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Hive nft research

Skill hive-intel/hive-skills/skills/hive-nft-research

Installable Hive Intelligence agent skills for crypto MCP setup, discovery, and research workflows.

Install
npx -y skills add hive-intel/hive-skills --skill hive-nft-research

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Use this skill when the user asks about NFT collections or assets on EVM chains — ownership, metadata, traits, floor prices, sales, rarity, spam/authenticity checks — like "what's the floor on this collection", "who owns this NFT", "is this collection spam". Use it whenever the user needs current NFT evidence rather than a general explanation of NFTs. For Solana-native assets (mints, DAS, compressed NFTs) use hive-solana-analysis.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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hive-nft-research — NFT Research

Research NFT collections and assets — ownership, metadata, floors, sales, rarity, spam — with collection-level and token-level facts kept separate.

Task toolset and identifiers

Toolset: nft_research (confirm against hive://toolsets if routing fails).

  • Required: chain/network plus collection contract, token id, asset id, or wallet address.
  • Optional: marketplace, time window, trait filter, owner.

Ask for chain and contract/asset identifiers when the user gives only a collection name — collection names are not unique and copycat collections are common.

Procedure

  1. Resolve collection contract, token id, wallet, or asset id.
  2. Call search_tools for metadata, owner, floor, sales, rarity, and spam capabilities.
  3. Call get_api_endpoint_schema for each endpoint before calling it.
  4. Start with metadata/identity; add floor/sales or owner/rarity only when relevant.
  5. Preserve raw metadata when the user asks about traits or provenance.

Bounded calls

  • Limit owner and sales lists.
  • Keep collection-level and token-level evidence separate.
  • Do not treat one marketplace floor as the entire market without a caveat.

Worked example

User: "What's the floor and recent sales for this collection? Contract is 0x… on Ethereum."

  1. search_tools → {"query": "nft collection metadata floor price sales ethereum", "limit": 5}
  2. get_api_endpoint_schema for the metadata, floor, and sales endpoints returned, then invoke_api_endpoint with schema-valid arguments and a bounded sales window.
  3. Report floor (with marketplace scope), recent sales, and freshness using the template below.

Report template

## Summary
[Collection/token ownership or market read in one or two sentences.]

## Calls made
- Toolset: nft_research
- Endpoint(s): [exact endpoint names]
- Identifiers: [chain, contract, token/asset ids]

## Evidence
- Identity/metadata: [name, supply, verification]
- Market: [floor + marketplace, sales in window]
- Ownership/rarity/spam: [if requested]
- Provenance: [provider, fetched_at, runtime status per call]

## Caveats
[Marketplace coverage, stale floor, missing metadata, degraded data.]

## Next action
[Trait drilldown, ownership verification, or market comparison — only if needed.]

Gotchas

  • NFT metadata can be mutable or stale.
  • Spam checks can lag new collections — "not flagged" is not "authentic".
  • Floor price is marketplace-scoped unless the provider aggregates.

Runtime status handling

If market data is degraded, still return the metadata/ownership that succeeded and label floor or sales metrics as unavailable.

Hand-offs

  • Solana mints, DAS assets, compressed NFTs → hive-solana-analysis.
  • Wallet-wide NFT exposure → hive-wallet-investigation.
  • Mint/contract safety before buying → hive-security-risk.

Keep looking

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