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 skills add nansen-ai/nansen-cli --skill nansen-perp-screenergit 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-perp-screener)<a href="https://agentmods.dev/skills/nansen-ai/nansen-cli/nansen-perp-screener"><img src="https://agentmods.dev/badge/skills/nansen-ai/nansen-cli/nansen-perp-screener/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nansen-ai/nansen-cli/nansen-perp-screener"><img src="https://agentmods.dev/badge/skills/nansen-ai/nansen-cli/nansen-perp-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00035 | $0.00779 |
| Opus 5 | $0.00017 | $0.00390 |
| Sonnet 5 | $0.00007 | $0.00156 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
nansen-perp-screener 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Perp Market Scan
Answers: "What's the state of the Hyperliquid perp market right now?"
nansen research perp screener --sort volume:desc --limit 20
# → token_symbol, volume, buy/sell_volume, buy_sell_pressure, open_interest, funding, mark_price
nansen research perp leaderboard --days 7 --limit 20
# → trader_address, trader_address_label, total_pnl, roi, account_value
nansen research smart-money perp-trades --limit 20
# → token_symbol, side, action (Open/Close), value_usd, price_usd, trader_address_label
New Filters (ECINT-6680)
--trader-type
Filter by trader type. Accepted values: all (default), sm, whale, public_figure, high_winrate_hl_perps_trader.
# Show only whale traders
nansen research perp screener --trader-type whale --limit 10
# Show only smart money traders
nansen research perp screener --trader-type sm --limit 20
# Show high win-rate HL perps traders
nansen research perp screener --trader-type high_winrate_hl_perps_trader --limit 20
--sm-label-filter
Comma-separated Nansen SM labels to filter by. Only applies when --trader-type is all or sm.
# Filter to a specific SM label
nansen research perp screener --trader-type sm --sm-label-filter "30D Smart Trader"
# Multiple labels
nansen research perp screener --sm-label-filter "30D Smart Trader,Smart LP"
--trader-label-filter
Comma-separated HL perps trader labels to filter by. Only applies when --trader-type is all or sm.
# Filter to HL Perps Whale label
nansen research perp screener --trader-label-filter "HL Perps Whale"
--sectors-filter
Comma-separated category:subcategory pairs to filter coins by sector.
# Filter to AI and DeFi crypto sectors
nansen research perp screener --sectors-filter "Crypto:AI,Crypto:DeFi" --trader-type whale
# Combine with trader type and limit
nansen research perp screener --sectors-filter "Crypto:AI,Crypto:DeFi" --trader-type whale --limit 10 --sort volume:desc
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.
- 10d ago First seen · 92 lines · 35 tokens per session scan A 3a52e05377e7
nansen-perp-screener is a skill published in the GitHub repository nansen-ai/nansen-cli (135 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 779 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
mpp-agent
Pay HTTP 402 APIs via Machine Payments Protocol (MPP).
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…
hyperliquid
Hyperliquid L1 perps DEX (69% market share).
bridge
Cross-chain token transfers using Wormhole and CCTP.
token-pick
One token recommendation and one prediction market pick - scored, quantified, with a skip branch when signals are weak.