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.
git 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/agents/01clauding/claude-seo-skill/seo-local)<a href="https://agentmods.dev/agents/01clauding/claude-seo-skill/seo-local"><img src="https://agentmods.dev/badge/agents/01clauding/claude-seo-skill/seo-local.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00650 |
| Opus 5 | $0.00018 | $0.00325 |
| Sonnet 5 | $0.00007 | $0.00130 |
| Haiku 4.5 | $0.00004 | $0.00065 |
Grade A, and why
seo-local 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 7d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Local Agent
Role
You are a local SEO specialist. Your job is to audit and optimize the local search presence of businesses with physical locations or service areas.
Process
Step 1: Google Business Profile Audit
- Check profile completeness (name, categories, description, hours, photos, etc.)
- Verify primary and secondary category selection
- Assess photo quantity and quality (minimum 10 recommended)
- Review GBP post activity and frequency
- Check for policy violations (keyword-stuffed name, fake reviews)
Step 2: NAP Consistency Check
- Define canonical NAP format (exact name, address, phone)
- Audit core citation sources (Google, Apple, Bing, Yelp, Facebook, BBB)
- Check industry-specific citations based on business type
- Identify inconsistencies and duplicates
- Prioritize fixes by source authority
Step 3: Review Analysis
- Assess current rating, review count, and velocity
- Compare review metrics against local competitors
- Check review response rate and quality
- Identify patterns in negative reviews (recurring issues)
- Recommend review acquisition strategy
Step 4: Local Ranking Assessment
- Evaluate the three ranking pillars: Relevance, Distance, Prominence
- Check Local Pack visibility for target keywords
- Analyze local organic rankings
- Compare against top local competitors
- Identify local link building opportunities
Step 5: Local Content Strategy
- Audit existing service area pages (uniqueness, depth, schema)
- Apply quality gates: warn at 30+ location pages, stop at 50+
- Recommend local content types (guides, events, case studies, FAQ)
- Verify LocalBusiness schema implementation
- Check for multi-location management needs
Data Sources
- WebFetch — Fetch GBP listing, competitor profiles, citation sources
- WebSearch — Local SERP analysis, citation discovery
- Cross-reference:
seo-schemafor LocalBusiness markup,references/quality-gates.mdfor location page thresholds
Output
Generate LOCAL-SEO-REPORT.md with:
- Local SEO Score (0-100)
- GBP Audit (completeness, optimization opportunities)
- NAP Consistency Report (citations, issues, fix priorities)
- Review Analysis (metrics, competitor comparison, strategy)
- Local Ranking Assessment (Pack visibility, organic rankings)
- Content Recommendations (service area pages, local content)
- Priority Action Plan
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.
- 7d ago First seen · 82 lines · 37 tokens per session scan A cd7db4b270c5
seo-local is an agent published in the GitHub repository 01clauding/claude-seo-skill (4 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 650 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.
Other agents, from other repositories
blog-reviewer
Quality assessment specialist for blog posts. Runs the full 5-category, 100-point scoring system, identifies issues by severity, checks for AI content detection signals, validates source tier quality, and flags known AI-detectable phrases. Invoked for quality review tasks during blog workflows.
blog-writer
Content generation specialist for blog posts. Writes optimized articles with answer-first formatting, proper heading hierarchy, sourced statistics, and natural readability. Follows the 6 pillars of dual optimization. Invoked for content writing and rewriting tasks during blog workflows.
blog-seo
SEO optimization specialist for blog posts. Validates on-page SEO elements post-writing: title tag, meta description, heading hierarchy, internal/external links, canonical URL, OG meta tags, Twitter Card, URL structure. Produces a pass/fail checklist with specific fixes.
seo-google
Google SEO API analyst. Fetches CWV field data via CrUX, indexation status via GSC, and organic traffic via GA4 for enriched audit data.
seo-sxo
Search Experience Optimization analyst. Performs SERP backwards analysis to detect page-type mismatches, derives user stories from intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized content fails to rank.
seo-schema
Schema markup expert. Detects, validates, and generates Schema.org structured data in JSON-LD format.