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 01clauding/claude-seo-skill --skill seo-competitor-analysisgit clone --depth 1 https://github.com/01clauding/claude-seo-skillWrote 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/01clauding/claude-seo-skill/seo-competitor-analysis)<a href="https://agentmods.dev/skills/01clauding/claude-seo-skill/seo-competitor-analysis"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/seo-competitor-analysis/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/01clauding/claude-seo-skill/seo-competitor-analysis"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/seo-competitor-analysis.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 | $0.00073 | $0.02185 |
| Opus 5 | $0.00036 | $0.01092 |
| Sonnet 5 | $0.00015 | $0.00437 |
| Haiku 4.5 | $0.00007 | $0.00218 |
Grade A, and why
seo-competitor-analysis 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 9d 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-competitor-analysis — SEO Competitive Intelligence
Analysis Framework
Step 1: Competitor Identification
Competitor Types
| Type | Definition | How to Find |
|---|---|---|
| Direct competitors | Same product/service, same market | Business knowledge |
| Indirect competitors | Different product, same problem solved | User research |
| SERP competitors | Rank for same keywords, any industry | DataForSEO / SERP analysis |
SERP Competitor Discovery
- Take your top 20 target keywords
- Analyze top 10 results for each
- Count domain frequency across all SERPs
- Domains appearing for 5+ of your keywords = SERP competitors
- Select top 3-5 competitors for deep analysis
Competitor Overview Dashboard
| Metric | Your Site | Comp A | Comp B | Comp C |
|---|---|---|---|---|
| Domain Rating (DR) | — | — | — | — |
| Est. organic traffic | — | — | — | — |
| Indexed pages | — | — | — | — |
| Domain age | — | — | — | — |
| Referring domains | — | — | — | — |
| Keywords in top 10 | — | — | — | — |
Step 2: Keyword Competition Analysis
Keyword Overlap Matrix
Your Site Comp A Comp B Comp C
Your Site — 45% 32% 28%
Comp A 45% — 51% 38%
Comp B 32% 51% — 42%
Comp C 28% 38% 42% —
Gap Analysis Categories
| Category | Definition | Action |
|---|---|---|
| Shared keywords | All competitors rank | Table stakes — must compete |
| Your unique keywords | Only you rank | Protect and strengthen |
| Competitor-only keywords | They rank, you don't | Evaluate and target |
| Untapped keywords | No one ranks well | First-mover advantage |
Share of Voice (SOV) Calculation
SOV = Σ (estimated_clicks per keyword) / Σ (total_clicks for all tracked keywords) × 100
Where estimated_clicks = search_volume × CTR_for_position
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.
- 9d ago First seen · 226 lines · 73 tokens per session scan A 1acbb7357f51
seo-competitor-analysis is a skill published in the GitHub repository 01clauding/claude-seo-skill (4 stars, last pushed 5mo ago), licensed MIT. It adds 73 tokens to every session and 2,185 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.
Other skills, from other repositories
gemini
Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini…
schema-markup-generator
Generate JSON-LD structured data markup for rich results in Google Search. Supports FAQ, HowTo, Article, Product, LocalBusiness, and multi-type schemas. Validates against Google requirements and provides implementation guidance. Use when asked to "add schema markup", "generate structured data", "JSON-LD", "rich…
google-ads-landing
Score and diagnose Google Ads landing pages. Use when asked to audit a landing page, check landing page quality, diagnose high-CTR but low-conversion-rate ad groups, improve Quality Score's Landing Page Experience component, or compare an ad group's messaging against its landing page. Trigger on "landing page audit"…
content-planner
GSC-driven content calendar. Pulls real Search Console data, finds the highest click-potential opportunities (striking-distance queries at positions 5-20, unanswered query intent, related-keyword expansions), and produces a dated, prioritized content calendar — ready to hand to /content-writer. Use when the user asks…
keyword-research
Discover, analyze, and prioritize keywords for SEO and GEO content strategies from a seed keyword or niche. Identifies high-value opportunities based on search volume, competition, intent, and business relevance. Generates topic clusters. For building a dated editorial calendar from your own Search Console data, use…
meta-tags-optimizer
Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media…