seo-drift
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".
- License 许可
- MIT
- 最近更新
- 2026-11-11
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- seo-drift
- license
- MIT
- metadata
- { "author": "AgriciDaniel", "version": "2.2.4", "category": "seo", "original_author": "Dan Colta (Pro Hub Challenge)" }
- description
- 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".
- argument-hint
- baseline|compare|history <url>
- user-invocable
- true
02 资源文件 3
- 参考文档evals/benchmark.json18.7 KB
- 参考文档evals/evals.json32.8 KB
- 参考文档references/comparison-rules.md5.6 KB
03 SKILL.md 正文
SEO Drift Monitor (April 2026)
Git for your SEO. Capture baselines, detect regressions, track changes over time.
Commands
| Command | Purpose |
|---|---|
/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:
| Element | Field | Source |
|---|---|---|
| Title tag | title |
parse_html.py |
| Meta description | meta_description |
parse_html.py |
| Canonical URL | canonical |
parse_html.py |
| Robots directives | meta_robots |
parse_html.py |
| H1 headings | h1 (array) |
parse_html.py |
| H2 headings | h2 (array) |
parse_html.py |
| H3 headings | h3 (array) |
parse_html.py |
| JSON-LD schema | schema (array) |
parse_html.py |
| Open Graph tags | open_graph (dict) |
parse_html.py |
| Core Web Vitals | cwv (dict) |
pagespeed_check.py |
| HTTP status code | status_code |
fetch_page.py |
| HTML content hash | html_hash (SHA-256) |
Computed |
| Schema content hash | schema_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
| Level | Meaning | Response Time |
|---|---|---|
| CRITICAL | SEO-breaking change, likely traffic loss | Immediate |
| WARNING | Potential impact, needs investigation | Within 1 week |
| INFO | Awareness only, may be intentional | Review 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:
- Validate URL (SSRF protection via
google_auth.validate_url()) - Fetch page via
scripts/fetch_page.py - Parse HTML via
scripts/parse_html.py - Optionally fetch CWV via
scripts/pagespeed_check.py(use--skip-cwvto skip) - Hash HTML body and schema content (SHA-256)
- Store snapshot in SQLite
Execution:
/home/noirelab/.config/opencode/skills/seo/bin/claude-seo run drift_baseline.py <url>
/home/noirelab/.config/opencode/skills/seo/bin/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:
- Validate URL
- Load most recent baseline from SQLite (or specific
--baseline-id) - Fetch and parse current page state
- Run all 17 comparison rules
- Classify findings by severity
- Store comparison result
- Output JSON diff report
Execution:
/home/noirelab/.config/opencode/skills/seo/bin/claude-seo run drift_compare.py <url>
/home/noirelab/.config/opencode/skills/seo/bin/claude-seo run drift_compare.py <url> --baseline-id 5
/home/noirelab/.config/opencode/skills/seo/bin/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:
/home/noirelab/.config/opencode/skills/seo/bin/claude-seo run drift_report.py <comparison_json_file> --output drift-report.html
Command: history
Shows all baselines and comparisons for a URL.
Execution:
/home/noirelab/.config/opencode/skills/seo/bin/claude-seo run drift_history.py <url>
/home/noirelab/.config/opencode/skills/seo/bin/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:
| Finding | Recommendation |
|---|---|
| Schema removed or modified | Run /seo schema <url> for full validation |
| CWV regression | Run /seo technical <url> for performance audit |
| Title or meta description changed | Run /seo page <url> for content analysis |
| Canonical changed or removed | Run /seo technical <url> for indexability check |
| Noindex added | Run /seo technical <url> for crawlability audit |
| H1/heading structure changed | Run /seo content <url> for E-E-A-T review |
| OG tags removed | Run /seo page <url> for social sharing analysis |
| Status code changed to error | Run /seo technical <url> for full diagnostics |
Error Handling
| Scenario | Action |
|---|---|
| URL unreachable | Report error from fetch_page.py. Do not guess state. Suggest user verify URL. |
| No baseline exists for URL | Inform user and suggest running baseline first. |
| SSRF blocked (private IP) | Report validate_url() rejection. Never bypass. |
| SQLite database missing | Auto-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/5xx | Still capture as baseline (status code IS a tracked field). |
| Multiple baselines exist | Use most recent unless --baseline-id specified. |
Security
- All URL fetching goes through
scripts/fetch_page.pywhich 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=Falseanywhere 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?
04 同仓库更多 Skills
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
returns-reverse-logistics
Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.
quality-nonconformance
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.
production-scheduling
Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.
logistics-exception-management
Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.
inventory-demand-planning
Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.