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 saski/arnesto --skill product-led-seogit clone --depth 1 https://github.com/saski/arnestoWrote 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/saski/arnesto/product-led-seo)<a href="https://agentmods.dev/skills/saski/arnesto/product-led-seo"><img src="https://agentmods.dev/badge/skills/saski/arnesto/product-led-seo/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/saski/arnesto/product-led-seo"><img src="https://agentmods.dev/badge/skills/saski/arnesto/product-led-seo.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 | $0.00090 | $0.00608 |
| Opus 5 | $0.00045 | $0.00304 |
| Sonnet 5 | $0.00018 | $0.00122 |
| Haiku 4.5 | $0.00009 | $0.00061 |
Grade A, and why
product-led-seo 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 6d 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 product-led-seo — 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Context
This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.
Input Requirements
- Context about your product, feature, or problem
- Relevant data, research, or constraints (recommended but optional)
- Clear articulation of what you're trying to achieve
Product-Led SEO
What It Is
Product-Led SEO is a framework that treats SEO as a product discipline, not just a marketing tactic. The core insight: SEO success comes from building products that serve searcher intent, not from creating content optimized for keywords.
The traditional approach to SEO is "find keywords, write content, build links." Product-Led SEO asks: "What is the user searching for, and what product experience will satisfy that search?"
This framework was developed by Eli Schwartz, who helped companies like Zapier, Tinder, Quora, and SurveyMonkey build SEO strategies that generated hundreds of millions in revenue. The key shift: Move from "How do we rank for this keyword?" to "What product does this searcher need?"
When to Use It
Use Product-Led SEO when you need to:
- Decide if SEO is worth investing in for your business model
- Develop an SEO strategy that actually converts (not just drives traffic)
- Build programmatic pages at scale (like Zapier, Zillow, or TripAdvisor)
- Evaluate your SEO approach in the age of AI Overviews and LLMs
- Shift from top-of-funnel content to mid-funnel conversion
- Get product and marketing aligned on search strategy
- Understand the real ROI of your SEO investment
When Not to Use It
- No SEO journey exists: If users don't search for your solution (most B2B SaaS)
- Committee decisions: Enterprise sales with long buying cycles rarely convert from SEO
- Brand-driven discovery: If your product requires brand awareness first
- You need fast results: SEO takes months to years
- **Local businesses with no online transaction
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.
- 6d ago First seen · 60 lines · 90 tokens per session scan A 0b6f1229d764
product-led-seo is a skill published in the GitHub repository saski/arnesto (5 stars, last pushed 4d ago), licensed Unlicense. It adds 90 tokens to every session and 608 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 product-led-seo, differing in 0 lines, and is treated as a copy.
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