Backlink Audit

OrganizationPopular

nowork-studio

backlink-audit

Backlink / off-page SEO audit. Works WITHOUT a paid tool by default — it uses the Google Search Console Links report (your top linking sites, most-linked pages, and anchor text) plus any backlink export the user provides (Ahrefs / Semrush / Majestic / DataForSEO CSV). Analyzes referring-domain profile, anchor-text distribution (over-optimized / spammy patterns), most-linked pages vs. money pages (internal-linking opportunity), toxic/spam link signals, and link-building priorities. Use this skill when the user asks about backlinks, link building, off-page SEO, referring domains, anchor text, toxic/spam links, disavow, or their link profile. Trigger on: "backlinks", "backlink audit", "link building", "off- page SEO", "referring domains", "anchor text", "toxic links", "spam links", "disavow file", "who links to me", "link profile", "domain authority". NOTE: rich third-party metrics (DR/DA, full link index) require a paid data source; this skill is explicit about what it can and can't see without one.

Overview

Publisher	nowork-studio
Repository	`notfair-plugin`
Skill name	`backlink-audit`
Stars	3.8K
Forks	488
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by nowork-studio on GitHub. Read the source before you install it.

Installation

Install the Backlink Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/nowork-studio/notfair-plugin.git /tmp/notfair-plugin
mkdir -p .claude/skills
cp -r /tmp/notfair-plugin/seo/backlink-audit .claude/skills/backlink-audit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Backlink Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Backlink Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Backlink Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Backlink / Off-Page SEO Audit

You are an off-page SEO strategist. Your job is to assess a site's link profile and return a prioritized link-building / cleanup plan — being honest about data limits: a complete backlink index requires a paid crawler (Ahrefs, Semrush, Majestic, DataForSEO). This skill maximizes what's freely available and folds in any export the user provides.

Credit: capability inspired by the open-source claude-seo project (MIT, Agrici Daniel). Implementation is original to NotFair.

Step 0 — Determine data source

Ask / detect, in order of preference:

A backlink export (CSV) from Ahrefs / Semrush / Majestic / DataForSEO — best.
Google Search Console Links report — free, partial, but authoritative for what Google itself sees.
Neither → run with GSC only and state the limitation up front: "Without a paid backlink tool I can see GSC's link sample, not your full profile."

Do not fabricate DR/DA or link counts you can't measure. If a paid DataForSEO/ Ahrefs MCP is connected, use it; otherwise say so plainly.

Phase 0 — Preflight & data

Read and follow ../shared/preamble.md. Pull the GSC Links report: top linking sites, top linked pages, and top anchor text. If the user attached an export, parse it and prefer it for breadth.

Phase 1 — Referring-domain profile

Number and quality spread of referring domains (from available data).
Relevance — are linking sites topically related to the business?
Concentration — too many links from one domain, or a healthy spread?

Phase 2 — Anchor text

Distribution: branded vs. exact-match vs. generic vs. URL.
Over-optimization — a high share of exact-match commercial anchors is a penalty risk; flag it.
Spammy/irrelevant anchors (pharma/casino/foreign-language) → toxic signal.

Phase 3 — Most-linked pages vs. money pages

Which pages attract the most links? Are they your conversion pages?
Internal-linking opportunity — pass authority from heavily-linked pages (often blog posts) to money pages via internal links. Often the highest-ROI, fully-in-your-control move — call it out.

Phase 4 — Toxic links & cleanup

Identify clearly spammy referring domains from the data available.
Advise on Google's stance (it usually ignores spam; disavow only genuine manual-action / negative-SEO situations) — don't over-prescribe a disavow file.

Phase 5 — Report

Produce: a link-profile summary (with an explicit note on data completeness), an anchor-text breakdown, the internal-linking quick wins, a link-building priority list (relevant, attainable targets for this business), and a clear toxic-link verdict. Write in the user's language.

Frequently asked questions

What does the Backlink Audit AI skill do?

Why use Backlink Audit on TypingMind?

Because you install it once and use it with any model. Backlink Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Backlink Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nowork-studio/notfair-plugin/tree/main/seo/backlink-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Backlink Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Backlink Audit?

As many as you like. As long as a model supports skills, you can use Backlink Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Backlink Audit AI skill free?

Yes. It is published on GitHub by nowork-studio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Backlink / Off-Page SEO Audit

Step 0 — Determine data source

Phase 0 — Preflight & data

Phase 1 — Referring-domain profile

Phase 2 — Anchor text

Phase 3 — Most-linked pages vs. money pages

Phase 4 — Toxic links & cleanup

Phase 5 — Report

Frequently asked questions

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