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 PavloSEO/seohead-seotools --skill seo-contentgit clone --depth 1 https://github.com/PavloSEO/seohead-seotoolsWrote 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/pavloseo/seohead-seotools/seo-content)<a href="https://agentmods.dev/skills/pavloseo/seohead-seotools/seo-content"><img src="https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/seo-content/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/pavloseo/seohead-seotools/seo-content"><img src="https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/seo-content.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 | $0.00109 | $0.01786 |
| Opus 5 | $0.00055 | $0.00893 |
| Sonnet 5 | $0.00022 | $0.00357 |
| Haiku 4.5 | $0.00011 | $0.00179 |
Grade A, and why
seo-content 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 10d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Content (Writing + GEO + Quality Review)
Three blocks in one workflow: Writing → GEO Optimization → Quality Review
Quick Start
Write an SEO article about [topic], targeting [keyword], for [country/language]
Optimize this content for AI answers (GEO): [text or URL]
Review this article before publication and assess how ready it is: [text or URL]
BLOCK 1 — Writing an SEO Article
Workflow (9 Steps)
- Gather requirements — primary and secondary keywords, target length, content type (article/landing page/review), audience, intent, tone, CTA, and competitors.
- Analyze the SERP — review the top 10 results for the target keyword: formats, structure, length, and content surfaced in snippets.
- Create an optimized headline (H1/Title) — place the keyword near the beginning, keep it under 60 characters, and match search intent. Provide 3 options.
- Write the meta description — combine the keyword, value proposition, and CTA in 150–160 characters. Provide 3 options.
- Structure and write the content — H1 → introduction (answer immediately) → H2/H3 sections → FAQ → conclusion + CTA.
- Apply on-page practices — use the keyword within the first 100 words and in subheadings, write alt text, and maintain readability (Flesch ≥50 for English; adapt the metric for Russian).
- Add internal and external links — include 2–5 relevant internal links and 1–2 authoritative external sources.
- Optimize for snippets and featured blocks — add an FAQ block, numbered lists for how-to content, and tables for comparisons.
- Run a final review — confirm keyword placement, complete intent coverage, no keyword stuffing, and clear E-E-A-T signals.
Headline Formulas
| Pattern | Example |
|---|---|
| Keyword + Benefit | "SEO Site Audit: How to Find and Fix Errors" |
| Number + Keyword | "12 SEO Mistakes That Kill Organic Traffic" |
| How to + Keyword + Outcome | "How to Run an SEO Audit and Reach the Top 10" |
| Keyword + [Year] | "SEO in 2025: What Works Now" |
| Keyword vs. Keyword | "Yandex vs. Google: How Their Ranking Systems Differ" |
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.
- 10d ago First seen · 169 lines · 109 tokens per session scan A 00a7de5aab20
seo-content is a skill published in the GitHub repository PavloSEO/seohead-seotools (0 stars, last pushed 6d ago), licensed MIT. It adds 109 tokens to every session and 1,786 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
fire-your-seo-agency
A procedure for improving how a website appears in search engines and how AI answer systems find and cite it. It covers search, answer-engine, generative-AI, and Naver visibility.
geo-loop
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
content-scoring
Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.
competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
validation-doctor
Check Brave Search and Chrome DevTools MCP availability and provide exact setup snippets. Use when validation dependencies are missing or uncertain.
geo-content-research
Researches what prompts people ask AI engines (ChatGPT, Gemini, Perplexity, Claude) about a product category and produces a prompts.csv artifact — a prioritized, strictly-schema'd list of the queries where the brand should be cited. Feeds the monitor workflow.