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Analyzing NFT Rarity — measured AI agent skill | DecimalAI

jeremylongshore/analyzing-nft-rarity

NewSkillScoreMaintained

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".

Databy jeremylongshore

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Data Analyst pack

decimalai skills pull jeremylongshore-analyzing-nft-rarity

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/jeremylongshore-analyzing-nft-rarity/SKILL.md

Raw file: /s/jeremylongshore-analyzing-nft-rarity/SKILL.md ↗ · machine-readable summary at /s/jeremylongshore-analyzing-nft-rarity.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 3h ago

—-8% tokens0% turns73% of whole cases pass with skill (16/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	-53%	0%
case-06	✗→✓	▲ Improved	-44%	0%
case-08	✗→✓	▲ Improved	-14%	0%
case-09	✗→✓	▲ Improved	30%	0%
case-10	✗→✓	▲ Improved	-36%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

jeremylongshore / claude-code-plugins-plus-skills

skills/.curated/analyzing-nft-rarity/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1Bundled 8 files · scripts

Skill contents

scripts/

references/

SKILL.md

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

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

Options:

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

2. Check Specific Token

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

3. Compare Multiple Tokens

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

4. View Trait Distribution

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

5. Export Rankings

JSON:

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

CSV:

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

6. Manage Cache

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

Rarity Algorithms

| Algorithm | Description | Best For | |-----------|-------------|----------| | rarity_score | Sum of 1/frequency (default) | General use, matches rarity.tools | | statistical | Same as rarity_score | Backward compatibility | | average | Mean of trait rarities | Balanced scoring | | information | Entropy-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 ${CLAUDE_SKILL_DIR}/references/errors.md for:

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

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for:

Collection analysis workflows
Token comparison
Export and caching
Algorithm comparison

Resources

OpenSea API - Metadata source
Rarity Tools - Reference rankings
IPFS - Decentralized metadata

Want to see if jeremylongshore/analyzing-nft-rarity would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.