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 Shipper-dot-now/conqueror-skills --skill conqueror-competitive-landscapegit clone --depth 1 https://github.com/Shipper-dot-now/conqueror-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/shipper-dot-now/conqueror-skills/conqueror-competitive-landscape)<a href="https://agentmods.dev/skills/shipper-dot-now/conqueror-skills/conqueror-competitive-landscape"><img src="https://agentmods.dev/badge/skills/shipper-dot-now/conqueror-skills/conqueror-competitive-landscape/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/shipper-dot-now/conqueror-skills/conqueror-competitive-landscape"><img src="https://agentmods.dev/badge/skills/shipper-dot-now/conqueror-skills/conqueror-competitive-landscape.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00051 | $0.00932 |
| Opus 5 | $0.00026 | $0.00466 |
| Sonnet 5 | $0.00010 | $0.00186 |
| Haiku 4.5 | $0.00005 | $0.00093 |
Grade A, and why
conqueror-competitive-landscape 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.
This is a copy
88% identical to competitive-landscape — 14 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conqueror Competitive Landscape
Goal
Answer: "Who is winning this SEO market, what content is working for them, and where are the openings?"
Use this when the user wants a market-level view across several competitors. For a deep dive on one domain, use conqueror-competitor-analysis.
Required inputs
projectId- Topic, seed keywords, market/category, or user's domain
- Optional known competitors
- Optional location/language
Conqueror MCP tools
research_keywords: discover representative market queries.get_keyword_metrics: validate known query sets with volume, difficulty, intent, and trends.get_serp_results: identify recurring ranking domains across target queries.find_serp_competitors: compare domains competing across supplied keywords; use this before manual SERP counting when a keyword set is available.get_domain_overview: size organic footprint for candidate leaders.get_search_console_performance: when the user's own domain is in the comparison and Search Console is connected, anchor their position with first-party clicks/impressions/CTR rather than third-party estimates.get_ranked_keywords: find exact ranking keywords, URLs, ranks, intents, and SERP result types for leaders.get_backlinks_overview: compare backlink/referring-domain strength where relevant.search_local_businesses,get_local_serp_results, andget_google_business_questions: use for local SEO markets where proximity, Maps rankings, business categories, reviews, or Google Q&A affect who is winning.
Workflow
- Define the market query set:
- Use provided keywords, or call
research_keywordsto build 5-10 representative queries. - Include mixed intent: informational, commercial, comparison, and tool/software terms when applicable.
- For local SEO, include neighborhood/city/service-area queries and identify the priority locations or coordinates.
- Use provided keywords, or call
- If the query set is already known, use
get_keyword_metricsto validate relative demand and difficulty andfind_serp_competitorsto identify recurring domains at scale. - For local SEO, call
search_local_businessesandget_local_serp_resultsfor the highest-priority location(s) before synthesizing winners. Useget_serp_resultsas a complement for organic pages, not as the only local evidence. - Call
get_serp_resultsfor representative queries when live SERP composition, ranking URLs, or SERP features need inspection. Send at most 10 queries per call. - Identify recurring domains and group them by type:
- Direct product competitors
- Publishers/media
- Marketplaces/directories
- Communities/forums
- Documentation/resources
- For the strongest recurring domains, call
get_domain_overview; default to the top 3-5 domains before expanding. - For direct competitors and relevant publishers, call
get_ranked_keywords. - Use
get_backlinks_overviewwhen backlink authority appears important or the user asks why a domain is winning. Backlinks may be unavailable if the account has not enabled that data; continue with SERP/domain evidence if it fails. - Synthesize patterns: content types, themes, SERP formats, local-pack signals, authority advantages, and underserved angles.
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.
- 10d ago First seen · 81 lines · 51 tokens per session scan A ea77e1d711f3
conqueror-competitive-landscape is a skill published in the GitHub repository Shipper-dot-now/conqueror-skills (0 stars, last pushed 19d ago), licensed MIT. It adds 51 tokens to every session and 932 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to competitive-landscape, differing in 14 lines, and is treated as a copy.
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