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monitoring-whale-activity

Track large cryptocurrency transactions and whale wallet movements in real-time. Use when tracking large holder movements, exchange flows, or wallet activity. Trigger with phrases like "track whales", "monitor large transfers", "check whale activity", "exchange inflows", or "watch wallet".

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

86%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 well-structured, command-driven skill body: fully executable examples that match the bundled script, clean progressive disclosure to real reference files, and a clear three-step workflow. Its only weaknesses are minor redundancy around the --min-value flag and the absence of an explicit validation/verification checkpoint in the workflow.

Suggestions

Remove the duplicate min-value explanations — state once that --min-value takes a USD integer (e.g., 10000000 = $10M) instead of re-annotating it in two separate code blocks.

Add a pre-flight validation step such as running `python whale_monitor.py status` to confirm API-key configuration and connectivity before relying on live data.

Mention the `unwatch` subcommand (it exists in the script) alongside `watch` so watchlist management coverage in Step 2 is complete.

DimensionReasoningScore

Conciseness

The body is mostly lean — a concise overview, terse prerequisites, and command-first sections with no padding explaining concepts Claude already knows. The only trimmable spots are the duplicated explanation of the min-value flag ("# 10000000: $10M+ only" and "# 10000000 = 10M limit" explain the same integer twice).

4 / 5

Actionability

Every command is copy-paste ready and verified against the actual script's argparse interface (recent/flows/watchlist/track/watch/labels with --chain, --min-value, --name, --format json), and the four worked examples cover the common use cases (view, flow analysis, watchlist tracking, JSON export).

5 / 5

Workflow Clarity

The Navigate → Choose command → Interpret results sequence is clear and unambiguous, and interpretation semantics (DEPOSIT/WITHDRAWAL/TRANSFER, net-flow signals) are given. However, there is no explicit pre-flight checkpoint (e.g., running `whale_monitor.py status` to verify API access) and error-recovery detail is delegated entirely to references/errors.md, leaving minor validation gaps.

4 / 5

Progressive Disclosure

The body is a genuine overview: quick-start commands inline, with details correctly split into one-level-deep, well-signaled references (errors.md, examples.md, implementation.md — all verified present) each introduced with a bullet summary of its contents, plus a navigation bar and a Resources section for external APIs.

5 / 5

Total

18

/

20

Passed

Description

82%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.

A strong description that clearly and explicitly states both what the skill does and when to use it, with natural trigger phrases and a distinctive niche. Its main gaps are an under-enumerated capability list (only tracking actions, not flows/watchlists/labels) and a few missing common synonyms such as "whale watching".

Suggestions

Expand the opening sentence to enumerate the skill's concrete capabilities, e.g., "Track large cryptocurrency transactions, analyze exchange inflows/outflows, manage wallet watchlists, and identify labeled wallets (exchanges, funds, bridges) in real-time."

Add the natural trigger synonyms "whale watching" and "large crypto transactions" to the trigger-phrase list to round out keyword coverage.

DimensionReasoningScore

Specificity

The 'what' sentence names the domain and two concrete actions — "Track large cryptocurrency transactions and whale wallet movements in real-time" — but does not enumerate the skill's other capabilities shown in the body (exchange inflow/outflow analysis, watchlists, wallet labeling), so coverage is not comprehensive. It sits at the '1-2 concrete actions' anchor rather than 'several specific actions'.

3 / 5

Completeness

It explicitly answers both questions: 'what' via "Track large cryptocurrency transactions and whale wallet movements in real-time" and 'when' via "Use when tracking large holder movements, exchange flows, or wallet activity" reinforced by concrete trigger phrases — matching the anchor-5 example structure almost exactly.

5 / 5

Trigger Term Quality

Five natural trigger phrases ("track whales", "monitor large transfers", "check whale activity", "exchange inflows", "watch wallet") plus "large holder movements, exchange flows, or wallet activity" give good keyword coverage with synonyms. A few natural variants are still missing — notably the very common "whale watching", plus "large crypto transactions" or "on-chain" — keeping it just below the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

Crypto whale monitoring is a clear niche with distinct triggers ("track whales", "exchange inflows", "monitor large transfers"); the terms are unlikely to fire for an unrelated skill. The generic "wallet activity" trigger carries only negligible overlap risk in context.

5 / 5

Total

17

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository

jeremylongshore/tons-of-skills-marketplace

Path

plugins/crypto/whale-alert-monitor/skills/monitoring-whale-activity/SKILL.md

Reviewed

Table of Contents

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