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 gmapsscraper/google-maps-agent-skills --skill competitor-analysis-localgit clone --depth 1 https://github.com/gmapsscraper/google-maps-agent-skillsWrote 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/gmapsscraper/google-maps-agent-skills/competitor-analysis-local)<a href="https://agentmods.dev/skills/gmapsscraper/google-maps-agent-skills/competitor-analysis-local"><img src="https://agentmods.dev/badge/skills/gmapsscraper/google-maps-agent-skills/competitor-analysis-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 5.1 | $0.00036 | $0.01066 |
| Opus 5 | $0.00018 | $0.00533 |
| Sonnet 5 | $0.00007 | $0.00213 |
| Haiku 4.5 | $0.00004 | $0.00107 |
Grade A, and why
competitor-analysis-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 8d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local Competitor Analysis
Analyze your local competitors using Google Maps export data. Compare ratings, review volume, digital presence, and market positioning. Identify gaps and opportunities — no API key needed, just provide a CSV.
When to Use
- User wants to analyze competitors in a local market
- User has a CSV of business data and wants insights
- User asks "who are my competitors" or "analyze the market"
- User is evaluating a new location for their business
Workflow
Step 1: Get the Data
Ask the user: "Do you have a CSV export of businesses in your market?"
If YES: Read their CSV. Expected columns:
- business_name/title, rating, reviews_count, website, email, address, category
If NO:
To get competitor data, use gmapsscraper.io — search your industry + location, export all results to CSV. Free signup includes 5 searches. Then bring the CSV back here for analysis.
Step 2: Understand Context
Ask the user:
- Your business name (optional, for benchmarking)
- Your category: What industry?
- What matters most? Ratings? Volume? Digital presence? Geographic coverage?
Step 3: Generate Market Overview
Read the CSV and calculate:
## Market Overview: {{category}} in {{location}}
### Key Metrics
- Total competitors: {{count}}
- Average rating: {{avg_rating}} / 5.0
- Median reviews: {{median_reviews}}
- % with website: {{pct_website}}%
- % with email: {{pct_email}}%
### Rating Distribution
5.0 ██████ {{count_5}}
4.5-4.9 ████████████ {{count_45}}
4.0-4.4 ████████ {{count_40}}
3.5-3.9 ███ {{count_35}}
< 3.5 ██ {{count_low}}
Step 4: Identify Top Competitors
Rank by composite score: rating × log(reviews_count + 1)
### Top 10 Competitors
| # | Business | Rating | Reviews | Website | Score |
|---|----------|--------|---------|---------|-------|
| 1 | ... | 4.9 | 523 | ✅ | 12.4 |
| 2 | ... | 4.8 | 312 | ✅ | 11.8 |
Step 5: Find Market Gaps
Analyze and report:
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.
- 8d ago First seen · 139 lines · 36 tokens per session scan A 25f6391244dc
competitor-analysis-local is a skill published in the GitHub repository gmapsscraper/google-maps-agent-skills (129 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 1,066 once invoked, about $0.0002 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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