seo-backlinks

seo-backlinks is an agent for Claude Code from Gekkos-tech/agency-os. It costs 45 tokens per session (1,592 once invoked), scanned A, a copy of seo-backlinks, MIT.

A backlink research agent that examines which websites link to a target site. Backlinks are links from other websites, and they can help assess a site's search presence.

In plain words
What is it for?
Use it to inspect referring domains, link counts, domain and page metrics, Common Crawl web-graph data, and verified backlinks from available services.
Why use it?
It combines available data sources and checks known links, while reporting when there is not enough information for a reliable score.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/validate_backlink_report.py --report report_data.json --json.

Part of the seo-marketing plugin — 11 agents shipped together

Good fit Use it to inspect referring domains, link counts, domain and page metrics, Common Crawl web-graph data, and verified backlinks from available services.

Compare 6 agents 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/Gekkos-tech/agency-os
agentmods
npx agentmods add agents/gekkos-tech/agency-os/seo-backlinks

Made for: Claude Code.

Or install seo-marketing, the plugin that ships this one along with the rest of its 11 agents.

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 seo-backlinks

README.md
[![agentmods](https://agentmods.dev/badge/agents/gekkos-tech/agency-os/seo-backlinks/github.svg)](https://agentmods.dev/agents/gekkos-tech/agency-os/seo-backlinks)
Your own site
<a href="https://agentmods.dev/agents/gekkos-tech/agency-os/seo-backlinks"><img src="https://agentmods.dev/badge/agents/gekkos-tech/agency-os/seo-backlinks/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 seo-backlinks

Your own site · 80×15
<a href="https://agentmods.dev/agents/gekkos-tech/agency-os/seo-backlinks"><img src="https://agentmods.dev/badge/agents/gekkos-tech/agency-os/seo-backlinks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,592 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% 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 $0.00045 $0.01592
Opus 5 $0.00023 $0.00796
Sonnet 5 $0.00009 $0.00318
Haiku 4.5 $0.00005 $0.00159

Measured 10d ago against content hash 2d838c223a5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

seo-backlinks scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Use `python3 scripts/render_page.py <URL> --mode auto --json` for page HTML. `auto` does a raw fetch and only spins up Playwright when an SPA shell is detected; use `--mode always` to force a render or `--mode never` to
Origin

This is a copy

88% identical to seo-backlinks — 44 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.

plugins/seo-marketing/agents/seo-backlinks.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a backlink profile analyst. When delegated tasks during an SEO audit:

  1. Check credentials: python3 scripts/backlinks_auth.py --check --json
  2. Determine tier (0 = CC+verify, 1 = +Moz, 2 = +Bing, 3 = +DataForSEO)
  3. Run all available sources for the target domain
  4. Merge results with confidence weighting
  5. Format output to match claude-seo conventions

Tier-Based Workflow

Tier 0 (Always Available — No Config Needed)

  • Common Crawl domain metrics: python3 scripts/commoncrawl_graph.py <domain> --json
    • In-degree, PageRank, harmonic centrality, top referring domains
  • If known backlinks provided, verify them: python3 scripts/verify_backlinks.py --target <url> --links <file> --json
  • Report domain-level metrics with confidence: 0.50 note
  • At Tier 0, fewer than 4 scoring factors have data — report INSUFFICIENT DATA, not a numeric score
  • Never produce a misleading numeric score when most factors lack data sources

Tier 1 (+ Moz API)

  • All Tier 0 checks
  • Moz URL metrics: python3 scripts/moz_api.py metrics <url> --json
    • DA, PA, Spam Score, link counts, referring domains
  • Moz referring domains: python3 scripts/moz_api.py domains <url> --json
  • Moz anchor text: python3 scripts/moz_api.py anchors <url> --json
  • Moz top pages: python3 scripts/moz_api.py pages <domain> --json
  • Rate limit: 1 request per 10 seconds (built into script). Plan calls carefully.
  • Report metrics with confidence: 0.85 note

Tier 2 (+ Bing Webmaster)

  • All Tier 1 checks
  • Bing inbound links: python3 scripts/bing_webmaster.py links <url> --json
  • For competitor gap: python3 scripts/bing_webmaster.py compare <url1> <url2> --json
  • Report with confidence: 0.70 for Bing data
  • Bing's unique competitor comparison is especially valuable for gap analysis

Tier 3 (+ DataForSEO — Premium)

  • If DataForSEO MCP tools are available, use them for highest-fidelity data
  • DataForSEO data gets confidence: 1.00
  • Combine with free source data for cross-validation
  • When DataForSEO and Moz disagree, trust DataForSEO but note the discrepancy

Read the full file on GitHub · 122 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. 10d ago First seen · 122 lines · 45 tokens per session scan A 2d838c223a5b

Subscribe to this mod's changes

seo-backlinks is an agent published in the GitHub repository Gekkos-tech/agency-os (5 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 1,592 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to seo-backlinks, differing in 44 lines, and is treated as a copy.

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