seo-backlinks

seo-backlinks is a skill for Claude Code from seoskillsai/seo-skills-ai. It costs 29 tokens per session (266 once invoked), scanned A, original, MIT.

A backlink audit tool for checking which websites link to your website. Backlinks are incoming links that can affect how search engines assess a site.

In plain words
What is it for?
Use it to inspect referring domains, link counts, authority estimates, spam scores, anchor text, competitor link gaps, and whether links are live, marked nofollow or ugc, and indexed.
Why use it?
It combines free or free-tier data sources and direct link checks, reducing the need for expensive subscription-based SEO tools.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/commoncrawl_graph.py --domain "example.com".

Part of the seo-skills plugin — 27 skills, 2 hooks, 1 MCP server shipped together

Good fit Use it to inspect referring domains, link counts, authority estimates, spam scores, anchor text, competitor link gaps, and whether links are live, marked nofollow or ugc, and indexed.

Compare 6 skills 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/seoskillsai/seo-skills-ai
agentmods
npx agentmods add skills/seoskillsai/seo-skills-ai/seo-backlinks

Made for: Claude Code.

Or install seo-skills, the plugin that ships this one along with the rest of its 27 skills, 2 hooks, 1 MCP server.

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/skills/seoskillsai/seo-skills-ai/seo-backlinks/github.svg)](https://agentmods.dev/skills/seoskillsai/seo-skills-ai/seo-backlinks)
Your own site
<a href="https://agentmods.dev/skills/seoskillsai/seo-skills-ai/seo-backlinks"><img src="https://agentmods.dev/badge/skills/seoskillsai/seo-skills-ai/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/skills/seoskillsai/seo-skills-ai/seo-backlinks"><img src="https://agentmods.dev/badge/skills/seoskillsai/seo-skills-ai/seo-backlinks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 266 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00029 $0.00266
Opus 5 $0.00015 $0.00133
Sonnet 5 $0.00006 $0.00053
Haiku 4.5 $0.00003 $0.00027

Measured 12d ago against content hash 5d5addc8cc20, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-backlinks 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 12d 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.

skills/seo-backlinks/SKILL.md · 34 lines

What it actually says

Analyzes external link equity, referring domains, toxic link patterns, and competitor link gaps using open and free API datasets.


🔗 Supported Free & Open Data Sources

  1. Common Crawl Web Graph:
    • Free global web graph dataset providing PageRank estimates, in-degree link counts, and referring domains.
  2. Moz Link Explorer API (Free Tier):
    • Domain Authority (DA), Page Authority (PA), spam score, and top anchor text distributions.
  3. Bing Webmaster Tools API:
    • Inbound link metrics and competitive domain comparison.
  4. Live Link Verification Crawler:
    • Directly crawls referring URLs to verify rel="nofollow", rel="ugc", anchor text, and indexation status.

🛠️ CLI Execution

python scripts/commoncrawl_graph.py --domain "example.com"
python scripts/verify_backlinks.py --domain "example.com"
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. 12d ago First seen · 34 lines · 29 tokens per session scan A 5d5addc8cc20

Subscribe to this mod's changes

seo-backlinks is a skill published in the GitHub repository seoskillsai/seo-skills-ai (15 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 266 once invoked, about $0.0001 per session on Opus 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.

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