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 marketingskills/seo --skill seo-priority-scoregit clone --depth 1 https://github.com/marketingskills/seoWrote 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/marketingskills/seo/seo-priority-score)<a href="https://agentmods.dev/skills/marketingskills/seo/seo-priority-score"><img src="https://agentmods.dev/badge/skills/marketingskills/seo/seo-priority-score/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/marketingskills/seo/seo-priority-score"><img src="https://agentmods.dev/badge/skills/marketingskills/seo/seo-priority-score.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 | $0.00040 | $0.00308 |
| Opus 5 | $0.00020 | $0.00154 |
| Sonnet 5 | $0.00008 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
seo-priority-score 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.
What it actually says
SEO Priority Score
Overview
Given a list of potential SEO tasks (from any Diagnose skill), score each one on a standardized framework and produce a ranked priority list.
Inputs
- List of SEO tasks or opportunities with supporting data
- Optional: business context (revenue per visitor, conversion rates, margins)
Workflow
- For each task, collect or estimate:
- Impact: traffic, conversion, or revenue potential (scale 1-10)
- Confidence: how reliable the signal is (scale 1-5)
- Effort: hours or cost to implement (scale 1-5, inverted)
- Authority feasibility: can the site realistically compete (scale 1-5)
- Revenue proximity: how directly this affects pipeline (scale 1-5)
- Calculate a composite priority score:
(Impact × Confidence) / (Effort × Authority gap)with revenue proximity as a multiplier. - Group tasks by effort band: quick wins (< 4 hours), medium projects (4-20 hours), strategic initiatives (20+ hours).
- Output a sorted priority list with the score breakdown.
Output
Ranked task list with priority score, breakdown, and effort band.
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 · 32 lines · 40 tokens per session scan A 7f5a132f400e
seo-priority-score is a skill published in the GitHub repository marketingskills/seo (3 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 308 once invoked, about $0.0002 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.
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