Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ViryaZheng/recomby-geo --skill meta-tags-optimizergit clone --depth 1 https://github.com/ViryaZheng/recomby-geoWrote 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/viryazheng/recomby-geo/meta-tags-optimizer)<a href="https://agentmods.dev/skills/viryazheng/recomby-geo/meta-tags-optimizer"><img src="https://agentmods.dev/badge/skills/viryazheng/recomby-geo/meta-tags-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/viryazheng/recomby-geo/meta-tags-optimizer"><img src="https://agentmods.dev/badge/skills/viryazheng/recomby-geo/meta-tags-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00091 | $0.02567 |
| Opus 5 | $0.00046 | $0.01283 |
| Sonnet 5 | $0.00018 | $0.00513 |
| Haiku 4.5 | $0.00009 | $0.00257 |
Grade A, and why
meta-tags-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 11d 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.
This is a copy
100% identical to meta-tags-optimizer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta Tags Optimizer
This skill creates compelling, optimized meta tags that improve click-through rates from search results and enhance social media sharing. It covers title tags, meta descriptions, and social meta tags.
When This Must Trigger
Use this when the conversation involves any of these situations — even if the user does not use SEO terminology:
Use this whenever the task needs a shippable asset or transformation that should feed directly into quality review, deployment, or monitoring.
- Creating meta tags for new pages
- Optimizing existing meta tags for better CTR
- Preparing pages for social media sharing
- Fixing duplicate or missing meta tags
- A/B testing title and description variations
- Optimizing for specific SERP features
- Creating meta tags for different page types
What This Skill Does
- Title Tag Creation: Writes compelling, keyword-optimized titles
- Meta Description Writing: Creates click-worthy descriptions
- Open Graph Optimization: Prepares pages for social sharing
- Twitter Card Setup: Optimizes Twitter-specific meta tags
- CTR Analysis: Suggests improvements for better click rates
- Character Counting: Ensures proper length for SERP display
- A/B Test Suggestions: Provides variations for testing
Quick Start
Start with one of these prompts.
Create Meta Tags
Create meta tags for a page about [topic] targeting [keyword]
Write title and meta description for this content: [content/URL]
Optimize Existing Tags
Improve these meta tags for better CTR: [current tags]
Social Media Tags
Create Open Graph and Twitter card tags for [page/URL]
Data Sources
With ~~search console + ~~SEO tool connected: Automatically pull current meta tags, CTR data by query, competitor title/description patterns, SERP preview data, and impression/click metrics to identify optimization opportunities.
With manual data only: Ask the user to provide:
- Current title and meta description (if optimizing existing)
- Target primary keyword and 2-3 secondary keywords
- Page URL and main content/value proposition
- Competitor URLs or examples of well-performing titles in the SERP
What ships with it
4 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.
- 11d ago First seen · 314 lines · 91 tokens per session scan A 65d346b2ac33
meta-tags-optimizer is a skill published in the GitHub repository ViryaZheng/recomby-geo (454 stars, last pushed 2mo ago), licensed MIT. It adds 91 tokens to every session and 2,567 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to meta-tags-optimizer, differing in 0 lines, and is treated as a copy.
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