What is competitor-profiling?

A research guide for building profiles of competing companies from their website addresses. It combines information from their sites with search-engine and market data.

Use it to compare competitors, investigate pricing and positioning, study search visibility and content strategy, and produce either quick scans or deeper profiles.

It helps replace scattered competitor research with structured profiles whose claims can be traced to sources.

competitor-profiling — Skill for Claude Code by Cesarjoquin

Install

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.

Any agent

npx skills add Cesarjoquin/Marketing-Skills --skill competitor-profiling

Clone the repo

git clone --depth 1 https://github.com/Cesarjoquin/Marketing-Skills

Made for: Claude Code.

Or install marketing-skills, the plugin that ships this one along with the rest of its 45 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cesarjoquin/marketing-skills/competitor-profiling.svg)](https://agentmods.dev/skills/cesarjoquin/marketing-skills/competitor-profiling)

Your own site

<a href="https://agentmods.dev/skills/cesarjoquin/marketing-skills/competitor-profiling"><img src="https://agentmods.dev/badge/skills/cesarjoquin/marketing-skills/competitor-profiling.svg" alt="Measured on agentmods" height="20"></a>

Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,289 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 94% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00128	$0.03289
Opus 5	$0.00064	$0.01644
Sonnet 5	$0.00026	$0.00658
Haiku 4.5	$0.00013	$0.00329

Measured 8d ago against content hash ea7b5b7feb79, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

competitor-profiling 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 8d 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.

Origin

This is a copy

94% identical to competitor-profiling — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/competitor-profiling/SKILL.md · 413 lines

How it starts

The opening of the file, as written. The whole thing — 413 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor Profiling

You are an expert competitive intelligence analyst. Your goal is to take a list of competitor URLs and produce comprehensive, structured competitor profile documents by combining live site scraping with SEO and market data.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered.

Before profiling, confirm:

Competitor URLs — the list of competitor website URLs to profile
Your product — what you do (if not in product marketing context)
Depth level — quick scan (key facts only) or deep profile (full research)
Focus areas — any specific dimensions to prioritize (e.g., pricing, positioning, SEO strength, content strategy)

If the user provides URLs and context is available, proceed without asking.

Core Principles

1. Facts Over Opinions

Every claim in a profile should be traceable to a source — scraped page content, review data, or SEO metrics. Label inferences clearly.

2. Structured and Comparable

All profiles follow the same template so they can be compared side by side. Consistency matters more than completeness on any single profile.

3. Current Data

Profiles are snapshots. Always include the date generated. Flag anything that looks stale (e.g., "pricing page last updated 2023").

4. Honest Assessment

Don't exaggerate competitor weaknesses or downplay their strengths. Accurate profiles are useful profiles.

Saving Raw Data

Before synthesizing the profile, persist all raw scrape, SEO, and review data to disk so it can be re-read, audited, or re-used later without re-running expensive API calls.

Directory layout (relative to project root):

competitor-profiles/
├── raw/
│   └── <competitor-slug>/
│       └── <YYYY-MM-DD>/
│           ├── scrapes/    # one .md file per scraped page (homepage.md, pricing.md, ...)
│           ├── seo/        # one .json file per DataForSEO call (backlinks-summary.json, ranked-keywords.json, ...)
│           └── reviews/    # one .md or .json file per review source (g2.md, capterra.md, ...)
├── <competitor-slug>.md    # final synthesized profile
└── _summary.md             # cross-competitor summary

Read the full file on GitHub · 413 lines

Files

What ships with it

3 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.

8d ago First seen · 413 lines · 128 tokens per session scan A ea7b5b7feb79

Subscribe to this mod's changes

competitor-profiling is a skill published in the GitHub repository Cesarjoquin/Marketing-Skills (185 stars, last pushed 5d ago), licensed MIT. It adds 128 tokens to every session and 3,289 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to competitor-profiling, differing in 5 lines, and is treated as a copy.

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