gr-seo-patrol

gr-seo-patrol is a skill for Claude Code from Gingiris-1031/gingiris-skills. It costs 159 tokens per session (3,449 once invoked), scanned A, original, MIT.

An automated SEO and GEO checking routine. SEO helps pages appear in search engines; GEO checks how they may be found and understood by AI-based search tools.

In plain words
What is it for?
Use it to create SEO reports, investigate ranking drops, check Google indexing and GA4 tags, test llms.txt, fix canonical page links, and update articles for social sharing.
Why use it?
It brings keyword rankings, indexing, analytics tags, page links, and related page checks into one recurring process.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter.

Good fit Use it to create SEO reports, investigate ranking drops, check Google indexing and GA4 tags, test llms.txt, fix canonical page links, and update articles for social sharing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gingiris-1031/gingiris-skills/gr-seo-patrol
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Gingiris-1031/gingiris-skills --skill gr-seo-patrol
Clone the repo
git clone --depth 1 https://github.com/Gingiris-1031/gingiris-skills

Made for: Claude Code.

Its marketplace also offers this one on its own, as the plugin gr-seo-patrol/plugin install gr-seo-patrol after adding the marketplace above.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gr-seo-patrol

README.md
[![agentmods](https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gr-seo-patrol/github.svg)](https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gr-seo-patrol)
Your own site
<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gr-seo-patrol"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gr-seo-patrol/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gr-seo-patrol

Your own site · 80×15
<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gr-seo-patrol"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gr-seo-patrol.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,449 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 105
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00159 $0.03449
Opus 5 $0.00079 $0.01724
Sonnet 5 $0.00032 $0.00690
Haiku 4.5 $0.00016 $0.00345

Measured 11d ago against content hash 09b19f6ec875, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

gr-seo-patrol scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 14 executable files (gr-seo-patrol/scripts/canonical-fix.py, gr-seo-patrol/scripts/check-page.py, gr-seo-patrol/scripts/check-schema.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

import urllib.request, json
skills/gr-seo-patrol/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gr-seo-patrol — SEO/GEO 日常巡逻

什么时候用

场景 动作
"跑今日 SEO 日报" 执行完整巡逻(scripts/daily-report.py)
"某关键词排名掉了" 单词诊断(Claude 直接执行下方诊断流程)
"修 canonical" 批量合并(scripts/canonical-fix.py)
"救一下这篇文章" 社媒救援(scripts/rescue-post.py)—— title 前置 + 3 个高权重内链
"检查 GA4 部署" 扫 HTML 里的 G-XXXXX tag
"查 llms.txt" HTTP 200 + 字节数

核心流程

1. 日报模式

输入:无(全自动) 或 指定关键词清单 输出:

  • 关键词排名 diff 表(今日 vs 昨日基线)
  • Google 索引数
  • llms.txt 状态
  • GA4 覆盖状态
  • 🚨 异常提示(跌出 top 100、整体刷新)

2. 单词诊断

输入:1 个关键词 过程:

  1. 跑 4-5 个 long-tail 变体 SERP
  2. 检查目标 URL 是否 HTTP 200
  3. site: 查询确认是否索引
  4. 对比 3 天前的数据(如果有历史)
  5. 2026-06-24 新增检查
    • 确认关键词在 volume 300–1,000 / KD 5–35 区间(若不在,标注为低优先级)
    • 检查该页面 title 是否含 best/free/top/guide+年份(CTR 公式)
    • 检查该页面内链密度是否超 2-3/段
    • 确认页面有 BreadcrumbList schema
    • 确认 last-updated 日期已展示(freshness 信号) 输出:雪崩 / 个别 / SERP 刷新 / 死链 四选一,附 2026 合规评分

3. Canonical 批量修复

输入:同主题的 N 篇文章 + 1 个 master URL 过程:替换每篇 frontmatter 里的 canonical_url: → master,GitHub API PUT 安全护栏:

  • 只改 _posts/ 下的 .md
  • 每篇 commit 独立(方便回滚)
  • 跳过 ja/ko(hreflang 替代,保持 self-canonical)

4. 社媒救援

输入:1 个雪崩 URL 动作:

  • a. 重写 title:主关键词前置,长度 ≤ 60 字,必须含 best/free/top/guide+年份(2026-06-24 CTR 公式)
  • b. 重写 meta description:关键词 rephrase(如 "figma alternative" → "the alternative to Figma")
  • c. 从 top-3 高权重文章注入内链(带 anchor text = 目标关键词),每段 ≤ 2-3 个内链上限
  • d. 主动添加 1-2 个竞品 blog 外链(提信用分 → 提 ranking)
  • e. 检查并添加/更新【最后更新日期】(freshness 信号)
  • f. 确认 BreadcrumbList schema 已配置
  • g. 记录修改前后到日志

API 依赖

Service Env var 用途
DataForSEO DATAFORSEO_B64 SERP 查询
GitHub PAT GITHUB_TOKEN 读写 _posts/

完整 key 模板见 docs/api-keys-template.md


SERP 查询模板

import urllib.request, json
def serp(kw, loc=2840, lang="en", depth=100):
    key = os.environ["DATAFORSEO_B64"]
    payload = json.dumps([{"keyword": kw, "location_code": loc,
                           "language_code": lang, "device": "desktop",
                           "depth": depth}]).encode()
    req = urllib.request.Request(
        "https://api.dataforseo.com/v3/serp/google/organic/live/advanced",
        data=payload,
        headers={"Authorization": f"Basic {key}",
                 "Content-Type": "application/json"})
    with urllib.request.urlopen(req, timeout=40) as r:
        return json.loads(r.read())

Read the full file on GitHub · 267 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 267 lines · 159 tokens per session scan A 09b19f6ec875

Subscribe to this mod's changes

gr-seo-patrol is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (79 stars, last pushed 6d ago), licensed MIT. It adds 159 tokens to every session and 3,449 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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