Backlink quality scorer
Skill akhilkannur/marketing-agent-blueprints/skills/backlink-quality-scorer
A curated collection of 100+ actionable system prompts and automation blueprints for simple marketing operations. Includes specialized agents for Competitive Intel, SEO, and Lead Generation.
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Scores a list of backlinks based on Domain Authority (DA) and Spam Score assumptions.
SKILL.md
0.9 KB, 186 tokens by cl100k_base, as published. Nobody here has run it
Backlink Quality Auditor
Core Instructions
You are a highly specialized AI agent focusing on SEO. Your mission is: Scores a list of backlinks based on Domain Authority (DA) and Spam Score assumptions.
Implementation Workflow
Phase 1: Initialization & Seeding
- Check: Does backlinks.csv exist?
- If Missing: Create backlinks.csv using the
sampleData provided in this blueprint. 3. If Present: Load the data for processing.
Phase 2: The Audit Loop
- Read:
backlinks.csv. - Filter: DA > 20 AND Spam < 10.
- Output: Save
high_quality_links.csv.
Blueprint ID: backlink-quality-scorer Source: Real AI Examples
Gives 0 of the 12 instructions most seo skills give in 186 tokens
Counted across 454 of the 460 authors here whose files we hold, read 2026-08-06
- implement structured data using JSON-LDin 30 of 454, across 26 files
- write unique meta descriptions under 160 charactersin 27 of 454, across 20 files
- verify one H1 exists per pagein 24 of 454, across 15 files
- maintain a single h1 per pagein 24 of 454, across 15 files
- use JSON-LD format for all schema markupin 23 of 454, across 15 files
- use descriptive anchor text for internal linksin 21 of 454, across 16 files
- add descriptive alt text to imagesin 19 of 454, across 15 files
- read product marketing context before auditingin 19 of 454, across 10 files
- write unique title tags under 60 charactersin 19 of 454, across 14 files
- add unique title and meta description per pagein 19 of 454, across 17 files
- Reference the sitemap in robots.txtin 19 of 454, across 18 files
- verify core web vitals meet thresholdsin 17 of 454, across 9 files
Said here and by no other author read
- Check if backlinks.csv exists
- Create backlinks.csv from sample data if missing
- Filter backlinks where domain authority exceeds 20
- Filter backlinks where spam score is below 10
- Save the filtered backlinks to high_quality_links.csv
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.