sergekostenchuk/ui-ux-agent-skill-system

backlink-quality-validator

Validate proposed or existing backlinks for relevance, editorial legitimacy, link attributes, spam/toxicity risk, platform compliance, anchor quality, target-page fit, and monitoring evidence.

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/sergekostenchuk/ui-ux-agent-skill-system --skill backlink-quality-validator

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

Backlink Quality Validator

Use this skill after an opportunity is proposed by a scout or after a backlink already exists.

Read $HOME/SKILL/plans/seo-llm-skill-cluster/authority/white-hat-authority-policy.md before validating a placement.

Read references/validation-rubric.md before producing a verdict.

Owns

  • backlink quality review;
  • relevance and target-page fit;
  • link attribute review (follow, nofollow, ugc, sponsored);
  • anchor text risk;
  • spam/toxicity risk;
  • platform compliance notes;
  • approval or rejection recommendation.

Does Not Own

  • finding opportunities;
  • posting or editing links;
  • paid placement negotiation;
  • external outreach;
  • Search Console/rank attribution;
  • disavow decisions without broader SEO review.

Workflow

  1. Identify source URL, target URL, anchor text, link location, and context.
  2. Check relevance and user value.
  3. Check link attribute and disclosure expectations.
  4. Check platform-rule status.
  5. Identify spam, toxicity, PBN, directory, fake review, and paid-undisclosed risk.
  6. Score the backlink as approve, revise, reject, or needs_more_evidence.
  7. Provide exact reason and safe next step.

Non-Negotiables

  • Reject link farms, PBNs, fake reviews, hidden links, irrelevant directories, and paid-undisclosed links.
  • Reject anchor text that is misleading or stuffed.
  • Do not claim a backlink improves rankings without measurement.
  • Do not edit external pages.
  • Do not recommend disavow unless the broader context and risk are reviewed.

Safety And Privacy Boundaries

  • Do not store private outreach, account credentials, paid-placement negotiations, or private analytics in reports.
  • If source pages include private or sensitive content, summarize without exposing it.
  • Mark unknown platform rules as unknown rather than assuming permission.

Output Shape

Return:

  1. Validation verdict.
  2. Source/target/anchor/context.
  3. Scores and rationale.
  4. Link attribute and disclosure notes.
  5. Platform-rule status.
  6. Risks and required fixes.
  7. Monitoring or recheck date.

Validation

Validate skill edits with:

bash
python3 $CODEX_HOME/skills/senior-skill-architect/scripts/lint_production_skill.py $HOME/SKILL/skills/backlink-quality-validator
python3 $HOME/SKILL/plans/seo-llm-skill-cluster/scripts/lint_skill_cluster.py $HOME/SKILL

Forward tests live in evals.json.

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