domain-expired-opportunity-finder

Category: Other · Version: 1.0.0 · Author: ajaycodesitbetter · Compatibility: All targets (claude, codex, opencode, gemini, anti-gravity, openclaw, hermes)

Evaluate expired domain candidates against your niche. Get a conservative, explainable shortlist with risk flags — not another noisy domain list.

Install

npx CLI (Recommended)
skills.sh
Claude Code Native
Claude Desktop
Manus AI

npx "@opendirectory.dev/skills" install domain-expired-opportunity-finder --target claude

npx skills add Varnan-Tech/opendirectory --skill domain-expired-opportunity-finder

/plugin marketplace add Varnan-Tech/opendirectory
/plugin install opendirectory-gtm-skills@opendirectory-marketplace

Copy https://github.com/Varnan-Tech/opendirectory/tree/main/skills/domain-expired-opportunity-finder into download-directory.github.io to download the ZIP.
Open Claude Desktop -> Customize -> Skills -> + -> Upload a skill and drop the folder containing SKILL.md.

What It Does

Accepts a target niche and a set of expired domain candidates
Collects signals from free public sources (Wayback Machine, WHOIS, domain analysis)
Scores each candidate across 6 transparent dimensions: topical relevance, historical activity level, historical content quality, history cleanliness, redirect suitability, and signal completeness.
This skill acts as a Level 1 Triage filter. It automatically pulls historical data, runs a strict 6-dimension scoring model (penalizing topic mismatches and spammy histories), and outputs a highly readable shortlist for your team.
Note: This tool uses public historical data (Wayback/RDAP) to infer domain legitimacy. It is designed to filter out junk before you spend paid Ahrefs/Majestic API credits on the remaining candidates.
Flags risks explicitly (spam content risk, topic mismatch, unclear history, possible deindex)
Outputs a ranked shortlist where every domain has a why_selected AND why_risky explanation
Saves structured JSON output to docs/expired-domain-intel/YYYY-MM-DD.json

What It Does NOT Do

Does not automate domain buying, bidding, or registration
Does not promise rankings or guarantee SEO outcomes
Does not encourage PBN construction or deceptive redirects
Does not replace commercial tools like Ahrefs or DomCop for bulk discovery
Does not produce black-box scores — every recommendation is auditable

Requirements

Requirement	Purpose	How to Set Up
Python 3.10+	Signal collection and scoring	python.org
curl	API calls to Wayback Machine	Pre-installed on most systems
whois CLI	Domain registration checks	`apt install whois` or `brew install whois`
LLM API key (optional)	Enhanced niche-relevance scoring	See .env.example

The skill works without an LLM API key. Rule-based scoring uses domain string analysis and Wayback CDX data. Adding an LLM key enables deeper contextual niche-relevance assessment.

Setup

cp .env.example .env

Fill in LLM_API_KEY if you want LLM-enhanced scoring (optional).

How to Use

Basic usage:

"Find expired domain opportunities in the developer tools niche"
"Evaluate these expired domains for my cybersecurity blog"
"Triage this list of expired domains for AI SaaS redirect potential"

With specific candidates:

"Evaluate these expired domains for the fintech niche: paymentsdaily.com, fintechweekly.io, cheaploans247.net"

With options:

"Find expired domain opportunities in developer tools. Minimum 20 referring domains. Only show low-risk candidates. Focus on rebuild potential."

Run with the built-in demo set:

"Run the expired domain finder with the example set"

Inputs

Input	Type	Required	Description
`target_niche`	string	Yes	Core niche to evaluate against (e.g., “developer tools”)
`seed_keywords`	array	No	Keywords for refined matching (e.g., [“devops”, “CI/CD”])
`candidate_domains`	array	No	Domains to evaluate (prompted if not provided)
`discovery_source`	string	No	Where candidates came from
`min_ref_domains`	integer	No	Minimum referring-domain threshold (default: 10)
`max_risk_level`	string	No	`low`, `medium`, `high` — controls filtering aggressiveness
`intended_use`	string	No	`rebuild`, `redirect`, or `either` (default: `either`)

Output Example

{
  "skill": "domain-expired-opportunity-finder",
  "target_niche": "developer tools",
  "shortlist": [
    {
      "domain": "devtoolsweekly.com",
      "opportunity_score": 86,
      "confidence": "high",
      "recommended_action": "high-priority-review",
      "redirect_suitability": "high",
      "topical_fit_summary": "Domain name contains 'devtools'. Wayback snapshots confirm it was a weekly newsletter covering developer tools and IDE plugins from 2019 to 2024.",
      "activity_level_summary": "High snapshot frequency across 6 consecutive years, indicating sustained active use.",
      "content_quality_summary": "Historical page titles are predominantly branded ('DevTools Weekly') and natural. No keyword stuffing detected.",
      "history_summary": "6 years of consistent Wayback snapshots (2019–2024). All snapshots show real content. No parking pages or sudden drop-offs.",
      "risk_flags": [],
      "why_selected": "Strong topical match with healthy activity level and clean 6-year history.",
      "why_risky": "No significant risk signals. Standard due diligence recommended."
    }
  ]
}

Scoring Overview

The skill uses a transparent weighted model (no black-box ranking):

Dimension	Weight	Signals Analyzed
Topical Relevance	30%	Keyword match, Wayback titles, LLM classification
Historical Activity Level	25%	Snapshot frequency and long-term continuity
Historical Content Quality	15%	Title keyword stuffing, natural phrasing
History Cleanliness	15%	Years active, parking pages, 200 vs 404 ratio
Redirect Suitability	10%	Niche overlap, content format consistency
Signal Completeness	5%	Availability of Wayback and RDAP data

Full scoring details: references/scoring-model.md

Risk Flags

Flag	Severity	Effect
`topic_mismatch`	High	Caps score. Domain is in a completely unrelated niche.
`spam_content_risk`	High	Caps score. Heavy exact-match money keywords in titles.
`possible_deindex`	High	Caps score. Sudden drop-off in Wayback captures.
`redirect_mismatch`	High	Caps redirect suitability. Not safe for 301.
`unclear_history`	Medium	Reduces score. <3 Wayback captures or mostly parking pages.
`short_history`	Medium	Reduces score. Domain active < 1 year before expiry.
`weak_historical_activity`	Medium	Reduces score. Snapshots below threshold.
`suspicious_registrar`	Medium	Known spam-associated registrar

Full flag definitions: references/risk-flags.md

Recommendation Labels

Label	Meaning
`high-priority-review`	Strong match, low risk — review first
`review`	Worth investigating, mixed or incomplete evidence
`rebuild-only-review`	Good for rebuild, not suitable for redirect
`reject`	Does not meet quality or relevance threshold

Guardrails

This skill is a research and triage tool. It:

Frames all results as recommendations, not guarantees
Requires topic continuity for redirect recommendations
Flags manipulative patterns instead of optimizing for them
Includes a disclaimer on every output

Full guardrails policy: references/guardrails.md

Project Structure

domain-expired-opportunity-finder/
├── SKILL.md               # Agent workflow instructions
├── README.md              # This file
├── .env.example           # API key template (optional)
├── evals/
│   └── evals.json         # 5 test scenarios
└── references/
    ├── scoring-model.md   # Transparent scoring dimensions
    ├── output-format.md   # JSON output schema
    ├── risk-flags.md      # Risk flag definitions
    └── guardrails.md      # Anti-abuse policy

License

MIT

Catalog

Visual & Media

Content

Launch

GTM Intelligence

Outreach

Research

Developer Tools

Other

domain-expired-opportunity-finder

Install

What It Does

What It Does NOT Do

Requirements

Setup

How to Use

Inputs

Output Example

Scoring Overview

Risk Flags

Recommendation Labels

Guardrails

Project Structure

License

​Install

​What It Does

​What It Does NOT Do

​Requirements

​Setup

​How to Use

​Inputs

​Output Example

​Scoring Overview

​Risk Flags

​Recommendation Labels

​Guardrails

​Project Structure

​License

Install

What It Does

What It Does NOT Do

Requirements

Setup

How to Use

Inputs

Output Example

Scoring Overview

Risk Flags

Recommendation Labels

Guardrails

Project Structure

License