claude-seo-drift

Files (2)

• SKILL.md
• comparison-rules.md · references/

SKILL.md (first lines)

> **Nota per Kimi Code:** questa skill è convertita dal plugin Claude Code `claude-seo`. I comandi slash (`/seo ...`) non sono disponibili; descrivi semplicemente in linguaggio naturale cosa vuoi analizzare. Gli script sono in `~/.kimi/skills/claude-seo/scripts/`.



# SEO Drift Monitor (April 2026)

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

---

## Commands

| Command | Purpose |
|---------|---------|
| `drift baseline <url>` | Capture current SEO state as a "known good" snapshot |
| `drift compare <url>` | Compare current page state to stored baseline |
| `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 `~/.kimi/skills/claude-seo/scripts/fetch_page.py`
3. Parse HTML via `~/.kimi/skills/claude-seo/scripts/parse_html.py`
4. Optionally fetch CWV via `~/.kimi/skills/claude-seo/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
~/.kimi/skills/claude-seo/.venv/bin/python ~/.kimi/skills/claude-seo/scripts/drift_baseline.py <url>
~/.kimi/skills/claude-seo/.venv/bin/python ~/.kimi/skills/claude-seo/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
~/.kimi/skills/claude-seo/.venv/bin/python ~/.kimi/skills/claude-seo/scripts/drift_compare.py <url>
~/.kimi/skills/claude-seo/.venv/bin/python ~/.kimi/skills/claude-seo/scripts/drift_compare.py <url> --baseline-id 5
~/.kimi/skills/claude-seo/.venv/bin/python ~/.kimi/skills/claude-seo/scripts/drift_compare.py <url> --skip-cwv
```

From CloreM-Fine/kimi-code-skill-adapters, MIT.

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