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 norahe0304-art/30x-seo --skill 30x-seo-plangit clone --depth 1 https://github.com/norahe0304-art/30x-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/norahe0304-art/30x-seo/30x-seo-plan)<a href="https://agentmods.dev/skills/norahe0304-art/30x-seo/30x-seo-plan"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-seo-plan/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/norahe0304-art/30x-seo/30x-seo-plan"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-seo-plan.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 | $0.00044 | $0.00990 |
| Opus 5 | $0.00022 | $0.00495 |
| Sonnet 5 | $0.00009 | $0.00198 |
| Haiku 4.5 | $0.00004 | $0.00099 |
Grade A, and why
30x-seo-plan 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 13d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Strategy Planning
What This Skill Does
Create SEO strategy: analyze competitors, plan keywords, create content calendar, output implementation roadmap.
Does NOT do:
- Website architecture design → use
site-architecture - Technical SEO checks → use
seo-technical - Content generation → use
seo-content-writer
Optional Input
| Input | Source | Description |
|---|---|---|
| seo-keywords output | /seo keywords |
If keyword research exists, read as strategy input |
Not a hard dependency. You can plan first then research, or research first then plan.
Process
Step 1: Discovery
Ask user:
- Business type (SaaS / E-commerce / Local service / Media / Other)
- Target audience (Who are your customers?)
- Main competitors (3-5)
- Goals (Traffic? Conversions? Brand?)
- Existing website? (Yes → analyze current state; No → new site planning)
Step 2: Competitor Analysis
For each competitor, analyze:
| Dimension | Check Points |
|---|---|
| Content | What pages? Blog frequency? Content depth? |
| Keywords | What keywords rank? Content topics? |
| E-E-A-T | Author info? Expert endorsements? Trust signals? |
| Structure | URL hierarchy? Navigation design? |
Tools: WebFetch + Perplexity
Output: COMPETITOR-ANALYSIS.md
Step 3: Keyword Strategy
If seo-keywords output exists → read and integrate If not → infer from competitor analysis + user input
Determine:
- Core keywords (3-5)
- Long-tail keywords (10-20)
- Topic clusters
Output: Integrate into SEO-STRATEGY.md
Step 4: Content Planning
Based on keyword strategy, plan:
| Content Type | Example |
|---|---|
| Pillar pages | Authoritative long-form on core topics |
| Cluster pages | Detailed articles around pillars |
| Blog posts | Regular update content |
Output: CONTENT-CALENDAR.md
# Content Calendar
## Month 1
| Week | Topic | Target Keyword | Type | Priority |
|------|-------|----------------|------|----------|
| 1 | ... | ... | Pillar | High |
| 2 | ... | ... | Cluster | Medium |
What ships with it
6 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.
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.
- 13d ago First seen · 158 lines · 44 tokens per session scan A 6650dd9d9562
30x-seo-plan is a skill published in the GitHub repository norahe0304-art/30x-seo (51 stars, last pushed 6mo ago), licensed MIT. It adds 44 tokens to every session and 990 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 2026-08-30.
Other skills, from other repositories
local-falcon
Expert guidance on AI Visibility and Local SEO from Local Falcon, the pioneer of geo-grid rank tracking. Provides deep knowledge on optimizing for AI search platforms (ChatGPT, Gemini, AI Mode, AI Overviews, Grok), local pack rankings, Google Business Profile optimization, and actionable strategies for agencies…
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
found-by-ai
Measure whether AI engines actually recommend a business when buyers ask. Runs the free live scan at areyoufoundbyai.com (no auth, 60s), reads the verdict and the rivals AI names instead, hands back the fix plan, and wires monitored sites into a fix-and-re-measure loop over MCP.