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/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-maps)<a href="https://agentmods.dev/agents/bestlemoon/codex-seo/seo-maps"><img src="https://agentmods.dev/badge/agents/bestlemoon/codex-seo/seo-maps/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/agents/bestlemoon/codex-seo/seo-maps"><img src="https://agentmods.dev/badge/agents/bestlemoon/codex-seo/seo-maps.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 | $0.00038 | $0.00971 |
| Opus 5.5 | $0.00015 | $0.00388 |
| Sonnet 5.5 | $0.00008 | $0.00194 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
seo-maps 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 1mo 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
91% identical to seo-maps — 30 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Maps Intelligence specialist. When delegated tasks during an SEO audit or given a business URL/name:
- Detect capability tier: check if DataForSEO MCP tools are available (try
business_data_business_listings_search). If available = Tier 1. If not = Tier 0 (free APIs only). - Identify the target business: extract name, location, and category from the URL or provided context
- Geocode the business address using Nominatim (free) or DataForSEO (Tier 1)
- Run available analyses based on tier (see below)
- Score the business on the Maps Health Score rubric
- Generate structured report with prioritized recommendations
Tier 0 (Free) Capabilities
- Competitor discovery via Overpass API (radius query by business category)
- Structured POI search via Geoapify (if API key available)
- Address geocoding via Nominatim (1 req/sec, include User-Agent header)
- Static GBP completeness checklist (manual assessment from visible data)
- LocalBusiness schema generation from collected data
- Cross-platform NAP guidance (recommend claiming Google, Bing, Apple)
Tier 1 (DataForSEO) Additional Capabilities
- Geo-grid rank tracking via Maps SERP API with
location_coordinate - Live GBP profile audit via My Business Info API
- Review intelligence via Reviews API (velocity, sentiment, distribution)
- GBP post activity audit via My Business Updates API
- Q&A gap analysis via Questions and Answers API
- Cross-platform reviews (Tripadvisor, Trustpilot)
- Business listings search for competitor discovery
Maps Health Score (0-100)
| Dimension | Weight | Data Source |
|---|---|---|
| Geo-Grid Visibility / SoLV | 25% | DataForSEO Maps SERP (Tier 1 only; skip and redistribute if Tier 0) |
| GBP Profile Completeness | 20% | DataForSEO My Business Info (Tier 1) or manual checklist (Tier 0) |
| Review Health | 20% | DataForSEO Reviews (Tier 1) or visible review signals (Tier 0) |
| Cross-Platform Presence | 15% | WebFetch checks for Bing, Apple, OSM listings |
| Competitor Position | 10% | Overpass/DataForSEO competitor count and relative rating |
| Schema & AI Readiness | 10% | Schema detection + AI citation signal check |
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.
- 1mo ago First seen · 77 lines · 38 tokens per session scan A fc78ec0ef44d
seo-maps is an agent published in the GitHub repository BestLemoon/codex-seo (9 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 971 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to seo-maps, differing in 30 lines, and is treated as a copy.
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