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analyzing-nft-rarity

Analyze NFT collections by measuring how uncommon each trait is. Calculate rarity scores, rank tokens, compare individual NFTs, inspect trait distributions, and export rankings as JSON or CSV for further review.

OriginalShow the original description

Calculate NFT rarity scores and rank tokens by trait uniqueness. Use when analyzing NFT collections, checking token rarity, or comparing NFTs. Trigger with phrases like "check NFT rarity", "analyze collection", "rank tokens", "compare NFTs".

jeremylongshore/tons-of-skills-marketplace

Run score Not tested

See how to install

Good for

  • Ranking NFTs within a collection
  • Checking the rarity of a specific token
  • Comparing traits across multiple NFTs
  • Exporting rankings as JSON or CSV

Files included (12)

  • SKILL.md3.5 KB
  • ARD.md5.3 KB
  • config/settings.yaml1.9 KB
  • PRD.md2.7 KB
  • references/errors.md3.2 KB
  • references/examples.md6.2 KB
  • references/implementation.md1.5 KB
  • scripts/formatters.py8.5 KB
  • scripts/metadata_fetcher.py11.8 KB
  • scripts/rarity_analyzer.py11.6 KB
  • scripts/rarity_calculator.py11.6 KB
  • scripts/trait_parser.py9.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Analyzing NFT Rarity

Overview

NFT rarity analysis skill that:

  • Fetches collection metadata from OpenSea API
  • Parses and normalizes trait attributes
  • Calculates rarity using multiple algorithms
  • Ranks tokens by composite rarity score
  • Exports data in JSON and CSV formats

Prerequisites

  • Python 3.8+ with requests library
  • Optional: OPENSEA_API_KEY for higher rate limits
  • Optional: ALCHEMY_API_KEY for direct metadata fetching

Instructions

1. Analyze a Collection

cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py collection boredapeyachtclub

Options:

  1. --limit 500: Fetch more tokens for analysis
  2. --top 50: Show top 50 tokens
  3. --traits: Include trait distribution
  4. --rarest: Show rarest traits
  5. --algorithm [statistical|rarity_score|average|information]

2. Check Specific Token

cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py token pudgypenguins 1234  # port 1234 - example/test

3. Compare Multiple Tokens

cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py compare azuki 1234,5678,9012  # 5678: 1234: 9012 = configured value

4. View Trait Distribution

cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py traits doodles

5. Export Rankings

JSON:

cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py export coolcats > rankings.json

CSV:

cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py export coolcats --format csv > rankings.csv

6. Manage Cache

cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py cache --list
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py cache --clear

Rarity Algorithms

AlgorithmDescriptionBest For
rarity_scoreSum of 1/frequency (default)General use, matches rarity.tools
statisticalSame as rarity_scoreBackward compatibility
averageMean of trait raritiesBalanced scoring
informationEntropy-based (-log2)Information theory approach

Output

  • Collection Summary: Name, supply, trait types
  • Rankings: Tokens sorted by rarity score with percentile
  • Token Detail: Full trait breakdown with contribution
  • Comparison: Side-by-side trait comparison

Supported Collections

Works with any ERC-721/ERC-1155 collection that has:

  • OpenSea listing
  • Standard attributes array format
  • Accessible metadata

Error Handling

See references/errors.md for:

  • API rate limiting
  • IPFS gateway issues
  • Collection not found
  • Token ID not found

Examples

See references/examples.md for:

  • Collection analysis workflows
  • Token comparison
  • Export and caching
  • Algorithm comparison

Resources

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