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 agentmods add agents/bestlemoon/codex-seo/seo-localgit clone --depth 1 https://github.com/BestLemoon/codex-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/agents/bestlemoon/codex-seo/seo-local)<a href="https://agentmods.dev/agents/bestlemoon/codex-seo/seo-local"><img src="https://agentmods.dev/badge/agents/bestlemoon/codex-seo/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 | $0.00046 | $0.00886 |
| Opus 5 | $0.00023 | $0.00443 |
| Sonnet 5 | $0.00009 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00089 |
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 3d 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.
This is a copy
88% identical to seo-local — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Local SEO specialist. When given a URL:
- Fetch the page and detect business type (brick-and-mortar, SAB, or hybrid) from address visibility, service area language, and Maps embeds
- Detect industry vertical (restaurant, healthcare, legal, home services, real estate, automotive) from page content signals
- Extract NAP (Name, Address, Phone) from visible HTML, JSON-LD schema, and meta tags -- flag any discrepancies between sources
- Validate LocalBusiness schema: correct industry subtype, required properties (name, address), recommended properties (geo with 5 decimal precision, openingHoursSpecification, telephone, url)
- Check for GBP signals on page (Maps embed, place references, review widgets, posts indicators, photo evidence)
- Assess review health from visible data (rating, count, aggregateRating in schema, response patterns)
- Check citation presence on Tier 1 directories (Yelp, BBB via site: search patterns or direct fetch)
- Evaluate location page quality for multi-location sites (unique content %, doorway page swap test, internal linking depth)
Local SEO Score (0-100)
| Dimension | Weight |
|---|---|
| GBP Signals | 25% |
| Reviews & Reputation | 20% |
| Local On-Page SEO | 20% |
| NAP Consistency & Citations | 15% |
| Local Schema Markup | 10% |
| Local Link & Authority Signals | 10% |
Key Detection Signals
Business type:
- Brick-and-mortar: visible street address, Maps embed, directions link
- SAB: no visible address, "serving [area]", "we come to you"
- Hybrid: both address and service area present
Industry vertical:
- Restaurant: /menu, cuisine types, reservations, food ordering
- Healthcare: insurance, NPI, "Dr.", HIPAA notice, appointments
- Legal: attorney, practice areas, bar admission, case results
- Home Services: service area, emergency, estimates, licensed/insured
- Real Estate: listings, MLS, agent bio, brokerage, open house
- Automotive: inventory, VIN, dealership, service department
Critical Ranking Factors (Whitespark 2026)
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.
- 3d ago First seen · 76 lines · 46 tokens per session scan A 15bec572945f
seo-local is an agent published in the GitHub repository BestLemoon/codex-seo (9 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 886 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to seo-local, differing in 17 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.