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Agent Skill · 研究检索

geo-compare(地理比较)

geo-compare 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

geo-compare 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 25,751。

总安装 3,707周安装 156GitHub Stars 6,932下载 1,298核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:geo-compare(地理比较)
来源仓库:https://github.com/zubair-trabzada/geo-seo-claude
仓库路径:skills/geo-compare
安装命令:
npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-compare
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-compare

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

geo-compare 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装使用。安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/geo-compare

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-com…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

geo-compare 怎么安装?

在终端执行 npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-compare。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

geo-compare 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

geo-compare 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

geo-compare 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

geo-compare 用的人多吗?

公开数据是累计安装 3,707 次,近一周安装 156 次,下载 1,298 次,GitHub 6,932 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

geo-compare 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 6,932 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
geo-compare

地理比较 · 本页

3,7076,932只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

GEO Monthly Delta Report Generator

Purpose

The single most powerful retention tool for a GEO agency: show clients exactly what improved since they started working with you. Every point gained on the GEO score is proof of value. This skill generates the "here's your progress" report.


Commands

/geo compare <domain>
/geo compare <baseline-file> <current-file>
/geo compare electron-srl.com --month march-2026

Examples:

/geo compare electron-srl.com
/geo compare ~/.geo-prospects/audits/electron-srl.com-2026-01-15.md ~/.geo-prospects/audits/electron-srl.com-2026-03-12.md

Workflow

Step 1: Find Audit Files

If only domain is provided:

  1. Look in ~/.geo-prospects/audits/ for files matching <domain>-*.md
  2. Sort by date
  3. Use oldest as baseline, newest as current
  4. If only one file exists: use it as baseline, run a fresh quick audit as current
  5. If no files exist: suggest running /geo prospect audit <domain> first

Step 2: Parse Both Audits

Extract from each audit file:

  • Overall GEO Score
  • Per-category scores (6 categories)
  • Per-platform scores (5 platforms)
  • AI crawler status (14 crawlers)
  • Critical issues list
  • Action items list with status

Step 3: Calculate Deltas

For each metric:

  • Delta = Current - Baseline
  • Trend = ▲ (improved), ▼ (declined), ── (unchanged)
  • Color coding in report: green (+), red (-), gray (=)

Step 4: Generate Monthly Report

Output to ~/.geo-prospects/reports/<domain>-monthly-<date>.md


Report Template

Generate the following document:

# GEO Monthly Progress Report
## [COMPANY NAME] — [MONTH YEAR]

**Reporting period:** [BASELINE DATE] → [CURRENT DATE]
**Prepared by:** [AGENCY NAME]
**Report reference:** GEO-MONTHLY-[DOMAIN]-[YYMMDD]

---

## Executive Summary

[2-3 sentences: What improved, what's the trend, what to focus on next month.]

Example: "Electron Srl's GEO Score improved from 32 to 44 this month (+12 points),
placing the site firmly in the 'Below Average' tier and on track to reach 'Moderate'
by May. The biggest wins were AI crawler access (+3 crawlers now allowed) and schema
implementation (+Organization and LocalBusiness schemas live). Next month's focus is
content citability — the highest-weighted remaining gap."

---

## GEO Score Progress

OVERALL GEO SCORE

Baseline [▓▓▓▓░░░░░░░░░░░░░░░░] 32/100 (Critical) Current [▓▓▓▓▓▓▓▓░░░░░░░░░░░░] 44/100 (Below Average) Change ▲ +12 points (+37.5%)

Target: 65/100 by Month 6 (on track ✓)

---

## Score Breakdown: Before vs. After

| Category | Baseline | Current | Change | Trend |
|----------|---------|---------|--------|-------|
| AI Citability & Visibility | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Brand Authority Signals | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Content Quality & E-E-A-T | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Technical Foundations | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Structured Data | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Platform Optimization | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| **TOTAL** | **[X]/100** | **[X]/100** | **[+/-X]** | **[▲/▼]** |

---

## Platform Readiness: Before vs. After

| AI Platform | Baseline | Current | Change |
|-------------|---------|---------|--------|
| Google AI Overviews | [X]/100 | [X]/100 | [+/-X] |
| ChatGPT Web Search | [X]/100 | [X]/100 | [+/-X] |
| Perplexity AI | [X]/100 | [X]/100 | [+/-X] |
| Google Gemini | [X]/100 | [X]/100 | [+/-X] |
| Bing Copilot | [X]/100 | [X]/100 | [+/-X] |

---

## AI Crawler Access Changes

| Crawler | Baseline | Current | Change |
|---------|---------|---------|--------|
| GPTBot (ChatGPT) | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |
| ClaudeBot (Anthropic) | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |
| PerplexityBot | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |
| Google-Extended (Gemini) | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |
| Bingbot | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |

[Show only crawlers that changed, or all if few crawlers.]

---

## Action Plan Progress

### Quick Wins — Status Update

| # | Action | Assigned | Status | Impact |
|---|--------|---------|--------|--------|
| 1 | Allow all AI crawlers in robots.txt | Client dev | ✅ Done | +3 crawlers |
| 2 | Add Organization schema to homepage | Client dev | ✅ Done | Schema score +15 |
| 3 | Create llms.txt | Agency | ✅ Done | AI visibility +8 |
| 4 | Add author bylines to all articles | Client content | 🔄 In Progress | — |
| 5 | Fix meta descriptions (47 pages missing) | Client dev | ❌ Not started | — |

**Quick wins completed: [X]/[Y] ([%])**

### Medium-Term — Status Update

| # | Action | Target Month | Status |
|---|--------|-------------|--------|
| 1 | Rewrite top 10 pages with Q&A structure | Month 2 | 🔄 3/10 done |
| 2 | E-E-A-T: Create author pages | Month 2 | ❌ Not started |
| 3 | Register Bing Webmaster Tools | Month 1 | ✅ Done |
| 4 | Implement IndexNow | Month 2 | 🔄 In Progress |

### Strategic — Status Update

| # | Action | Target | Status |
|---|--------|--------|--------|
| 1 | Wikipedia entity creation | Month 4 | 📋 Planned |
| 2 | YouTube channel launch | Month 3 | 📋 Planned |
| 3 | Reddit presence (industry subs) | Month 3 | 📋 Planned |

---

## This Month's Wins

> Use this section to celebrate — clients need to see the value clearly.

✅ **[WIN 1]:** [Specific, tangible result — e.g., "GPTBot and ClaudeBot are now allowed. ChatGPT can now crawl and cite your content."]
✅ **[WIN 2]:** [e.g., "Organization schema implemented on homepage. Your brand entity is now machine-readable."]
✅ **[WIN 3]:** [e.g., "llms.txt created and deployed at electron-srl.com/llms.txt — one of only ~12% of sites in your industry to have this."]

---

## New Issues Discovered

> Issues found in current audit that weren't in baseline.

⚠️ **[ISSUE 1]:** [What it is, what it means, how we'll fix it]
⚠️ **[ISSUE 2]:** [What it is, what it means, how we'll fix it]

---

## Next Month Focus

### Priority Actions for [NEXT MONTH]:

| Priority | Action | Owner | Expected Impact |
|----------|--------|-------|----------------|
| 1 | [Highest ROI action] | [Agency/Client] | +[X] GEO points |
| 2 | [Second priority] | [Agency/Client] | +[X] GEO points |
| 3 | [Third priority] | [Agency/Client] | +[X] GEO points |

**Target GEO Score next month:** [CURRENT + estimated gain]/100

---

## 6-Month Trajectory

| Month | Date | Score | Delta | Key Achievement |
|-------|------|-------|-------|----------------|
| Baseline | [Date] | [Score] | — | Initial audit |
| Month 1 | [Date] | [Score] | [+X] | Quick wins implemented |
| Month 2 | [Date] | [Score] | [+X] | *Current month* |
| Month 3 | [Date] | — | — | Content citability |
| Month 4 | — | — | — | Brand authority |
| Month 5 | — | — | — | Strategic initiatives |
| Month 6 | — | **Target: [X]** | — | Full review |

[Only fill rows that have happened. Show projected rows as "—"]

---

## Estimated Business Impact

Based on the [X]-point improvement this month:

- **AI citation likelihood:** Increased by approximately [X]%
- **Crawlers with access:** [X]/14 → [Y]/14 (better coverage on [platforms])
- **Estimated monthly AI-referred traffic improvement:** +[X]% (conservative)
- **Traffic value at current conversion rates:** +€[X]/month in organic value

*Note: Full traffic impact from GEO changes typically takes 4-8 weeks to materialize
as AI platforms re-index and update their knowledge bases.*

---

*GEO Monthly Report — [COMPANY NAME] — [DATE]*
*Questions or comments? [CONTACT EMAIL]*

Delta Calculation Logic

When parsing two audit files, look for these patterns:

Score markers to extract:
- "GEO Score: XX/100"
- "Overall Score: XX"
- "AI Citability: XX/100"
- "Brand Authority: XX/100"
- "Technical: XX/100"
- "Schema: XX/100"
- "Platform: XX/100"
- "Content: XX/100"
- "GPTBot: Allowed/Blocked"
- "ClaudeBot: Allowed/Blocked"

If exact scores are not found in audit files, use contextual analysis of the written findings to estimate approximate scores based on issues described.


Trend Interpretation

DeltaTrend SymbolMeaning
+5 or more▲▲Strong improvement
+1 to +4▲Improvement
0──No change
-1 to -4▼Slight decline
-5 or more▼▼Significant decline — needs discussion

A decline is not necessarily bad — it can mean new issues were discovered in the fresh audit that weren't visible before. Frame declines as "newly discovered opportunities."


Output

  1. Save report to ~/.geo-prospects/reports/<domain>-monthly-<YYYY-MM>.md
  2. Print confirmation with key stats: ✓ Monthly report generated: ~/.geo-prospects/reports/electron-srl.com-monthly-2026-03.md SUMMARY: GEO Score: 32 → 44 (+12 points) ▲ Quick wins completed: 3/5 (60%) New issues found: 2 (minor) On track for Month 6 target: YES (65/100)
  3. Suggest next action: "Share with client or run /geo report-pdf for a visual version"

平台分布

Codex

34.03%
按下载量换算442

Claude

29.92%
按下载量换算388

Cursor

18.44%
按下载量换算239

Gemini CLI

8.78%
按下载量换算114

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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