nansen-general-search
Search for tokens or entities by name. Use when you have a token name and need the full address, or want to find an entity.
Best use case
nansen-general-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search for tokens or entities by name. Use when you have a token name and need the full address, or want to find an entity.
Teams using nansen-general-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/nansen-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nansen-general-search Compares
| Feature / Agent | nansen-general-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search for tokens or entities by name. Use when you have a token name and need the full address, or want to find an entity.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Search ```bash nansen research search "jupiter" --type token nansen research search "Vitalik" --type entity --limit 5 nansen research search "bonk" --chain solana --fields address,name,symbol,chain ``` | Flag | Purpose | |------|---------| | `--type` | `token` or `entity` | | `--chain` | Filter by chain | | `--limit` | Number of results (default 25, max 50) | | `--fields` | Select specific output fields | Case-insensitive. Does NOT match by address — use `profiler labels` for address lookup.
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