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 local-falcon/mcp --skill local-falcon-mcpgit clone --depth 1 https://github.com/local-falcon/mcpWrote 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/local-falcon/mcp/local-falcon-mcp)<a href="https://agentmods.dev/skills/local-falcon/mcp/local-falcon-mcp"><img src="https://agentmods.dev/badge/skills/local-falcon/mcp/local-falcon-mcp/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/local-falcon/mcp/local-falcon-mcp"><img src="https://agentmods.dev/badge/skills/local-falcon/mcp/local-falcon-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00181 | $0.03774 |
| Opus 5 | $0.00090 | $0.01887 |
| Sonnet 5 | $0.00036 | $0.00755 |
| Haiku 4.5 | $0.00018 | $0.00377 |
Grade A, and why
local-falcon-mcp 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 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.
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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local Falcon MCP Skill
Overview
Local Falcon is an AI-powered local search intelligence platform that monitors business visibility across AI search engines (ChatGPT, Gemini, Grok, Google AI Overviews, AI Mode) and traditional map platforms (Google Maps, Apple Maps), provides AI sentiment analysis via AI-powered scan reports, and delivers deep research review reports. The Local Falcon MCP provides 37 tools for AI visibility monitoring, geo-grid ranking analysis, competitive intelligence, campaign management, GBP monitoring, review analysis, and knowledge base access.
The individual tool descriptions explain what each tool does and its parameters. This skill teaches you how to think strategically about Local Falcon data: which tools to combine for common tasks, how to interpret metrics in context, and how to translate raw data into actionable recommendations.
Always use the term "Google Business Profile" or "GBP." Never say "Google My Business" or "GMB" — it was rebranded in 2021.
Core Metrics — Quick Reference
Ranking Metrics
ARP (Average Rank Position): Average ranking across grid points where the business appears. Measures ranking quality when visible. Lower is better. Does not account for grid points where the business is absent — a business with ARP 2.0 that only appears on 10% of the grid has excellent quality but terrible coverage.
ATRP (Average Total Rank Position): Average ranking across ALL grid points, counting non-appearances as position 21. The primary overall visibility metric because it captures both ranking quality and geographic coverage. When ARP and ATRP diverge significantly (e.g., ARP 4.0 vs. ATRP 16.0), the business ranks well where it shows up but is invisible across most of the scan area.
SoLV (Share of Local Voice): Percentage of grid points where the business ranks in the top 3 (the map pack). Maps-only metric — Google Maps and Apple Maps. This is the single most important metric for map-based visibility because the top 3 positions capture the vast majority of clicks. Do not use for AI platform scans.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 226 lines · 181 tokens per session scan A 42c2c0af1f08
local-falcon-mcp is a skill published in the GitHub repository local-falcon/mcp (23 stars, last pushed yesterday), licensed MIT. It adds 181 tokens to every session and 3,774 once invoked, about $0.0009 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 2026-08-30.
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