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 mshahiddigital/agentic-local-seo-audit --skill voice-searchgit clone --depth 1 https://github.com/mshahiddigital/agentic-local-seo-auditWrote 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/mshahiddigital/agentic-local-seo-audit/voice-search)<a href="https://agentmods.dev/skills/mshahiddigital/agentic-local-seo-audit/voice-search"><img src="https://agentmods.dev/badge/skills/mshahiddigital/agentic-local-seo-audit/voice-search/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/mshahiddigital/agentic-local-seo-audit/voice-search"><img src="https://agentmods.dev/badge/skills/mshahiddigital/agentic-local-seo-audit/voice-search.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 | $0.00061 | $0.04097 |
| Opus 5 | $0.00030 | $0.02048 |
| Sonnet 5 | $0.00012 | $0.00819 |
| Haiku 4.5 | $0.00006 | $0.00410 |
Grade A, and why
voice-search scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| HTTPS | All pages | `curl -I https://[domain]` | How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Search Optimization Audit — Phase 18
Executive Summary
Voice search in 2025–2026 is no longer just smart speakers — it's the entire AI conversational interface layer. Google's voice-driven AI Mode, iOS 18 Siri with deep web integration, and AI Overview voice results on mobile collectively account for 27% of mobile searches (Google internal data, 2024). "Near me" searches have grown 200%+ over 5 years. Optimizing for voice = optimizing for AI answer extraction. Local businesses missing voice optimization lose 20–30% of mobile intent queries to competitors.
Tools for This Phase
| Tool | Purpose | Cost |
|---|---|---|
| Google PageSpeed Insights | Mobile speed — voice results require > 70 mobile score | Free |
| Google Rich Results Test | FAQPage, HowTo, Speakable schema validation | Free |
| Google Search | Test "near me" + conversational queries — does AIO appear? | Free |
| ChatGPT | Test voice-style queries — is client mentioned? | Free/Paid |
| Perplexity | AI search visibility test for local queries | Free |
| Google Maps / GBP | Confirm GBP completeness for voice data extraction | Free |
| AlsoAsked.com | Question clusters for FAQ + voice query mapping | Freemium |
| AnswerThePublic | Conversational query patterns per service topic | Freemium |
| BrightLocal | Citation consistency check — NAP for voice accuracy | Paid |
Step 1: Read Project Context
Read {AUDIT_DIR}/intake-data.md — business name, URL, location, services.
Read {AUDIT_DIR}/local-findings.md — GBP completeness (critical for local voice queries).
Read {AUDIT_DIR}/speed-findings.md — mobile speed score (voice requirement: > 70/100 PSI).
2025–2026 Voice Search Context
Where voice queries originate:
| Platform | Query Type | Local Business Impact |
|---|---|---|
| Google Assistant (Android + mobile) | "Near me", "Open now", hours, directions | Critical — highest local volume |
| Siri (iOS 18+) | Business info, hours, services | High — uses Apple Maps + web |
| Google AI Mode | Conversational follow-up queries | Critical — replacing traditional SERP |
| AI Overviews (voice trigger) | "How to", "What is", "Best [service] in" | High — appears for 20–35% local queries |
| Alexa / Google Home | "Find a [service] near me", business hours | Medium — smart home user base |
| ChatGPT / Perplexity voice | "Best [service] in [city]" recommendations | Growing — AI-first searchers |
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.
- 12d ago First seen · 343 lines · 61 tokens per session scan A 93c401beb66e
voice-search is a skill published in the GitHub repository mshahiddigital/agentic-local-seo-audit (20 stars, last pushed 5mo ago), licensed MIT. It adds 61 tokens to every session and 4,097 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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