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smart-money

Track what top crypto futures traders — "smart money", whales, elite accounts — are doing across Binance, Hyperliquid, Bybit and OKX with TraderSpy's live tracking data. The elite leaderboard by smart score, top traders by ROI or PnL over 24h to 30d, open and closed positions filtered by coin, exchange or trader, one trader's profile and closed-trade history, and aggregate market stats. Use this whenever the user asks what whales or top traders are buying, shorting or holding, who the best traders are on an exchange, whether big accounts are long or short a coin, wants to research a trader's record before acting on it, or says "smart money", "whale watch", "what are the pros doing". Not for funding rate / open interest / long-short ratios of the whole market (technical-analysis) and not for AI signals (trading-signals).

77

Quality

97%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

93%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A strong, information-dense body: every section teaches non-obvious, tool-specific facts and each common question has a concrete call-and-present recipe. The only weaknesses are the thrice-repeated 'not advice / cannot copy' caveat and the absence of explicit validation checkpoints in the workflow sequences.

Suggestions

State the 'positions are evidence, not recommendations; this connector cannot copy or trade' caveat once in the Conduct section and trim its near-duplicate phrasing from the intro paragraph and the 'Should I copy trader X' workflow.

Fold the freshness check into each workflow as an explicit step (e.g., 'before answering, check the newest openTime against the feed delay; if stale, say the feed is delayed') rather than leaving it as a separate note in 'Reading the data'.

The symbol-filter guidance is excellent but split between two paragraphs — merging the 'BTC matches both BTC and BTCUSDT exactly' rule with the tokenized-stock exception into one compact rule would save a few tokens.

DimensionReasoningScore

Conciseness

Nearly every paragraph carries connector-specific knowledge Claude cannot know (per-exchange symbol formats, refresh cadences, smart-score weights, Hyperliquid's null winRate), but the 'positions are evidence, not advice / no copying tool / user's decision' caveat is repeated almost verbatim in the intro, the 'Should I copy trader X' workflow, and the Conduct section — minor trimmable repetition. Not 5 because a few tokens are spent restating the same caveat three times; not 3 because there is no explanation of concepts Claude already knows.

4 / 5

Actionability

Fully actionable for an instruction-only skill: exact tool names with argument values and bounds ('status open / closed / all', 'timeRange 24h / 3D / 7D / 30D', 'limit ≤ 50'), per-question call recipes, concrete computations ('win rate from closed rows, typical hold time (closeTime − openTime)'), and a ready-made presentation table. Not 4 because the guidance covers the common cases completely with no gaps.

5 / 5

Workflow Clarity

The four named workflows are clearly sequenced with concrete first calls and conditional follow-ups ('If open rows are few, add status: closed'; wrong-exchange ids 'return nothing' → take source from the originating row), and empty-result handling is specified ('say the feed is delayed rather than "no activity"'). Not 5 because no explicit validate→fix→retry checkpoints structure the workflows; not 3 because sequencing, branching, and failure-mode handling are far more complete than 'checkpoints missing'.

4 / 5

Progressive Disclosure

A well-sectioned overview (Tools, Reading the data, Workflows, Presenting, Conduct) with exactly one clearly signaled one-level-deep reference — 'For exchange-specific quirks and refresh cadences read references/exchange-notes.md' — and the referenced file exists (40 lines, on-topic sections, no nested references). Core operational knowledge is inline where it belongs; exchange-specific detail is correctly pushed out.

5 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exemplary description: it states every capability concretely, gives explicit 'Use when' triggers with natural synonyms users would actually say, and closes with clear negative boundaries against sibling skills. Third-person voice throughout with no vague or padded language.

DimensionReasoningScore

Specificity

The description enumerates all user-facing capabilities concretely — 'The elite leaderboard by smart score, top traders by ROI or PnL over 24h to 30d, open and closed positions filtered by coin, exchange or trader, one trader's profile and closed-trade history, and aggregate market stats' — matching the toolset comprehensively with no substantive coverage gaps.

5 / 5

Completeness

Both questions answered explicitly: two sentences of concrete 'what', followed by 'Use this whenever the user asks…' with concrete trigger phrases, and additional negative boundary guidance ('Not for funding rate / open interest / long-short ratios… and not for AI signals').

5 / 5

Trigger Term Quality

Natural user phrasings with synonym coverage: 'what whales or top traders are buying, shorting or holding', 'who the best traders are on an exchange', 'whether big accounts are long or short a coin', 'research a trader's record', plus literal quotes users would say ('smart money', 'whale watch', 'what are the pros doing').

5 / 5

Distinctiveness Conflict Risk

Clear niche (TraderSpy top-trader tracking on four named exchanges) with distinct triggers, and it explicitly disambiguates from adjacent skills by naming technical-analysis and trading-signals as the handlers for neighboring request types — minimal conflict risk.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

target1m/traderspy-mcp

Path

skills/smart-money/SKILL.md

Reviewed

Table of Contents

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