Directory Link Evaluation

SkillDev tools

Evaluate directories, listings, profiles, citations, associations, and resource indexes for legitimate link-building value, editorial quality, spam risk, local relevance, and submission fit. Use when deciding whether to submit to a directory, audit directory backlinks, compare listing opportunities, or reject low-quality indexes.

Use Directory Link Evaluation in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Directory Link Evaluation and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Directory Link Evaluation skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Directory Link EvaluationStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/directory-link-evaluation/SKILL.md and read by Ahel’s review.

Use this skill to decide whether a directory, listing, association profile, citation site, or resource index is worth pursuing or keeping.

This skill is derived from Garrett French and Eric Ward's Ultimate Guide to Link Building and uses transformed guidance with durable book-topic references. Do not copy book prose into user outputs.

Quick Start

  1. Use the Contents table below to choose the smallest useful reference set.
  2. Use workflows/evaluate-directory-links.md for a full evaluation pass.
  3. Confirm the directory serves a real audience or market function.
  4. Apply hard rejects before considering authority metrics.
  5. Return submit, update, monitor, or reject recommendations with evidence.

Default Output

When asked to evaluate directories, return:

  1. Directory type - local citation, niche directory, association, marketplace, resource index, or paid listing.
  2. Audience and relevance - who uses it, category fit, geography, and business fit.
  3. Quality evidence - editorial standards, indexing, visible traffic signals, outbound link quality, and maintenance.
  4. Risk flags - thin pages, paid-link footprints, links across the whole site, irrelevant categories, or low-quality neighbors.
  5. Tool choices - browser inspection, search operators, crawlers, backlink tools, index checks, and tracking sheet.
  6. Recommendation - submit, update, monitor, reject, or remove/disavow review if toxic.

Contents

NeedStart Here
Understand directory link conceptsreferences/core/knowledge.md
Apply evaluation rulesreferences/core/rules.md
See scoring examplesreferences/core/examples.md
Evaluate directoriesworkflows/evaluate-directory-links.md

Core Posture

  • A good directory helps users find relevant options.
  • Relevance and editorial standards matter more than raw authority.
  • Paid inclusion requires extra scrutiny and link qualification.
  • Local citations are evaluated differently from national SEO directories.
  • Reject directories whose main purpose is selling ranking-passing links.

Signals

GitHub stars
1k
Forks
316
Last commit
Oct 2026
Advanced
Item type
skill
Key
directory-link-evaluation
Source
github.com/hashgraph-online/awesome-codex-plugins