Gr Seo Patrol

gr-seo-patrol — SEO/GEO 日常巡逻

什么时候用

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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. 用 site: 查询确认是否索引
4. 对比 3 天前的数据（如果有历史） 输出：雪崩 / 个别 / SERP 刷新 / 死链 四选一

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
• b. 从 top-3 高权重文章注入内链（带 anchor text = 目标关键词）
• c. 记录修改前后到日志

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API 依赖

完整 key 模板见 docs/api-keys-template.md。

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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())

常用 location_code：

• 2840 US / 2826 UK / 2392 JP / 2410 KR / 2156 CN（无效，中国不返回）

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执行脚本

实际可执行的脚本在 scripts/ 下：

• daily-report.py — 完整日报
• canonical-fix.py — canonical 批量合并
• rescue-post.py — 社媒文章救援
• diag-keyword.py — 单关键词诊断（roadmap，暂用下方「单词诊断」流程替代）

每个脚本独立可跑。调用时优先用 Bash 工具，不要重写脚本。

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输出规范

1. 先给表格，再给结论
2. 差异用箭头：#6 ↑ / #19 ↓↓
3. 超过 3 项异常 → 单独开"🚨 异常"一节
4. 所有排名必须带 location_code，不要假设

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级联推荐

• 发现 cannibalization（同一关键词多篇排名接近） → gr-blog-post 做 canonical 整合
• 发现 N 个关键词同日跌出 top 100 → 先等 24h，不要硬改内容
• 发现新关键词机会（长尾 top 30） → gr-blog-post 扩写

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反模式

• ❌ 不要用 grep / find 扫 _posts/，改用 GitHub Contents API
• ❌ 不要在生产环境直接 git push —— 用 Contents API 的 PUT
• ❌ 不要一次 serp 50 个关键词 —— 批量过大易触发 rate limit，按 6-10 个一批
• ❌ canonical 改到 master 后不要立刻 force Google 重新索引 —— 等 3-7 天自然爬取

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Monthly Full-Site Audit Workflow

Validated 2026-05-07 on 58 pages: caught 43 SERP-truncating titles + 36 schema warns + 27 stop-word slugs in a single 30-min pass. Single layout-level fix (commit 24a0410e) resolved 20 of 43 title issues.

Run once per month before phase2-monthly-checkpoint. Output: HTML report + machine-readable findings.json archived to ~/Downloads/seo-audit/audit-{YYYY-MM-DD}.json.

Stage 1 — Discovery (5 min)

import urllib.request, re
sm = urllib.request.urlopen("https://gingiris.tools/sitemap.xml").read().decode()
urls = [u for u in re.findall(r"([^<]+)", sm) if "/blog/" in u]
# typically 50-70 URLs

Stage 2 — Parallel Audit (20 min for 60 pages, 4 threads)

Use the adopted seo-audit-skill scripts in scripts/:

# For each URL — run 2 scripts in parallel
python3 scripts/check-page.py URL --timeout 20    # title, H1, meta, canonical, slug, alt, keyword placement
python3 scripts/check-schema.py URL --timeout 20  # JSON-LD validation

Or batch with Python's concurrent.futures.ThreadPoolExecutor(max_workers=4). Don't go higher than 4 — GitHub Pages CDN throttles aggressive parallel hits.

Each script outputs structured JSON envelope:

{"field": {"status": "pass|warn|fail|info", "detail": "...", "llm_review_required": false}}

Stage 3 — Aggregate Findings

Bucket by category:

• Title length > 70 chars (SERP truncation risk)
• H1 length > 70 chars (mobile readability)
• Meta description < 80 or > 170 chars
• Schema warns by @type (BlogPosting, Article, Organization)
• Canonical issues (mismatch with final URL)
• Slug issues (stop words, uppercase, missing keyword)
• Image alt text missing on content images

Save aggregated counts + per-issue URL lists to findings.json.

Stage 4 — Layered Fix Strategy (HIGH ROI ORDER)

1️⃣ Layout-level fixes first (1 commit, fixes 20+ pages):

• Schema bugs in _layouts/default.html
• Site-name suffix in `` tag
• Missing dateModified from last_modified_at frontmatter
• Organization / Publisher / contactPoint completeness

2️⃣ Config-level fixes (1 commit, fixes site-wide):

• _config.yml — logo URL (must be absolute), twitter, social, author structure

3️⃣ Per-article batch fixes (1 commit per file, parallelizable):

• Trim long titles while preserving keyword (target ≤ 70 chars, ideal 50-60)
• Trim long H1s (target ≤ 70 chars)
• Expand short meta descriptions (target 120-160 chars)
• Add missing Citable Statistics blocks for top GSC-impression pages

4️⃣ Skip these (low ROI):

• Slug stop words (changing breaks 301)
• Old articles with <50 imp/month (low traffic = low fix priority)

Stage 5 — Verify (after Jekyll rebuild ~60-90s)

Re-run check-schema.py on a sample page. Confirm status: pass for at least: Article · BlogPosting · Organization · FAQPage

Stage 6 — Archive

Commit findings.json to ~/Downloads/seo-audit/audit-{YYYY-MM-DD}.json for trend tracking. Add 2-5 atoms documenting any new lessons learned.

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HARD RULE (anti-hallucination guardrail)

Adopted from JeffLi1993/seo-audit-skill — strict whitelist pattern.

⛔ Output ONLY the checks defined in the audit script's JSON envelope.

• Do NOT add "bonus" checks not in the script output
• Do NOT contradict the script's status field unless you have additional observable evidence
• Do NOT invent metrics like "EEAT score 89" — third-party scoring tools are unofficial (per Google's 2026 guidance)
• Do NOT include checks marked llm_review_required: false in your judgment commentary — the script's status is final
• If llm_review_required: true, make explicit judgment, document reasoning, then update status

The script envelope is the single source of truth. Treat it as a strict whitelist.

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Companion skill

For single-page audits (not full-site), the same scripts power JeffLi1993/seo-audit-skill which produces a polished HTML audit report. Install as a complementary skill if you want client-presentable per-page audits.