Borrowing it
Nothing to install: this file belongs to mits-pl/wove. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mits-pl/wove/main/.claude/skills/seo-local/SKILL.mdgit clone --depth 1 https://github.com/mits-pl/woveWrote 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/mits-pl/wove/seo-local)<a href="https://agentmods.dev/skills/mits-pl/wove/seo-local"><img src="https://agentmods.dev/badge/skills/mits-pl/wove/seo-local/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/mits-pl/wove/seo-local"><img src="https://agentmods.dev/badge/skills/mits-pl/wove/seo-local.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 | $0.00120 | $0.03897 |
| Opus 5.5 | $0.00048 | $0.01559 |
| Sonnet 5.5 | $0.00024 | $0.00779 |
| Haiku 4.5 | $0.00012 | $0.00390 |
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 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-local — 77 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 — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local SEO Analysis (March 2026)
Key Statistics
| Metric | Value | Source |
|---|---|---|
| GBP signals share of local pack weight | 32% | Whitespark 2026 |
| Proximity share of ranking variance | 55.2% | Search Atlas ML study |
| Review signals share (up from 16%) | ~20% | Whitespark 2026 |
| Google searches seeking local info | 46% | Industry data |
| Mobile "near me" searches leading to visit in 24h | 76% | Google confirmed |
| ChatGPT/AI usage for local recommendations | 45% (up from 6%) | BrightLocal LCRS 2026 |
| ChatGPT local conversion rate | 15.9% | Seer Interactive |
| Google organic local conversion rate | 1.76% | Seer Interactive |
| Local pack ads growth (Jan 2025 to Jan 2026) | 1% to 22% | Sterling Sky |
Business Type Detection
Detect from page signals before analysis. This determines which checks apply.
Brick-and-Mortar
- Physical street address visible in page content or footer
- Google Maps embed with pin/directions
- "Visit us at", "Located at", "Come see us"
- Structured address in LocalBusiness schema
Service Area Business (SAB)
- No visible physical address
- Service area mentions: "serving [city/region]", "service area includes"
- "We come to you", "On-site service", "Mobile [service]"
areaServedin schema withoutaddress.streetAddress
Hybrid
- Both physical address AND service area language present
- "Visit our showroom" combined with "We also serve [areas]"
Impact on checks: SABs skip embedded map verification and physical address consistency. Brick-and-mortar gets full NAP + map checks.
Industry Vertical Detection
Detect from page signals and GBP category patterns. Routes to industry-specific checks from references/local-schema-types.md.
| Vertical | Detection Signals |
|---|---|
| Restaurant | /menu, menu items, reservations, cuisine types, food ordering, "dine-in", "takeout" |
| Healthcare | insurance accepted, patients, appointments, NPI, medical terms, "Dr.", HIPAA notice |
| Legal | attorney, lawyer, practice areas, bar admission, case results, "free consultation" |
| Home Services | service area, emergency service, "free estimate", licensed/insured/bonded, "24/7" |
| Real Estate | listings, MLS, properties for sale/rent, agent bio, brokerage, "open house" |
| Automotive | inventory, VIN, test drive, dealership, service department, "new/used/certified" |
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 · 319 lines · 120 tokens per session scan A 36d956982a44
seo-local is a skill published in the GitHub repository mits-pl/wove (42 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 120 tokens to every session and 3,897 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to seo-local, differing in 77 lines, and is treated as a copy.
Other skills, from other repositories
build-teaql-app
Build or change a TeaQL application in Java, Rust, Go, Swift, Python, C#/.NET, or TypeScript, including Kotlin/JVM applications that consume Java-generated libraries. Mandatory order: first draft and save a complete KSML model, then verify the client and evaluate that saved model, repair it through repeated evaluation…
context-exclusion
Maintain .agent-no-read.md markers for approved generated directories using deterministic scripts. Use when configuring generated-code context exclusion or restoring markers after regeneration, not for ordinary ignore rules or OS permissions.
context-lifecycle
Author, review, or integrate Agent Context Lifecycle Protocol V1 declarations and adapters. Use for explicit ephemeral messages, persistent named blocks, trusted discard controls, or agent compatibility questions; do not claim Codex itself can rewrite prior request history.
batch-api
Prepare a many-file, single-turn transform (translate, rewrite, extract) as a plan and submit it to the asynchronous, half-price DashScope Batch API; results are delivered as new files hours later. Invoke explicitly with /batch-api.
repo-hygiene
Use when the scheduled repo-hygiene workflow runs from GitHub Actions (or an operator dry-run) to scan the repository for small, certain docs/test/code hygiene issues and fix them as one batched branch.
test-failure-explorer
Import and query an existing Vitest 3.2 JSON report to explore test failures, file-level errors and original diagnostic evidence.