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 target1m/traderspy-mcp --skill smart-moneygit clone --depth 1 https://github.com/target1m/traderspy-mcpWrote 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/target1m/traderspy-mcp/smart-money)<a href="https://agentmods.dev/skills/target1m/traderspy-mcp/smart-money"><img src="https://agentmods.dev/badge/skills/target1m/traderspy-mcp/smart-money/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/target1m/traderspy-mcp/smart-money"><img src="https://agentmods.dev/badge/skills/target1m/traderspy-mcp/smart-money.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00190 | $0.01980 |
| Opus 5.5 | $0.00076 | $0.00792 |
| Sonnet 5.5 | $0.00038 | $0.00396 |
| Haiku 4.5 | $0.00019 | $0.00198 |
Grade A, and why
smart-money 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 1mo 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TraderSpy follows thousands of top-ranked accounts on four exchanges and records their positions as they open, change and close. This skill turns that feed into answers about positioning and about individual traders. Positions are observations of what other people did with their own money — present them as evidence, never as instructions.
Tools
| Tool | Use it for | Key arguments |
|---|---|---|
get_elite_leaderboard |
The cross-exchange top 10 by smart score, with the scoring rationale | none |
get_top_traders |
Ranked traders per exchange and window | source all / binance / hyperliquid / bybit / okx, timeRange 24h / 3D / 7D / 30D, rankingType ROI / PNL, sortBy ROI / PNL / SCORE, limit ≤ 200 |
get_positions |
The position feed | status open / closed / all, source, symbol, limit ≤ 50, offset |
get_trader_profile |
One trader: metrics + latest positions | traderId AND source (see below), timeRange, rankingType |
get_trader_position_history |
One trader's closed trades, paged | traderId, source, page, limit ≤ 50 |
get_market_stats |
Aggregate counts and PnL across all tracked positions | source, period 4h / 8h / 24h / 7d |
get_exchanges |
Which exchanges are currently tracked | none |
Always pass source with a trader id. get_trader_profile and get_trader_position_history
default to Binance; a Hyperliquid address (0x…) or an OKX id looked up on the wrong exchange
returns nothing. Take source from the row you got the id from.
Reading the data
Symbols differ per exchange. Hyperliquid rows use bare coins (BTC, ZEC) and prefix
tokenized stocks with xyz: (xyz:AVGO); Binance, Bybit and OKX rows use BTCUSDT. When the
user asks about "BTC positions", pass symbol: "BTC" — the filter matches both BTC and
BTCUSDT exactly — and read the symbol field before summing anything. Tokenized stocks
(xyz:AVGO) are not reachable through the filter; fetch without symbol and pick them out.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · +1 lines · -4 tokens per session aabb8d383633
- 1mo ago Changed · +80 lines · +144 tokens per session 9f6fc5491d26
- 1mo ago First seen · 29 lines · 50 tokens per session scan A 924679b73121
smart-money is a skill published in the GitHub repository target1m/traderspy-mcp (3 stars, last pushed 14d ago), licensed MIT. It adds 190 tokens to every session and 1,980 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-08-31.
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