agent marketing skill risk: low
SEO Drift Baseline Comparison Commands
The prompt defines commands, captured SEO elements, comparison rules, storage, execution steps, error handling, and cross-skill recommendations for baseline capture, drift comparis…
SKILL 2 files · 1 folder
SKILL.md
--- name: seo-drift description: ")" --- # 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:** 1. Validate URL (SSRF protection via `google_auth.validate_url()`) 2. Fetch page via `scripts/fetch_page.py` 3. Parse HTML via `scripts/parse_html.py` 4. Optionally fetch CWV via `scripts/pagespeed_check.py` (use `--skip-cwv` to skip) 5. Hash HTML body and schema content (SHA-256) 6. Store snapshot in SQLite **Execution:** ```bash python scripts/drift_baseline.py <url> python scripts/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:** ```bash python scripts/drift_compare.py <url> python scripts/drift_compare.py <url> --baseline-id 5 python scripts/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: ```bash python scripts/drift_report.py <comparison_json_file> --output drift-report.html ``` --- ## Command: `history` Shows all baselines and comparisons for a URL. **Execution:** ```bash python scripts/drift_history.py <url> python scripts/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.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? ```
REQUIRED CONTEXT
- URL to monitor
OPTIONAL CONTEXT
- baseline-id
- skip-cwv flag
- limit for history
ROLES & RULES
- Do not guess state.
- Never bypass.
- No curl, no subprocess HTTP calls
EXPECTED OUTPUT
- Format
- markdown
- Schema
- json · baseline ID, timestamp, URL, summary of captured elements, triggered rules, old/new values, severity, actions
- Constraints
- include command tables and execution examples
- reference external scripts and rules files
SUCCESS CRITERIA
- Capture baselines
- Detect regressions
- Track changes over time
FAILURE MODES
- May fail to validate SSRF
- May skip CWV on API error
CAVEATS
- Dependencies
- references/comparison-rules.md
- scripts/fetch_page.py
- scripts/parse_html.py
- scripts/pagespeed_check.py
- google_auth.validate_url()
- Missing context
- Full definition or content of the 17 comparison rules
- Exact output schema for the JSON reports
- Ambiguities
- The 'description' field contains only ')' which appears erroneous.
- References external file 'references/comparison-rules.md' without including its content or thresholds.
QUALITY
- OVERALL
- 0.70
- CLARITY
- 0.80
- SPECIFICITY
- 0.90
- REUSABILITY
- 0.30
- COMPLETENESS
- 0.85
IMPROVEMENT SUGGESTIONS
- Replace the broken 'description: ")"' header with a concise one-sentence purpose statement.
- Convert the fixed script paths and filenames into optional placeholders so the spec can be reused across projects.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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