Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nansen-ai/nansen-cli/nansen-holder-analysisnpx skills add nansen-ai/nansen-cli --skill nansen-holder-analysisgit clone --depth 1 https://github.com/nansen-ai/nansen-cliWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nansen-ai/nansen-cli/nansen-holder-analysis)<a href="https://agentmods.dev/skills/nansen-ai/nansen-cli/nansen-holder-analysis"><img src="https://agentmods.dev/badge/skills/nansen-ai/nansen-cli/nansen-holder-analysis.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.00319 |
| Opus 5 | $0.00015 | $0.00160 |
| Sonnet 5 | $0.00006 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
nansen-holder-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Holder Quality
Answers: "Is this token held by quality wallets or retail noise?"
TOKEN=<address> CHAIN=ethereum
nansen research token holders --token $TOKEN --chain $CHAIN --smart-money --limit 20
# → address, address_label, value_usd, ownership_percentage, balance_change_24h/7d/30d
nansen research token flow-intelligence --token $TOKEN --chain $CHAIN
# → net_flow_usd and wallet_count per label: smart_trader, whale, exchange, fresh_wallets
nansen research token who-bought-sold --token $TOKEN --chain $CHAIN --limit 20
# → address, address_label, bought/sold_volume_usd, bought/sold_token_volume, trade_volume_usd
Red flag: high fresh_wallets flow + low SM holders. Green flag: Fund/Smart Trader labels in top 20.
Note: holders endpoint does not support native/wrapped tokens. Use a specific token contract address.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 39 lines · 30 tokens per session scan A d2d950f7caed
nansen-holder-analysis is a skill published in the GitHub repository nansen-ai/nansen-cli (134 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 319 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
signature-replay
Signature replay attacks — missing nonces, missing chain ID, ecrecover zero address, signature malleability, cross-chain replay.
official-sui-skills
Pointer to the official Mysten Labs skills for building on Sui — language fundamentals, object model, PTBs, SDKs, publishing, upgrades, frontend integration, accessing on-chain data. Maintained upstream at github.com/MystenLabs/skills; pinned to the same ref the audit catalog derives from (see…
nip85-trusted-assertions
The NIP-85 trusted-assertions model in Quartz (nip85TrustedAssertions/) — kind 10040 trust-provider lists, kind 30382 contact cards / user assertions, 30383 event assertions, 30384 addressable assertions, 30385 external-id assertions. Use when building or parsing these events, working with the typed tags (RankTag…
crypto-market-rank
Crypto market rankings and leaderboards. Query trending tokens, top searched tokens, Binance Alpha tokens, tokenized stocks, social hype sentiment ranks, smart money inflow token rankings, top meme token rankings from Pulse launchpad, and top trader PnL leaderboards. Use this skill when users ask about token rankings…
trading-signal
Subscribe and retrieve on-chain Smart Money signals. Monitor trading activities of smart money addresses, including buy/sell signals, trigger price, current price, max gain, and exit rate. Use this skill when users are looking for investment opportunities — smart money signals can serve as valuable references for…
bridge
Cross-chain token transfers using Wormhole and CCTP.