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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. Use this skill when the user asks whether an external link opportunity or placed backlink is safe and useful, and reject toxic, irrelevant, paid-undisclosed, fake, or spam placements.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sergekostenchuk/seo-llm-skill-cluster
설치 방법 보기

포함된 파일(5)

  • SKILL.md2.8 KB
  • agents/openai.yaml357 B
  • evals.json1.5 KB
  • references/validation-rubric.md752 B
  • validation-report.md499 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Backlink Quality Validator

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

Read ./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:

python3 <codex-skills-dir>/senior-skill-architect/scripts/lint_production_skill.py ./skills/backlink-quality-validator
python3 ./plans/seo-llm-skill-cluster/scripts/lint_skill_cluster.py .

Forward tests live in evals.json.

리뷰

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댓글

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sergekostenchuk/seo-llm-skill-cluster402026년 6월 12일 업데이트

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sergekostenchuk/seo-llm-skill-cluster402026년 6월 12일 업데이트

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sergekostenchuk/seo-llm-skill-cluster402026년 6월 12일 업데이트

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sergekostenchuk/seo-llm-skill-cluster402026년 6월 12일 업데이트

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