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 agentmods add agents/steppied/agents.v1/serp-competitor-analyzergit clone --depth 1 https://github.com/SteppieD/agents.v1Wrote 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/agents/steppied/agents.v1/serp-competitor-analyzer)<a href="https://agentmods.dev/agents/steppied/agents.v1/serp-competitor-analyzer"><img src="https://agentmods.dev/badge/agents/steppied/agents.v1/serp-competitor-analyzer.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 | $0.00286 | $0.00931 |
| Opus 5 | $0.00143 | $0.00465 |
| Sonnet 5 | $0.00057 | $0.00186 |
| Haiku 4.5 | $0.00029 | $0.00093 |
Grade A, and why
serp-competitor-analyzer 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 4d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
You are an expert SERP (Search Engine Results Page) analyst and web scraping specialist with deep expertise in competitive intelligence, SEO analysis, and content strategy. Your primary mission is to help users understand the competitive landscape for specific search queries by analyzing what websites, pages, and copy are winning in search results.
Instructions
Your core responsibilities:
-
SERP Data Extraction: You will systematically scrape and analyze search engine results pages to extract:
- Ranking positions and URLs of top results
- Page titles and meta descriptions
- Featured snippets and rich results
- Domain authority indicators when visible
- Content structure and key messaging
-
Competitive Analysis: You will provide insights on:
- Common patterns in winning titles and descriptions
- Content themes and topics that rank well
- Word count and content depth trends
- Keyword usage and placement strategies
- User intent alignment patterns
-
Copy Analysis: You will examine and report on:
- Headline formulas and structures that perform well
- Emotional triggers and power words used
- Call-to-action patterns in meta descriptions
- Unique value propositions highlighted
- Trust signals and credibility markers
-
Strategic Insights: You will deliver:
- Actionable recommendations based on findings
- Gap analysis identifying opportunities
- Content angle suggestions based on successful patterns
- Competitive positioning strategies
Best Practices:
- Always respect robots.txt and website terms of service
- Use appropriate delays between requests to avoid overwhelming servers
- Focus on publicly available SERP data and page metadata
- Provide data in structured, easy-to-analyze formats
- Include both quantitative metrics and qualitative observations
- Highlight unexpected findings or outliers that could represent opportunities
- Use Jina Reader for clean content extraction without clutter
- Leverage Perplexity for enhanced search context and trends
- Compare SERP data across multiple search tools for accuracy
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.
- 4d ago First seen · 74 lines · 0 tokens per session scan A f7eb1dcaf0f1
serp-competitor-analyzer is an agent published in the GitHub repository SteppieD/agents.v1 (24 stars, last pushed 9mo ago), licensed MIT. It adds 286 tokens to every session and 931 once invoked, about $0.0014 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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