A crypto-market monitor that finds coins with unusually strong large-holder trading compared with their normal activity, over 1-hour, 4-hour, and 24-hour periods. It also records what happened to the price after each signal.

Use it to screen coins for unusual whale activity, investigate possible smart-money rotation, and review how reliable past whale signals were.

It helps separate unusual large-holder activity from ordinary high trading volume and shows whether earlier signals were followed by price moves.

whale-radar — Skill for Claude Code by CoinLobster

Install

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.

Any agent

npx skills add CoinLobster/agent-skills --skill whale-radar

Clone the repo

git clone --depth 1 https://github.com/CoinLobster/agent-skills

Made for: Claude Code.

Or install coinlobster, the plugin that ships this one along with the rest of its 6 skills, 1 MCP server.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/coinlobster/agent-skills/whale-radar/github.svg)](https://agentmods.dev/skills/coinlobster/agent-skills/whale-radar)

Your own site

<a href="https://agentmods.dev/skills/coinlobster/agent-skills/whale-radar"><img src="https://agentmods.dev/badge/skills/coinlobster/agent-skills/whale-radar/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/coinlobster/agent-skills/whale-radar"><img src="https://agentmods.dev/badge/skills/coinlobster/agent-skills/whale-radar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,810 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00085	$0.01810
Opus 5	$0.00043	$0.00905
Sonnet 5	$0.00017	$0.00362
Haiku 4.5	$0.00009	$0.00181

Measured 11d ago against content hash 3ab5889e3126, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

whale-radar scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://coinlobster.com/api/public/whale-radar?window=4h"

skills/whale-radar/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Whale Radar

Coins whose whale flow is unusual versus their own baseline (not just "big volume"), across 1h / 4h / 24h windows, with every fired flag scored against the price move that followed.

Data sources (in order)

MCP connected? coinlobster:whale_radar (no args) for the windows; coinlobster:flag_outcomes (args: type, coin, hours, limit) for fired flags with outcomes. To screen by condition (funding/OI band, whale multiple, unusual-only) use coinlobster:market_screener (args: funding_band, oi_band, whale_mult_min, unusual_only, limit, compact), which returns matched, the criteria echoed back, and rows[]. It is the one-call discovery path: prefer it over sweeping all three radar windows by hand. If tools/list does not show it, screen with whale_radar plus the workflow below instead of reporting a failure.
No MCP:
```
curl -s "https://coinlobster.com/api/public/whale-radar?window=4h"
curl -s "https://coinlobster.com/api/public/receipts/whale-spike/BTC"
```
Receipts reply ok: true with n/up/line once at least 3 flags have scored cleanly. ok: false with line: null means the sample is under 3, or one of the scored rows flagged incomplete coverage: thin or unverified, not necessarily zero. Report it as "no scored record to quote yet", never as "this signal has never fired".
Quick read: fetch https://coinlobster.com/radar.md (unusual coins per window + a 48h flag/outcome table, plain markdown).

The screening workflow

Pull the radar. Coins flagged unusual: true are the candidates; note direction and window (1h = happening now, 24h = persistent). Keyless, every coin outside the free pair (BTC) comes back blurred: true with magnitudes withheld, and a locked coin that is NOT unusual is omitted entirely (lockedCount / lockedUnusualCount say how many). The coin + direction + count still screen fine; say magnitudes need a developer plan key (from $29/mo) on the MCP.
For each candidate, check persistence: unusual in BOTH a short and long window beats a single-window blip.
Check the record before trusting it: pull flag_outcomes / receipts for that signal type and coin. Report the actual history with DIRECTION from the up-count plus SIZE from the median: "last 11 whale-spike flags on BTC: 2 up after 24h, median move plus or minus 0.9%". The up-count says which way PRICE went, not whether the flag was right: a flag is not a directional call, so never restate these as a hit rate or an accuracy score. Report every scored flag in the window, not the ones that read well.
Optionally confirm with the live feed (whale-flow skill): is the radar's direction backed by visible large trades? If the CEX feed is empty for the coin, check /api/public/onchain-whales before concluding the flag has no visible trades (many flagged coins trade DEX-side).
Output a ranked shortlist with the evidence per coin, windows measured, and the outcome record.

Read the full file on GitHub · 75 lines

Changes

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.

11d ago First seen · 75 lines · 85 tokens per session scan A 3ab5889e3126

Subscribe to this mod's changes

whale-radar is a skill published in the GitHub repository CoinLobster/agent-skills (9 stars, last pushed 29d ago), licensed MIT. It adds 85 tokens to every session and 1,810 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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