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seo-drift

Save a page's SEO settings and compare them with later versions to detect changes after updates or deployments. Review differences in titles, headings, indexing controls, structured data, and available performance metrics, with severity levels and stored comparison history.

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SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO: baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".

查看安装方法

适用场景

  • Compare SEO settings before and after deployment
  • Check for unintended title or heading changes
  • Investigate page changes after a traffic drop
  • Review saved SEO snapshots and comparison history

包含的文件(2)

  • SKILL.md7.2 KB
  • references/comparison-rules.md5.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

SEO Drift Monitor (April 2026)

Git for your SEO. Capture baselines, detect regressions, track changes over time.


Commands

CommandPurpose
/seo drift baseline <url>Capture current SEO state as a "known good" snapshot
/seo drift compare <url>Compare current page state to stored baseline
/seo drift history <url>Show change history and past comparisons

What It Captures

Every baseline records these SEO-critical elements:

ElementFieldSource
Title tagtitleparse_html.py
Meta descriptionmeta_descriptionparse_html.py
Canonical URLcanonicalparse_html.py
Robots directivesmeta_robotsparse_html.py
H1 headingsh1 (array)parse_html.py
H2 headingsh2 (array)parse_html.py
H3 headingsh3 (array)parse_html.py
JSON-LD schemaschema (array)parse_html.py
Open Graph tagsopen_graph (dict)parse_html.py
Core Web Vitalscwv (dict)pagespeed_check.py
HTTP status codestatus_codefetch_page.py
HTML content hashhtml_hash (SHA-256)Computed
Schema content hashschema_hash (SHA-256)Computed

How Comparison Works

The comparison engine applies 17 rules across 3 severity levels. Load references/comparison-rules.md for the full rule set with thresholds, recommended actions, and cross-skill references.

Severity Levels

LevelMeaningResponse Time
CRITICALSEO-breaking change, likely traffic lossImmediate
WARNINGPotential impact, needs investigationWithin 1 week
INFOAwareness only, may be intentionalReview at convenience

Storage

All data is stored locally in SQLite:

~/.cache/claude-seo/drift/baselines.db

Tables

  • baselines: Captured snapshots with all SEO elements
  • comparisons: Diff results with triggered rules and severities

URL normalization ensures consistent matching: lowercase scheme/host, strip default ports (80/443), sort query parameters, remove UTM parameters, strip trailing slashes.


Command: baseline

Captures the current state of a page and stores it.

Steps:

  1. Validate URL (SSRF protection via google_auth.validate_url())
  2. Fetch page via "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run fetch_page.py <URL>
  3. Parse HTML via "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run parse_html.py <URL>
  4. Optionally fetch CWV via "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run pagespeed_check.py <URL> (use --skip-cwv to skip)
  5. Hash HTML body and schema content (SHA-256)
  6. Store snapshot in SQLite

Execution:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_baseline.py <url>
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_baseline.py <url> --skip-cwv

Output: JSON with baseline ID, timestamp, URL, and summary of captured elements.


Command: compare

Fetches the current page state and diffs it against the most recent baseline.

Steps:

  1. Validate URL
  2. Load most recent baseline from SQLite (or specific --baseline-id)
  3. Fetch and parse current page state
  4. Run all 17 comparison rules
  5. Classify findings by severity
  6. Store comparison result
  7. Output JSON diff report

Execution:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_compare.py <url>
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_compare.py <url> --baseline-id 5
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_compare.py <url> --skip-cwv

Output: JSON with all triggered rules, old/new values, severity, and actions.

After comparison, offer to generate an HTML report:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_report.py <comparison_json_file> --output drift-report.html

Command: history

Shows all baselines and comparisons for a URL.

Execution:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_history.py <url>
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_history.py <url> --limit 10

Output: JSON array of baselines (newest first) with timestamps and comparison summaries.


Cross-Skill Integration

When drift is detected, recommend the appropriate specialized skill:

FindingRecommendation
Schema removed or modifiedRun /seo schema <url> for full validation
CWV regressionRun /seo technical <url> for performance audit
Title or meta description changedRun /seo page <url> for content analysis
Canonical changed or removedRun /seo technical <url> for indexability check
Noindex addedRun /seo technical <url> for crawlability audit
H1/heading structure changedRun /seo content <url> for E-E-A-T review
OG tags removedRun /seo page <url> for social sharing analysis
Status code changed to errorRun /seo technical <url> for full diagnostics

Error Handling

ScenarioAction
URL unreachableReport error from fetch_page.py. Do not guess state. Suggest user verify URL.
No baseline exists for URLInform user and suggest running baseline first.
SSRF blocked (private IP)Report validate_url() rejection. Never bypass.
SQLite database missingAuto-create on first use. No error.
CWV fetch fails (no API key)Store null for CWV fields. Skip CWV rules during comparison.
Page returns 4xx/5xxStill capture as baseline (status code IS a tracked field).
Multiple baselines existUse most recent unless --baseline-id specified.

Security

  • All URL fetching goes through "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run fetch_page.py, which enforces SSRF protection (blocks private IPs, loopback, reserved ranges, GCP metadata endpoints)
  • No curl, no subprocess HTTP calls -- only the project's validated fetch pipeline
  • All SQLite queries use parameterized placeholders (?), never string interpolation
  • TLS always verified -- no verify=False anywhere in the pipeline

Typical Workflows

Pre/Post Deployment Check

/seo drift baseline https://example.com     # Before deploy
# ... deploy happens ...
/seo drift compare https://example.com      # After deploy

Ongoing Monitoring

/seo drift baseline https://example.com     # Initial capture
# ... weeks later ...
/seo drift compare https://example.com      # Check for drift
/seo drift history https://example.com      # Review all changes

Investigating a Traffic Drop

/seo drift compare https://example.com      # What changed?
/seo drift history https://example.com      # When did it change?

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