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-growth-loopgit 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-growth-loop)<a href="https://agentmods.dev/skills/marketingskills/seo/seo-growth-loop"><img src="https://agentmods.dev/badge/skills/marketingskills/seo/seo-growth-loop/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-growth-loop"><img src="https://agentmods.dev/badge/skills/marketingskills/seo/seo-growth-loop.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 | $0.00088 | $0.01807 |
| Opus 5 | $0.00044 | $0.00903 |
| Sonnet 5 | $0.00018 | $0.00361 |
| Haiku 4.5 | $0.00009 | $0.00181 |
Grade A, and why
seo-growth-loop 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recursive SEO Growth Loop
Overview
Use this skill to choose and complete one high-leverage SEO improvement without assuming a specific tech stack or coding agent. The workflow prefers real performance evidence first, validates demand, checks SERP competitiveness with Authority Mark, then publishes through whatever safe path the project exposes.
Default to Claude Code-style local project workflows when the runtime is not specified, but adapt to Codex, OpenCode, or advisory-only environments when that is what the user is using. For recurring runs, treat the agent as a bounded one-shot process, not a daemon. See references/agent-runtimes.md.
First: Identify The Operating Mode
Before editing anything, identify the project's available surfaces:
- Project preflight: read project docs/config, infer framework, source of truth, existing SEO automation, and safe write path. If useful, run
scripts/probe_project.py <project-dir>and then readreferences/project-preflight.md. - Performance data: Google Search Console (or the
live-search-console-dataskill for faster setup), RefreshAgent, Bing Webmaster, analytics, rank tracking, server logs, or none. - Keyword demand: keyword tool, exported CSV, SERP research, internal site-search data, or none.
- Publishing path: infer whether content is committed to Git, published through a CMS/API, handled by a hybrid code-plus-CMS flow, or advisory-only. See
references/publishing-adapters.md. - Verification path: live URL checks, local preview, CI/tests, screenshot/browser checks, schema validation, or manual handoff.
- Indexing path: IndexNow, sitemap, Search Console URL inspection, CMS auto-sitemap, or none.
- Work log: existing SEO log, issue tracker, changelog, or a new markdown log.
- Runtime: Claude Code, Codex, OpenCode, another coding agent, or manual/advisory mode.
- Scheduling: one-shot manual run, cron/systemd timer, GitHub Actions, hosted scheduler, or none.
What ships with it
9 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.
- agents/openai.yaml 252 B
- references/agent-runtimes.md 2.9 KB
- references/log-template.md 1.4 KB
- references/project-config.md 3.0 KB
- references/project-preflight.md 3.0 KB
- references/publishing-adapters.md 7.4 KB
- references/scheduling.md 5.4 KB
- scripts/probe_project.py 7.5 KB runs code
- scripts/run_seo_growth_loop.sh 2.9 KB runs code
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 · 119 lines · 88 tokens per session scan A 6fd4b8affb2a
seo-growth-loop is a skill published in the GitHub repository marketingskills/seo (3 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 1,807 once invoked, about $0.0004 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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