Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skillsnpx agentmods add skills/ailabs-393/ai-labs-claude-skills/seo-optimizerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/seo-optimizer)<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/seo-optimizer"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/seo-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/seo-optimizer"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/seo-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.02804 |
| Opus 5 | $0.00030 | $0.01402 |
| Sonnet 5 | $0.00012 | $0.00561 |
| Haiku 4.5 | $0.00006 | $0.00280 |
Grade A, and why
seo-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Optimizer
Overview
This skill provides comprehensive SEO optimization capabilities for HTML/CSS websites. It analyzes websites for SEO issues, implements best practices, and generates optimization reports covering all critical SEO aspects including meta tags, heading structure, image optimization, schema markup, mobile optimization, and technical SEO.
When to Use This Skill
Use this skill when the user requests:
- "Analyze my website for SEO issues"
- "Optimize this page for SEO"
- "Generate an SEO audit report"
- "Fix SEO problems on my website"
- "Add proper meta tags to my pages"
- "Implement schema markup"
- "Generate a sitemap"
- "Improve my site's search engine rankings"
- Any task related to search engine optimization for HTML/CSS websites
Workflow
1. Initial SEO Analysis
Start with comprehensive analysis using the SEO analyzer script:
python scripts/seo_analyzer.py <directory_or_file>
This script analyzes HTML files and generates a detailed report covering:
- Title tags (length, presence, uniqueness)
- Meta descriptions (length, presence)
- Heading structure (H1-H6 hierarchy)
- Image alt attributes
- Open Graph tags
- Twitter Card tags
- Schema.org markup
- HTML lang attribute
- Viewport and charset meta tags
- Canonical URLs
- Content length
Output Options:
- Default: Human-readable text report with issues, warnings, and good practices
--json: Machine-readable JSON format for programmatic processing
Example Usage:
# Analyze single file
python scripts/seo_analyzer.py index.html
# Analyze entire directory
python scripts/seo_analyzer.py ./public
# Get JSON output
python scripts/seo_analyzer.py ./public --json
2. Review Analysis Results
The analyzer categorizes findings into three levels:
Critical Issues (🔴) - Fix immediately:
- Missing title tags
- Missing meta descriptions
- Missing H1 headings
- Images without alt attributes
- Missing HTML lang attribute
Warnings (⚠️) - Fix soon for optimal SEO:
- Suboptimal title/description lengths
- Multiple H1 tags
- Missing Open Graph or Twitter Card tags
- Missing viewport meta tag
- Missing schema markup
- Heading hierarchy issues
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 405 lines · 61 tokens per session scan A 617a03db09ab
seo-optimizer is a skill published in the GitHub repository ailabs-393/ai-labs-claude-skills (445 stars, last pushed 10mo ago), licensed MIT. It adds 61 tokens to every session and 2,804 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…