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-keyword-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-keyword-analysis)<a href="https://agentmods.dev/skills/superamped/ai-marketing-skills/competitor-keyword-analysis"><img src="https://agentmods.dev/badge/skills/superamped/ai-marketing-skills/competitor-keyword-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-keyword-analysis"><img src="https://agentmods.dev/badge/skills/superamped/ai-marketing-skills/competitor-keyword-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 | $0.00050 | $0.00702 |
| Opus 5 | $0.00025 | $0.00351 |
| Sonnet 5 | $0.00010 | $0.00140 |
| Haiku 4.5 | $0.00005 | $0.00070 |
Grade A, and why
competitor-keyword-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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Keyword Analysis
Usage
Use for a quick SEO snapshot of a competitor's organic presence, or as input to competitor-content-analysis for deeper content strategy mapping.
Process
Step 1: Gather Inputs
Ask the user for:
- Competitor name — the company to analyze
- Competitor domain — e.g.,
example.com(no protocol) - Country code (optional) — defaults to "us"
Step 2: Validate MCP
Check that Keywords Everywhere MCP is connected.
If not connected, return empty data with the note: "Keywords Everywhere MCP not configured — SEO data not available." Don't block the user — return gracefully.
Step 3: Domain Keywords
Pull get_domain_keywords:
- domain: competitor domain
- country: from input or "us"
- num: 100
This returns the top keywords the competitor ranks for, with estimated monthly traffic and SERP position per keyword.
Step 4: Traffic Metrics
Pull get_domain_traffic_metrics:
- domains: [competitor domain]
- country: same as Step 3
This returns estimated monthly organic traffic and total ranking keywords for the domain.
Step 5: Cluster into Content Themes
Group the top keywords into 3-5 content themes by topic similarity. For each theme:
- Theme name — descriptive label (e.g., "project management guides", "pricing comparisons")
- Keywords in theme — count
- Combined estimated traffic — sum of traffic for keywords in the theme
- Top keyword — highest-traffic keyword in the theme
These themes represent the competitor's content pillars from an SEO perspective.
Output Format
# Keyword Analysis: [Competitor Name]
**Domain:** [domain]
**Date:** [current date]
**Estimated monthly organic traffic:** [X]
**Total ranking keywords:** [X]
## Top Keywords
| Keyword | Est. Monthly Traffic | SERP Position |
|---------|---------------------|---------------|
| | | |
## Content Themes
| Theme | Keywords | Combined Traffic | Top Keyword |
|-------|----------|-----------------|-------------|
| | | | |
## Data Sources
- Keywords Everywhere: connected / not connected
- Country: [code]
- Domain keywords pulled: [count]
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 · 95 lines · 50 tokens per session scan A 176c2c8766a6
competitor-keyword-analysis is a skill published in the GitHub repository superamped/ai-marketing-skills (67 stars, last pushed 25d ago), licensed MIT. It adds 50 tokens to every session and 702 once invoked, about $0.0003 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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