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 seranking/seo-skills --skill seo-competitor-pagesgit clone --depth 1 https://github.com/seranking/seo-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/seranking/seo-skills/seo-competitor-pages)<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-competitor-pages"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-competitor-pages/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/seranking/seo-skills/seo-competitor-pages"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-competitor-pages.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 | $0.00119 | $0.02417 |
| Opus 5 | $0.00060 | $0.01208 |
| Sonnet 5 | $0.00024 | $0.00483 |
| Haiku 4.5 | $0.00012 | $0.00242 |
Grade A, and why
seo-competitor-pages 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- seo-competitor-pages — 88% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Example output: examples/seo-competitor-pages-linear-vs-jira-20260514/COMPARISON.md
Competitor Comparison & Alternatives Pages
Produce conversion-tuned landing pages targeting comparative-intent keywords ("X vs Y", "alternatives to X", "best X for Y"). The deliverable is a paste-ready page draft with feature matrix, balanced verdict, schema markup, and a CTA flow that converts comparison-stage traffic.
Page types this skill produces
- "X vs Y" head-to-head — direct comparison between two products/services. Target keyword:
[Product A] vs [Product B]. - "Alternatives to X" — listicle-format page positioning the user's product as one of N alternatives to a category leader. Target keyword:
[Competitor] alternativesoralternatives to [Competitor]. - "Best X for Y" — segmented best-of page targeting a use case or audience. Target keyword:
best [category] for [use case].
Prerequisites
- SE Ranking MCP server connected.
- Claude's
WebFetchtool available. - User provides: (a) the user's brand/product (the page's hero), (b) target competitor(s) — at least one, optionally up to 5 for an alternatives page, (c) page type (auto-detected from the keyword if user doesn't specify), (d) target country (default
us).
Process
-
Validate & determine page type
- From the user's input, detect: vs / alternatives / best-of.
- If page type unclear, ask the user. Don't guess silently.
-
Pull competitor context
DATA_getDomainCompetitors- For the user's domain, list top organic competitors by
common_keywordsoverlap. - Validate that the user's named competitor is in the list (or close).
- For the user's domain, list top organic competitors by
-
Pull keyword data per brand
DATA_getDomainKeywords- For the user's domain and each named competitor, pull top 100 organic keywords.
- Identify: keywords each brand owns exclusively, keywords both rank for, gaps.
-
Pull comparative SERPs
DATA_getSerpResultsandDATA_getKeywordQuestions- For "X vs Y" / "alternatives to X" / "best X for Y" target keyword(s):
- Top 10 organic results — who else ranks for this comparative keyword?
- PAA questions (these become FAQ section content).
- Featured snippet (if present, capture the answer pattern).
- For "X vs Y" / "alternatives to X" / "best X for Y" target keyword(s):
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.
- 11d ago First seen · 169 lines · 119 tokens per session scan A 8dcba9d5a3b4
seo-competitor-pages is a skill published in the GitHub repository seranking/seo-skills (139 stars, last pushed 2mo ago), licensed MIT. It adds 119 tokens to every session and 2,417 once invoked, about $0.0006 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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