OpenSEO is an open-source SEO platform for keyword research, rank tracking, competitor analysis, backlink analysis, site audits, and AI visibility work. It connects SEO data to AI agents through an MCP server and reusable agent skills, while allowing users to supply their own DataForSEO API key and self-host the tool. Catalogue add-ons guide agents through OpenSEO's SEO workflows.
Borrowing it
Nothing to install: this file belongs to every-app/open-seo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/every-app/open-seo/main/.agents/skills/link-prospecting/SKILL.mdgit clone --depth 1 https://github.com/every-app/open-seoWrote 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/every-app/open-seo/link-prospecting)<a href="https://agentmods.dev/skills/every-app/open-seo/link-prospecting"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/link-prospecting/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/every-app/open-seo/link-prospecting"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/link-prospecting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00023 | $0.01481 |
| Opus 5.5 | $0.00009 | $0.00592 |
| Sonnet 5.5 | $0.00005 | $0.00296 |
| Haiku 4.5 | $0.00002 | $0.00148 |
Grade A, and why
link-prospecting 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 1mo 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
2 near-identical copies found in the catalogue:
- link-prospecting — 95% identical, 46 lines differ
- conqueror-link-prospecting — 88% identical, 50 lines differ
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSEO Link Prospecting
Goal
Find realistic pages, sites, and authors that might reference the user's page, product, study, guide, or tool. Use OpenSEO for prospect discovery, then use available web/search/browser tools for contact discovery.
Required inputs
projectId- User domain or target URL
- Linkable asset, page, product, study, tool, or topic
- Optional competitors
- Optional market/location/language
Project context
The project-context tools are free and shared with the app and other agents.
- Call
get_project_contextfirst and ground the outreach in it — positioning supplies the claim that makes a link worth giving, and the saved competitors are the backlink profiles to mine. - This skill needs
positioningand competitors. If either is empty, run a minimal inline setup: ask the user why someone would cite them and who they compete with, or infer from the site andfind_serp_competitorsand confirm, write it back withupdate_project_context, then continue the prospecting. Never front-load the full interview; suggestseo-project-setupat the end for the rest. - Before spending credits, check the research log. If the same research ran within the last 30 days, reuse that result and say so instead of re-buying it.
- On finish, write back what is durable — the linkable asset via
addKeyPages, any competitor whose backlink profile proved useful viaaddCompetitors— and append a research log entry:{ appendResearchLog: { summary: "Link prospecting: <asset/target page>. Verdict: <conclusion>" } }.
Deliver as a report
Deliver through the seo-report skill, saving with skill: "link-prospecting". If that skill is not available, say so and stop before writing HTML.
OpenSEO MCP tools
get_serp_results: find ranking articles, listicles, resource pages, comparisons, and topical publishers.get_backlinks_overview: inspect competitor domain or page backlink/referring-domain patterns.get_domain_overview: qualify important prospect domains.get_ranked_keywords: understand what a prospect or competitor ranks for when topical fit matters.search_local_businessesandget_local_serp_results: use for local SEO link prospecting when nearby businesses, local competitors, or Maps/category signals can reveal partnership targets.research_keywords: expand prospecting queries.
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.
- 1mo ago Changed · +1 lines 60feb4f06a36
- 1mo ago First seen · 117 lines · 23 tokens per session scan A b366f7f3d8d9
link-prospecting is a skill published in the GitHub repository every-app/open-seo (25,345 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 1,481 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
altorank
Run AltoRank through its hosted MCP server: readiness audits, Search Console, keyword research, and SEO drafts into a review queue.
setup-svelte-vitals
Set up svelte-vitals in a SvelteKit project: inspect what the project already uses, derive a svelte-vitals.config from its markuplint / eslint-plugin-check-file config and its actual directory conventions, measure each candidate rule before adopting it, and hand the remaining targets to svelte-vitals install. Use when…
wordstat-collector
A tool that collects search statistics from Yandex Wordstat, the Yandex service for researching what people search for. It returns search phrases and their frequencies for Russian-language market research.
improve-svelte
Survey a whole SvelteKit codebase as a senior Svelte/SvelteKit engineer, using svelte-vitals' scan as evidence, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when…
seo-pipeline-llm
4-stage SEO content pipeline: keyword research → competitor scraping → SEO analysis → content creation. Outputs local files, no CMS integration.
seo-pipeline-bash
One-shot SEO content pipeline: scrape keywords from SERP and produce article markdown files via Browser Use SDK or DuckDuckGo fallback.