competitor-analysis

competitor-analysis is a skill for Claude Code, Codex from serejaris/kimi-skills. It costs 64 tokens per session (2,368 once invoked), scanned A, original, MIT.

A research tool for comparing how competing websites appear in search results and in answers produced by AI systems. SEO means improving a website's visibility in search engines; GEO here means improving its visibility in generative-AI answers.

In plain words
What is it for?
Use it when entering a market, planning content, finding content gaps or backlink opportunities, and comparing competitors' search and AI citation strategies.
Why use it?
It helps explain why competitors rank higher, what content and links support them, and which topics or opportunities they may be missing.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions Claude Code; built for openclaw.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is See [CONNECTORS.md](../../CONNECTORS.md) for tool category placeholders..

Good fit Use it when entering a market, planning content, finding content gaps or backlink opportunities, and comparing competitors' search and AI citation strategies.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/serejaris/kimi-skills
agentmods
npx agentmods add skills/serejaris/kimi-skills/competitor-analysis

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for competitor-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/serejaris/kimi-skills/competitor-analysis/github.svg)](https://agentmods.dev/skills/serejaris/kimi-skills/competitor-analysis)
Your own site
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/competitor-analysis"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/competitor-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.

agentmods 80×15 button for competitor-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/competitor-analysis"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,368 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.02368
Opus 5 $0.00032 $0.01184
Sonnet 5 $0.00013 $0.00474
Haiku 4.5 $0.00006 $0.00237

Measured 10d ago against content hash 3f91c4fbf915, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

competitor-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 10d 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.

skills/competitor-analysis/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor Analysis

SEO & GEO Skills Library · 20 skills for SEO + GEO · Install all: npx skills add aaron-he-zhu/seo-geo-claude-skills

Research · keyword-research · competitor-analysis · serp-analysis · content-gap-analysis

Build · seo-content-writer · geo-content-optimizer · meta-tags-optimizer · schema-markup-generator

Optimize · on-page-seo-auditor · technical-seo-checker · internal-linking-optimizer · content-refresher

Monitor · rank-tracker · backlink-analyzer · performance-reporter · alert-manager

Cross-cutting · content-quality-auditor · domain-authority-auditor · entity-optimizer · memory-management

This skill provides comprehensive analysis of competitor SEO and GEO strategies, revealing what's working in your market and identifying opportunities to outperform the competition.

When to Use This Skill

  • Entering a new market or niche
  • Planning content strategy based on competitor success
  • Understanding why competitors rank higher
  • Finding backlink and partnership opportunities
  • Identifying content gaps competitors are missing
  • Analyzing competitor AI citation strategies
  • Benchmarking your SEO performance

Read the full file on GitHub · 261 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 10d ago First seen · 261 lines · 64 tokens per session scan A 3f91c4fbf915

Subscribe to this mod's changes

competitor-analysis is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 2,368 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 2026-08-31.

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