored(self):         home = "https://t.example.com/"         deep = "https://t.example.com/blog/hot-article"

Network accessline 47
```
home = "https://t.example.com/"
```

Network accessline 48

deep = "https://t.example.com/blog/hot-article"

`skills/geolook/tests/test_crawl.py`

Executable scriptline 1
```
Executable file
```

Network accessline 16

self.status_code = status         self.headers = {"Content-Type": ctype}         self.url = "http://x.test/"

Network accessline 17

self.headers = {"Content-Type": ctype}         self.url = "http://x.test/"         self._body = body

Network accessline 18
```
self.url = "http://x.test/"
```

Network accessline 31

with mock.patch.object(G.requests, "get", side_effect=responses) as get, \              mock.patch.object(G.time, "sleep"):             res = G.fetch("http://x.test/", retries=retries)

Network accessline 32

mock.patch.object(G.time, "sleep"):             res = G.fetch("http://x.test/", retries=retries)         return res, get.call_count

Network accessline 33

res = G.fetch("http://x.test/", retries=retries)

`skills/geolook/tests/test_deliver.py`

Executable scriptline 1
```
Executable file
```

Network accessline 30

pdir.mkdir(parents=True)     (pdir / "geo.json").write_text(json.dumps(         {"brand": {"name": "X", "site": "https://x.com"}, "market": "cn"},

Network accessline 31

(pdir / "geo.json").write_text(json.dumps(         {"brand": {"name": "X", "site": "https://x.com"}, "market": "cn"},         ensure_ascii=False), "utf-8")

Network accessline 32

{"brand": {"name": "X", "site": "https://x.com"}, "market": "cn"},

`skills/geolook/tests/test_geolib.py`

Executable scriptline 1
```
Executable file
```

`skills/geolook/tests/test_jobs.py`

Executable scriptline 1
```
Executable file
```

`skills/geolook/tests/test_report.py`

Executable scriptline 1
```
Executable file
```

Network accessline 9

CFG = {"brand": {"name": "Acme", "site": "https://www.acme.com"}, "market": "both"}

`skills/geolook/tests/test_sample.py`

Executable scriptline 1
```
Executable file
```

Network accessline 10

CFG = {     "brand": {"name": "AIGCLINK定制家", "aliases": ["定制家"], "site": "https://aigclink.example.com"},

Network accessline 11

"brand": {"name": "AIGCLINK定制家", "aliases": ["定制家"], "site": "https://aigclink.example.com"},

Network accessline 50

def test_latin_alias_requires_boundary(self):         cfg = {"brand": {"name": "灵眸", "aliases": ["AIGC"], "site": "https://x.example.com"},

Network accessline 51

cfg = {"brand": {"name": "灵眸", "aliases": ["AIGC"], "site": "https://x.example.com"},

Access to secretsline 123
```
[Credential-related source omitted]
```

`skills/geolook/tests/test_tasks.py`

Executable scriptline 1
```
Executable file
```

Network accessline 30

CFG = {"brand": {"name": "X", "site": "https://x.com"},

Network accessline 81

(pdir / "metrics").mkdir(parents=True)             (pdir / "geo.json").write_text(json.dumps(                 {"brand": {"name": "X", "site": "https://x.com"},

Network accessline 82

(pdir / "geo.json").write_text(json.dumps(                 {"brand": {"name": "X", "site": "https://x.com"},                  "market": "cn", "targets": {"mention_rate": 0.3}}, ensure_ascii=False), "utf-8")

Network accessline 83

{"brand": {"name": "X", "site": "https://x.com"},

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 20 facts

Allows Bash without restrictions, though it has no scripts or shell blocksgeo-content-optimizer/SKILL.md:9High confidence
Contacts schema.org, which SKILL.md, the README and the plugin manifest do not mentiongeo-optimizer/scripts/schema_generator.py:13High confidence
Contacts api.moonshot.cn, which SKILL.md, the README and the plugin manifest do not mentiongeo-optimizer/scripts/visibility_tester.py:66High confidence
Contacts api.302ai.cn, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/dashboard.py:545High confidence
Contacts openrouter.ai, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/dashboard.py:608High confidence
Contacts schema.org, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/generate.py:137High confidence
Contacts api.github.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/publish.py:110High confidence
Contacts api.weixin.qq.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/publish.py:140High confidence
Contacts open.bigmodel.cn, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:37High confidence
Contacts ark.cn-beijing.volces.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:50High confidence
Contacts api.deepseek.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:59High confidence
Contacts api.moonshot.cn, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:68High confidence
Contacts api.minimaxi.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:77High confidence
Contacts generativelanguage.googleapis.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:87High confidence
Contacts api.openai.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:96High confidence
Contacts api.anthropic.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:107High confidence
Contacts api.x.ai, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:116High confidence
Contacts api.302ai.cn, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:149High confidence
Contacts openrouter.ai, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:180High confidence
Contacts github.com, which SKILL.md, the README and the plugin manifest do not mentiongeolook/scripts/sample.py:608High confidence

Signal confidence: 480 facts

Network access in code of documentationgeo-content-optimizer/README.md:21Low confidence
Network access in code of documentationgeo-content-optimizer/README.md:29Low confidence
Network access in code of documentationgeo-content-optimizer/README.md:30Low confidence
Network access in code of documentationgeo-content-optimizer/README.md:33Low confidence
Network access in code of documentationgeo-content-optimizer/README.md:34Low confidence
Network access in code of documentationgeo-content-optimizer/README.md:35Low confidence
Broad permissions in the frontmatter of the SKILL.mdgeo-content-optimizer/SKILL.md:1High confidence
Network access in prose of the SKILL.mdgeo-content-optimizer/SKILL.md:30Low confidence
Network access in prose of documentationgeo-optimizer/README.md:203Low confidence
Network access in prose of the SKILL.mdgeo-optimizer/SKILL.md:165Low confidence
Network access in prose of documentationgeo-optimizer/references/best-practices.md:27Low confidence
Network access in prose of documentationgeo-optimizer/references/best-practices.md:28Low confidence
Network access in prose of documentationgeo-optimizer/references/best-practices.md:29Low confidence
Network access in prose of documentationgeo-optimizer/references/geo-framework.md:23Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:23Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:24Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:49Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:50Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:74Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:75Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:129Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:130Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:161Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:162Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:186Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:187Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:204Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:205Low confidence
Network access in code of documentationgeo-optimizer/references/schema-templates.md:225Low confidence
Executable script in code of a file that runsgeo-optimizer/scripts/geo_report_generator.py:1High confidence
Executable script in code of a file that runsgeo-optimizer/scripts/readability_checker.py:1High confidence
Executable script in code of a file that runsgeo-optimizer/scripts/schema_generator.py:1High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:11High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:12High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:13High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:41High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:42High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:43High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:51High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:52High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:53High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:113High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:114High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:115High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:133High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:134High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:135High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:154High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:155High confidence
Network access in code of a file that runsgeo-optimizer/scripts/schema_generator.py:156High confidence

and 430 more

Only the first 500 facts are listed.

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Native	Frontmatter field argument-hint in skills/geo-content-optimizer/SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md skills/geo-content-optimizer/SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md skills/geo-content-optimizer/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md skills/geo-content-optimizer/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md skills/geo-content-optimizer/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md skills/geo-content-optimizer/SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
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Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

liangdabiao/GEO-Content-Optimizer-Skill

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skills/geo-content-optimizer/SKILL.md

skills/geo-optimizer/SKILL.md

skills/geolook/SKILL.md

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Individual skills in this repository

How it works

geo-content-optimizer

Frontmatter

SKILL.md

Reference documents

The playbook

Files

geo-optimizer

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

geo

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

skills/geo-content-optimizer/README.md

skills/geo-content-optimizer/SKILL.md

skills/geo-optimizer/README.md

skills/geo-optimizer/SKILL.md

skills/geo-optimizer/references/best-practices.md

skills/geo-optimizer/references/geo-framework.md

skills/geo-optimizer/references/schema-templates.md

skills/geo-optimizer/scripts/geo_report_generator.py

skills/geo-optimizer/scripts/readability_checker.py

skills/geo-optimizer/scripts/schema_generator.py

skills/geo-optimizer/scripts/visibility_tester.py

skills/geolook/.env.example

skills/geolook/.gitignore

skills/geolook/README.md

skills/geolook/SKILL.md

skills/geolook/docs/302ai-integration-research.md

skills/geolook/docs/ARCHITECTURE.md

skills/geolook/references/cn-platforms.md

skills/geolook/references/cn-source-ranking.md

skills/geolook/references/content-patterns.md

skills/geolook/references/global-platforms.md

skills/geolook/references/known-issues.md

skills/geolook/references/sources.md

skills/geolook/scripts/analytics.py

skills/geolook/scripts/audit.py

skills/geolook/scripts/benchmark.py

skills/geolook/scripts/blueprint.py

skills/geolook/scripts/bootstrap.py

skills/geolook/scripts/crawl.py

skills/geolook/scripts/dashboard.py

skills/geolook/scripts/deliver.py

skills/geolook/scripts/deliverables.py

skills/geolook/scripts/generate.py

skills/geolook/scripts/geo.py

skills/geolook/scripts/geolib.py

skills/geolook/scripts/jobs.py

skills/geolook/scripts/publish.py

skills/geolook/scripts/report.py

skills/geolook/scripts/sample.py

skills/geolook/scripts/tasks.py

skills/geolook/scripts/ui.html

skills/geolook/scripts/verify.py

skills/geolook/tests/__init__.py

skills/geolook/tests/test_analytics.py

skills/geolook/tests/test_audit.py

skills/geolook/tests/test_bootstrap.py

skills/geolook/tests/test_crawl.py

`skills/geo-content-optimizer/SKILL.md`

`skills/geo-optimizer/SKILL.md`

`skills/geolook/SKILL.md`

`skills/geo-content-optimizer/README.md`

`skills/geo-content-optimizer/SKILL.md`

`skills/geo-optimizer/README.md`

`skills/geo-optimizer/SKILL.md`

`skills/geo-optimizer/references/best-practices.md`

`skills/geo-optimizer/references/geo-framework.md`

`skills/geo-optimizer/references/schema-templates.md`

`skills/geo-optimizer/scripts/geo_report_generator.py`

`skills/geo-optimizer/scripts/readability_checker.py`

`skills/geo-optimizer/scripts/schema_generator.py`

`skills/geo-optimizer/scripts/visibility_tester.py`

`skills/geolook/.env.example`

`skills/geolook/.gitignore`

`skills/geolook/README.md`

`skills/geolook/SKILL.md`

`skills/geolook/docs/302ai-integration-research.md`

`skills/geolook/docs/ARCHITECTURE.md`

`skills/geolook/references/cn-platforms.md`

`skills/geolook/references/cn-source-ranking.md`

`skills/geolook/references/content-patterns.md`

`skills/geolook/references/global-platforms.md`

`skills/geolook/references/known-issues.md`

`skills/geolook/references/sources.md`

`skills/geolook/scripts/analytics.py`

`skills/geolook/scripts/audit.py`

`skills/geolook/scripts/benchmark.py`

`skills/geolook/scripts/blueprint.py`

`skills/geolook/scripts/bootstrap.py`

`skills/geolook/scripts/crawl.py`

`skills/geolook/scripts/dashboard.py`

`skills/geolook/scripts/deliver.py`

`skills/geolook/scripts/deliverables.py`

`skills/geolook/scripts/generate.py`

`skills/geolook/scripts/geo.py`

`skills/geolook/scripts/geolib.py`

`skills/geolook/scripts/jobs.py`

`skills/geolook/scripts/publish.py`

`skills/geolook/scripts/report.py`

`skills/geolook/scripts/sample.py`

`skills/geolook/scripts/tasks.py`

`skills/geolook/scripts/ui.html`

`skills/geolook/scripts/verify.py`

`skills/geolook/tests/init.py`

`skills/geolook/tests/test_analytics.py`

`skills/geolook/tests/test_audit.py`

`skills/geolook/tests/test_bootstrap.py`

`skills/geolook/tests/test_crawl.py`

`skills/geolook/tests/test_deliver.py`

`skills/geolook/tests/test_geolib.py`

`skills/geolook/tests/test_jobs.py`

`skills/geolook/tests/test_report.py`

`skills/geolook/tests/test_sample.py`

`skills/geolook/tests/test_tasks.py`