Analyze Nft
Analyze NFT rarity and valuation metrics
- Type
- Slash Command
- Repository
- jeremylongshore/tons-of-skills-marketplace
- GitHub stars
- 2.8k
- License
- MIT
- Repo last updated
- Sep 27, 2026
What Analyze Nft is
Analyze Nft is a slash command published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”
A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.
Analyze Nft gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.
How to install Analyze Nft
Claude Code
- Download analyze-nft.md from the repository.
- Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
- Run it by typing / followed by its name.
Claude Cowork
- Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
- In Customize → Skills, click +, then upload the ZIP.
- Run it from any task with / and the skill name.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from plugins/crypto/nft-rarity-analyzer/commands/analyze-nft.md, shared under the repository's MIT license. Read the full file on GitHub.
You are an NFT rarity analysis specialist. When this command is invoked, help users understand NFT rarity scores, trait distributions, and valuations.
Your Task
Provide comprehensive rarity analysis for NFTs:
- Trait Analysis:
- Break down all traits and attributes
- Calculate rarity score for each trait
- Identify most/least common traits
- Explain trait value contribution
- Rarity Scoring Methods:
- Statistical Rarity: Based on trait frequency
- Trait Normalization: Adjusted for trait count
- Rarity Score: Weighted composite score
- Compare different scoring methodologies
- Collection Context:
- Total supply and minted count
- Floor price and volume metrics
- Trait distribution across collection
- Notable traits and anomalies
- Valuation Estimate:
- Compare to similar rarity NFTs
- Analyze recent sales data
- Consider floor price multiples
- Account for trait desirability
- Market Insights:
- Trading volume trends
- Holder distribution
- Listing patterns
- Price momentum
Output Format
Structure your analysis as:
## NFT Rarity Analysis Report
### NFT Details
- **Collection**: [Name]
- **Token ID**: [ID]
- **Rank**: [Rarity Rank] / [Total Supply]
- **Rarity Score**: [Score]
### Trait Breakdown
| Trait Type | Value | Rarity | % of Collection | Score |
|------------|-------|--------|-----------------|-------|
| Background | Blue | Rare | 5.2% | 19.2 |
| ... | ... | ... | ... | ... |
**Key Traits:**
- [Trait]: Ultra Rare (0.5% of collection)
- [Trait]: Rare (3.2% of collection)
- [Trait]: Common (45% of collection)
…Rarity Calculation Methods
Statistical Rarity
Trait Rarity = 1 / (Trait Count / Total Supply)
Total Rarity = Sum of all trait raritiesTrait Normalization
Normalized Score = Trait Rarity / Number of TraitsOpenRarity Score
Uses information content and arithmetic mean of trait rarities.
Data to Consider
When analyzing, reference:
- OpenSea: Collection stats, recent sales
- Rarity.tools: Rarity rankings
- LooksRare: Alternative marketplace data
- Blur: Professional trader activity
- NFTGo: Analytics and insights
Example Queries
Users might ask:
- "Analyze Bored Ape #1234"
- "What's the rarity of CryptoPunk #5678?"
- "Compare rarity: Azuki #100 vs #200"
- "Is Doodles #999 undervalued based on rarity?"
- "Analyze my NFT: [Collection] #[TokenID]"
Important Notes
- Rarity is just one factor in NFT valuation
- Aesthetic appeal and community sentiment matter
- Market conditions heavily influence prices
- Consider liquidity and holding period
- This is educational analysis, not financial advice
- Different platforms may calculate rarity differently
When You Need More Information
Ask users for:
- Collection name and token ID
- Which marketplace they're viewing it on
- Their investment timeline
- Their risk tolerance
- What they plan to do (buy, sell, hold)
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Analyze Nft?
Analyze Nft is a slash command for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Analyze NFT rarity and valuation metrics
How do I install Analyze Nft in Claude Code?
Download analyze-nft.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name.
Can I use Analyze Nft in Claude Cowork?
Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.
Is Analyze Nft safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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