conqueror-competitor-analysis

conqueror-competitor-analysis is a skill for Claude Code, Codex from Shipper-dot-now/conqueror-skills. It costs 46 tokens per session (929 once invoked), scanned A, a copy of competitor-analysis, MIT.

A research workflow for examining one named competitor's visibility in search engines. It uses a connected Conqueror service to inspect rankings, search traffic, content topics, links from other sites, and weaknesses.

In plain words
What is it for?
Use it to study a competitor domain, its ranking keywords and pages, backlinks, estimated organic performance, and overlap with your own site when Search Console is connected.
Why use it?
It gathers several parts of a competitor's search presence in one analysis, making it easier to decide what to copy, avoid, or compete against.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to study a competitor domain, its ranking keywords and pages, backlinks, estimated organic performance, and overlap with your own site when Search Console is connected.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shipper-dot-now/conqueror-skills/conqueror-competitor-analysis
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 Shipper-dot-now/conqueror-skills --skill conqueror-competitor-analysis
Clone the repo
git clone --depth 1 https://github.com/Shipper-dot-now/conqueror-skills

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 conqueror-competitor-analysis

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/shipper-dot-now/conqueror-skills/conqueror-competitor-analysis"><img src="https://agentmods.dev/badge/skills/shipper-dot-now/conqueror-skills/conqueror-competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 929 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 91% 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00929
Opus 5 $0.00023 $0.00464
Sonnet 5 $0.00009 $0.00186
Haiku 4.5 $0.00005 $0.00093

Measured 8d ago against content hash 785cc411a7cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

conqueror-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 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

91% identical to competitor-analysis — 23 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/conqueror-competitor-analysis/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conqueror Competitor Analysis

Goal

Analyze one competitor deeply enough to decide what to learn from, avoid, counter-position against, or outrank.

Use this for a named competitor. For identifying the market leaders first, use conqueror-competitive-landscape.

Required inputs

  • projectId
  • Competitor domain
  • User's domain when comparison is requested
  • Optional topic/category/location/language

Conqueror MCP tools

  • get_domain_overview: baseline organic traffic and keyword count.
  • get_search_console_performance: when comparing to the user's own domain and Search Console is connected, use it as the first-party baseline (real clicks/impressions/CTR/position) instead of estimating the user's own performance from third-party data.
  • get_ranked_keywords: exact keyword, URL, rank, intent, traffic, CPC, and SERP-type rows for the competitor domain or page.
  • get_backlinks_overview: backlink/referring-domain profile.
  • find_serp_competitors: validate whether the named competitor is a real search competitor across the target keyword set.
  • search_local_businesses, get_local_serp_results, and get_google_business_questions: use for local SEO competitors when Maps/local-pack visibility, nearby businesses, categories, or Google Q&A matter.
  • get_serp_results: validate direct head-to-head SERPs for important keywords.
  • research_keywords: expand gaps or category terms when needed.

Workflow

  1. Call get_domain_overview for the competitor, passing provided location/language when supported.
  2. If comparing to the user, call get_domain_overview for the user's domain too — and if Search Console is connected, get_search_console_performance for the user's real baseline.
  3. Call get_ranked_keywords for the competitor. Use filters like maxRank, minSearchVolume, excludeBrandTerms, and resultTypes to keep rows relevant.
  4. If comparing to the user, call get_ranked_keywords for the user's domain/page too, or use get_serp_results for the shared terms when a lighter check is enough.
  5. For local SEO, use search_local_businesses and get_local_serp_results around the relevant business location(s) before drawing local-pack conclusions. Add get_google_business_questions only when Q&A evidence matters.
  6. Use find_serp_competitors when the competitor was supplied by the user but its search overlap is unclear.
  7. Group competitor keywords into themes:
    • Product/category terms
    • Alternatives/comparisons
    • Templates/tools/calculators
    • Educational guides
    • Branded demand
    • Local/neighborhood terms when relevant
  8. Call get_backlinks_overview for the competitor, especially if authority appears to explain rankings. Continue without backlink evidence if it is unavailable.
  9. Use get_serp_results for important shared or target keywords to compare positioning, passing provided location/language when supported.
  10. Produce an actionable plan:
    • What they are doing well
    • Where they are vulnerable
    • Which pages/keywords to pursue
    • What to avoid copying

Read the full file on GitHub · 84 lines

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. 8d ago First seen · 84 lines · 46 tokens per session scan A 785cc411a7cf

Subscribe to this mod's changes

conqueror-competitor-analysis is a skill published in the GitHub repository Shipper-dot-now/conqueror-skills (0 stars, last pushed 17d ago), licensed MIT. It adds 46 tokens to every session and 929 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to competitor-analysis, differing in 23 lines, and is treated as a copy.

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