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 superamped/ai-marketing-skills --skill competitor-site-analysisgit clone --depth 1 https://github.com/superamped/ai-marketing-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/superamped/ai-marketing-skills/competitor-site-analysis)<a href="https://agentmods.dev/skills/superamped/ai-marketing-skills/competitor-site-analysis"><img src="https://agentmods.dev/badge/skills/superamped/ai-marketing-skills/competitor-site-analysis/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/superamped/ai-marketing-skills/competitor-site-analysis"><img src="https://agentmods.dev/badge/skills/superamped/ai-marketing-skills/competitor-site-analysis.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 | $0.00047 | $0.01313 |
| Opus 5 | $0.00023 | $0.00656 |
| Sonnet 5 | $0.00009 | $0.00263 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade A, and why
competitor-site-analysis 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Site Analysis
Usage
Use for a quick website data pull on a competitor, or as a first step before deeper analysis. Produces a structured 5-section profile from publicly available website information.
Process
Step 1: Gather Inputs
Ask the user for:
- Competitor name — the company to analyze
- Competitor URL — their homepage URL
- Specific sections to focus on (optional) — default: all 5
Step 2: Validate & Fetch
Confirm you have competitor name and URL. Fetch the homepage to verify it's reachable.
If the site is unreachable, behind a login wall, or returns errors — tell the user and stop.
Step 3: Fetch Website Pages
Fetch up to 6 pages. Adapt URLs based on what the site actually has — not every site uses the same paths.
| Page | Typical URLs to Try | What to Extract |
|---|---|---|
| Homepage | / |
Tagline, headline, value prop, target audience signals, trust badges, social proof |
| Pricing | /pricing, /plans |
Model, tiers, price points, value metric, free tier, annual discount, trial, feature-by-tier gating |
| Features | /features, /product |
Key features, integrations, platform capabilities |
| About | /about, /about-us, /company |
Founded, team size signals, stage/funding signals, mission |
| Customers | /customers, /case-studies |
Customer logos, testimonials, case study count, industries served |
| Careers | /careers, /jobs, /about/careers |
Open roles by department, total headcount signals, strategic hiring patterns |
If a page doesn't exist (404, redirect to homepage), skip it and note "not found" for that section. Don't guess.
Step 4: Structure Findings
Organize extracted data into 5 sections:
Section 1: Company Overview
- Tagline (their words, not yours)
- Founded / age signals
- Stage / funding signals (bootstrapped, seed, Series X — based on about page, team size, office count)
- Team size signals (exact if stated, otherwise estimate from about page)
- Headquarters / markets
- Primary GTM motion: PLG / sales-led / content-led / community-led (based on homepage CTA — "Start free" vs. "Book a demo" vs. both)
- Partnerships / integrations as distribution (from features page or homepage)
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 · 137 lines · 47 tokens per session scan A 0fe41be915a4
competitor-site-analysis is a skill published in the GitHub repository superamped/ai-marketing-skills (67 stars, last pushed 25d ago), licensed MIT. It adds 47 tokens to every session and 1,313 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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