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 amirjahfar1/automate-seo-with-claude --skill seo-content-briefgit clone --depth 1 https://github.com/amirjahfar1/automate-seo-with-claudeWrote 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/amirjahfar1/automate-seo-with-claude/seo-content-brief)<a href="https://agentmods.dev/skills/amirjahfar1/automate-seo-with-claude/seo-content-brief"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-content-brief/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/amirjahfar1/automate-seo-with-claude/seo-content-brief"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-content-brief.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 | $0.00092 | $0.02800 |
| Opus 5 | $0.00046 | $0.01400 |
| Sonnet 5 | $0.00018 | $0.00560 |
| Haiku 4.5 | $0.00009 | $0.00280 |
Grade A, and why
seo-content-brief 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 12d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Example output: examples/seo-content-brief-vercel-rate-limiting-20260514/BRIEF.md
Content Brief
Turn a domain plus a topic intent into a complete content editor brief: target keyword, title options, H2/H3 structure, content gaps the current top results miss, internal linking plan, AI search angle, and estimated traffic potential.
Prerequisites
- DataForSEO MCP server connected.
- Claude's
WebFetchtool available (used for top-3 content teardown). - User has provided: (a) target domain, (b) market/country (default:
us), and optionally (c) a seed topic or intent. If no seed topic is given, discover the best opportunity from the keyword-gap step.
Process
-
Domain overview
mcp__dataforseo__dataforseo_labs_google_domain_rank_overview,mcp__dataforseo__dataforseo_labs_google_ranked_keywords- Pull organic traffic, top countries, and top 100 organic keywords in the target market.
- Save the raw JSON and a human summary.
-
Competitor discovery
mcp__dataforseo__dataforseo_labs_google_competitors_domain- Identify the top 5 organic competitors by shared keywords in the target market.
- Save a one-line positioning note per competitor.
- Note: large competitor lists can exceed the MCP inline limit and get written to a file. Cap the call with
limit, then read the result, sort by shared/common keywords desc, and take the top 5. Slice saved files withjqif needed.
-
Keyword gap analysis
mcp__dataforseo__dataforseo_labs_google_domain_intersection- Pull keywords the competitors rank for that the target domain does not.
- Filter: informational intent, search volume > 1,000/mo, keyword difficulty < 40.
- Save the filtered gap list sorted by volume.
-
Pick the best topic cluster
- From the gaps, select one topic. Justify the pick with: traffic potential, difficulty, relevance to the target domain's product. Surface reasoning to the user before proceeding.
What ships with it
1 file 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.
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.
- 12d ago First seen · 163 lines · 92 tokens per session scan A 8ad0232f8741
seo-content-brief is a skill published in the GitHub repository amirjahfar1/automate-seo-with-claude (2 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 2,800 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.
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