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-dca-trackernpx skills add nansen-ai/nansen-cli --skill nansen-dca-trackergit 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-dca-tracker)<a href="https://agentmods.dev/skills/nansen-ai/nansen-cli/nansen-dca-tracker"><img src="https://agentmods.dev/badge/skills/nansen-ai/nansen-cli/nansen-dca-tracker.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 | $0.00028 | $0.00301 |
| Opus 5 | $0.00014 | $0.00151 |
| Sonnet 5 | $0.00006 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
nansen-dca-tracker 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 5d 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
DCA Watch
Answers: "What tokens are whales dollar-cost averaging into on Solana?"
nansen research smart-money dcas --limit 20
# → trader_address, trader_address_label, input/output_token_symbol, deposit_value_usd, dca_status, dca_created_at
# For each top DCA target, check token fundamentals
TARGET=<output_token_address>
nansen research token info --token $TARGET --chain solana
# → name, symbol, price, market_cap, token_details
nansen research token flow-intelligence --token $TARGET --chain solana
# → net_flow_usd per label: smart_trader, whale, exchange, fresh_wallets
To see DCA strategies targeting a specific token: nansen research token jup-dca --token $TARGET
DCAs show long-term conviction — SM DCA targets with positive smart_trader_net_flow = high-confidence accumulation.
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.
- 5d ago First seen · 39 lines · 28 tokens per session scan A 4ca4afb958b7
nansen-dca-tracker is a skill published in the GitHub repository nansen-ai/nansen-cli (133 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 301 once invoked, about $0.0001 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.
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