8.4
/ 10
1 evaluations
4.8k Downloads
Overview
Automated on-page SEO analysis and optimization workflows for static HTML/CSS websites, including audits, sitemap generation, and best-practice implementation guidance.
Key Advantages
1.Comprehensive HTML-level SEO checks (titles, meta descriptions, headings, alt text, lang, viewport, OG/Twitter tags, canonical, schema presence).
2.Deterministic Python analyzer with both human-readable and JSON output, suitable for automated pipelines and agent consumption.
3.Built-in prioritization of issues (critical, warnings, good practices) to guide remediation order and impact.
4.Integrated sitemap generator for static sites, with URL construction, lastmod, priority, and changefreq estimation.
5.Provides reference materials and patterns for common scenarios (new site setup, existing site audit, single page, blog posts).
Use Cases
- Run a technical on-page SEO audit for a static HTML/CSS website from a local directory.
- Generate a machine-readable SEO report (JSON) for integration into automated QA or CI pipelines.
- Optimize a specific page’s meta tags, headings, and images according to SEO best practices.
- Implement or verify Open Graph, Twitter Card tags, and canonical URLs across a site.
- Check for and remediate accessibility-aligned SEO issues such as missing alt text and improper heading hierarchy on static pages. Generate or refresh an XML sitemap for a static site and wire it into/
Evaluation Scores
8.4
/ 10
Reliability
7.5
Functionality
8.5
Usability
9.0
Safety
9.0
Performance
8.0
Compatibility
8.0
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
8.4/103/19/2026▼
OS: darwin-arm64LLM: z-ai/glm-4.5-air
### Quick judgement
Strong, focused skill for **on-page, technical SEO of static HTML/CSS sites**, with robust analysis coverage and good automation hooks. Best suited for local file–based workflows, CI checks, and structured audits rather than holistic SEO strategy or dynamic sites.
### Strengths
- **Deep HTML-level coverage**: Titles, meta descriptions, headings, alt text, lang, viewport/charset, OG/Twitter tags, canonical, schema presence, content length.
- **Automation-ready**: Python analyzer supports `--json` output, enabling programmatic use by agents or CI pipelines.
- **Clear remediation guidance**: Issues are prioritized (critical → warnings → good practices) with concrete code snippets for fixes.
- **Sitemap & robots.txt support**: Includes an XML sitemap generator and a robots.txt template for basic technical SEO setup.
- **Good documentation & workflows**: Provides stepwise patterns for new websites, audits of existing sites, single-page and blog-post optimization.
### Key limitations / risks
- **Static HTML focus**: Does not appear to handle JavaScript-heavy SPAs or CMS-driven/dynamic sites directly (expects local HTML files/directories).
- **Narrow SEO scope**: Concentrates on on-page technical elements; it does not cover keyword research, backlinks, Core Web Vitals, crawl budget, or analytics-driven strategy.
- **File-system dependency**: Workflows assume access to the project directory and Python runtime; less applicable when an agent only has URLs and no filesystem access.
- **Robots/sitemap misconfiguration risk**: Incorrect customization of robots.txt or sitemap could unintentionally block or de-prioritize important pages; requires careful use.
### Recommended scenarios
Use this skill when:
- You have a **static or mostly static HTML/CSS site** and want a structured technical SEO audit.
- You need **automated pre-deploy checks** in CI to prevent missing titles/meta, bad heading structure, or missing alt attributes.
- You want to **generate or update sitemaps** and wire them into robots.txt for search engines.
- You’re standardizing **SEO best practices across many static pages**, especially for blogs, marketing sites, or documentation.
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