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-optimizegit 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-optimize)<a href="https://agentmods.dev/skills/pavloseo/seohead-seotools/seo-optimize"><img src="https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/seo-optimize/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-optimize"><img src="https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/seo-optimize.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 | $0.00097 | $0.01837 |
| Opus 5 | $0.00048 | $0.00919 |
| Sonnet 5 | $0.00019 | $0.00367 |
| Haiku 4.5 | $0.00010 | $0.00184 |
Grade A, and why
seo-optimize 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 8d 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Content Optimization (Refresh + Internal Linking)
Two modules: Content Refresh → Internal Linking
Quick Start
Refresh this article—its traffic has dropped: [URL or text]
Find the internal links that should be added for this page: [URL]
Audit the internal linking of [domain] and provide recommendations
This article is outdated—what should be updated? [URL]
MODULE 1 — Content Refresh
Use when: an article is losing traffic or rankings, its content is outdated, or a new competitor has emerged.
Content Decay Signals
| Signal | Action Threshold | Priority |
|---|---|---|
| MoM traffic decline | >20% over 2 weeks; >40% is urgent | P1–P0 |
| Ranking decline | 3–5 positions: investigate; >5 positions: urgent | P1–P0 |
| CTR decline | >20% from baseline: rewrite title/description | P2 |
| Publication date >12 months ago with no updates | High decay risk | P2 |
| Outdated links (>10% broken) | Medium risk | P2 |
| A competitor moved above the page | Displacement | P1 |
| Featured snippet or AI Overview lost | Displacement | P1 |
Decay Score (0–100)
| Factor | Weight |
|---|---|
| Traffic decline | 30% |
| Ranking decline | 25% |
| CTR decline | 15% |
| Outdated content | 15% |
| Competitive displacement | 15% |
| Score | Status | Action |
|---|---|---|
| 0–20 | Healthy | Monitor |
| 21–40 | Early decay | Add to next month's plan |
| 41–60 | Active decay | Refresh this week |
| 61–80 | Significant decay | Refresh urgently or rewrite |
| 81–100 | Critical | Rewrite, redirect, or remove |
9-Step Refresh Workflow
1. E-E-A-T quick score — assess eight dimensions (Clarity, Originality, Reliability, Expertise, Experience, Authoritativeness, Trust, GEO) and identify red flags.
2. Refresh candidates — identify them by age, outdated data, traffic decline, ranking loss, broken links, and changes in SERP intent.
3. Decay analysis — compare performance six months ago with performance now: traffic, rankings, CTR, keyword delta, changes among top-ranking competitors, and the reasons for the decline.
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.
- 8d ago First seen · 210 lines · 97 tokens per session scan A fa24dce0f954
seo-optimize is a skill published in the GitHub repository PavloSEO/seohead-seotools (0 stars, last pushed 5d ago), licensed MIT. It adds 97 tokens to every session and 1,837 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.
competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
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.
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.