Agent skill

Whale Hunting

by staskh in staskh/trading_skills

Detect institutional whale activity in options for a given underlying.

MITAuto-check passedBusiness, Finance & HR

Install Whale Hunting

skills CLI
$ npx skills add staskh/trading_skills --skill whale-hunting -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install staskh/trading_skills whale-hunting --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/whale-hunting .claude/skills/whale-hunting && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
whale-hunting
GitHub stars
376
Token cost
~1.1k tokens
SKILL.md length
384 words
Files
2 (incl. scripts)
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

Detect institutional whale activity in options for a given underlying.

  • Works in 2 steps: Crude scan (Yahoo Finance) — finds… → Precise drill-down (Massive API) —…
  • The user asks about unusual options activity
  • SKILL.md covers Instructions, Arguments, Output and Examples, plus 3 more sections
  • Runs Python scripts from its folder; calls uv; needs MASSIVE_API_KEY

What it does

Whale Hunting is an agent skill from staskh/trading_skills. Detect institutional whale activity in options for a given underlying. Use when the user asks about unusual options activity, large block trades, whale trades, or institutional options flow for a specific symbol.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/whale_hunting.py`).

It sits in Business, Finance & HR. The repository describes itself as: Claude powered advisor system for option traders. The licence is MIT.

When your agent uses it

  • The user asks about unusual options activity
  • Large block trades
  • Institutional options flow for a specific symbol

Example prompts

  • “/whale-hunting”

Requirements

  • Python 3
  • A credential in MASSIVE_API_KEY

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Crude scan (Yahoo Finance) — finds contracts with anomalous daily investment vs the rest of the chain.
  2. Precise drill-down (Massive API) — fetches per-second bars for each candidate and flags seconds with outlier dollar invested.

What it can do on your machine

Read from SKILL.md and the folder at commit b71a74f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • MASSIVE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Whale Hunting loads about 1.1k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 384 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from staskh/trading_skills at commit b71a74f, republished under its MIT licence (© staskh). 384 words, ~1,057 tokens.

Download SKILL.mdSave it as .claude/skills/whale-hunting/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
whale-hunting
description
Detect institutional whale activity in options for a given underlying. Use when the user asks about unusual options activity, large block trades, whale trades, or institutional options flow for a specific symbol.
dependencies
trading-skills

Whale Hunting

Scans option chains for a given underlying to identify institutional-sized trades using a two-step approach:

  1. Crude scan (Yahoo Finance) — finds contracts with anomalous daily investment vs the rest of the chain.
  2. Precise drill-down (Massive API) — fetches per-second bars for each candidate and flags seconds with outlier dollar invested.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

bash
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py SYMBOL [--months N] [--date YYYY-MM-DD] [--sigma F] [--sigma-z F] [--summary]

Arguments

  • SYMBOL — Underlying ticker (e.g. AAPL, NVDA, SPY)
  • --months — Max months until option expiration to consider (default: 2)
  • --date — Trading date to analyze in YYYY-MM-DD format (default: latest trading day)
  • --sigma — Std-deviation multiplier for crude outlier threshold (default: 3.0)
  • --sigma-z — Modified Z-Score threshold for per-second small-sample detection (default: 3.5)
  • --summary — Also compute per-ticker summary and include it in the JSON output

Output

Returns JSON with:

  • underlying — The scanned symbol
  • trading_date — Date analyzed
  • source — "massive" (per-second data) or "yahoo only" (daily chain data)
  • total_whales — Total whale events found
  • total_call_invested — Sum of invested dollars in call whale events
  • total_put_invested — Sum of invested dollars in put whale events
  • call_put_ratio — Call invested / put invested (null if no puts)
  • whales — List of whale events:
    • timestamp, ticker, type, strike, expiry
    • close, volume, transactions, invested, break_even
  • summary (present only when --summary is passed) — List of per-ticker aggregates:
    • ticker, type, strike, expiry, whale_count, total_invested, break_even

Examples

bash
# Hunt whales for AAPL (latest trading day)
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py AAPL

# Hunt whales for NVDA on a specific date
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py NVDA --date 2026-03-13

# With per-ticker summary
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py HOOD --months 3 --summary

# Looser detection threshold
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py SPY --sigma 2.0
Show full SKILL.md (162 more words)Show less

Reporting

After running the script, present the results as follows.

Header line:

Whale activity for {underlying} on {trading_date} — source: {source} Call flow: ${total_call_invested:,.0f} | Put flow: ${total_put_invested:,.0f} | C/P ratio: {call_put_ratio:.2f}

When --summary was requested, render the summary array as a table:

Time (ET)TickerTypeStrikeExpiry# EventsTotal InvestedBreak Even
{timestamp}{ticker}{type}{strike}{expiry}{whale_count}${total_invested:,.0f}{break_even}

Sort by total_invested descending. For multi-event rows use the time range of first–last event (e.g. 11:46–12:33).

Interpretation guidance:

  • source: "massive" — High-confidence; per-second block trade data from Massive API
  • source: "yahoo only" — Fallback; daily-level data (Massive API key missing or no intraday data)
  • Low C/P ratio (< 0.5) — Bearish institutional positioning
  • High C/P ratio (> 2.0) — Bullish institutional positioning
  • transactions: 1 — Single block trade; strongest whale signal

Requirements

  • MASSIVE_API_KEY environment variable for per-second data. Without it, falls back to Yahoo Finance daily data.

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.

© staskh, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in .claude/skills/whale-hunting of staskh/trading_skills.

  • SKILL.md
  • scripts/whale_hunting.py

Open the folder on GitHubat commit b71a74f

Compare with similar skills

Whale Hunting next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Whale Hunting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Whale Hunting this skillstaskh/trading_skills376—~1.1kAutomated safety check: PassMIT
Technical Analysttradermonty/claude-trading-skills3k4 repos~4.6kAutomated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Whale Hunting

What does Whale Hunting do?

Detect institutional whale activity in options for a given underlying. Whale Hunting is an agent skill from staskh/trading_skills. Detect institutional whale activity in options for a given underlying.

When should I use Whale Hunting?

Whale Hunting fits situations like: the user asks about unusual options activity; large block trades; institutional options flow for a specific symbol.

How do I install Whale Hunting in Claude Code?

Run `npx skills add staskh/trading_skills --skill whale-hunting -a claude-code`. Or copy the skill folder (.claude/skills/whale-hunting in staskh/trading_skills) into .claude/skills/whale-hunting in your project. Claude Code loads it when a task matches its description.

How do I install Whale Hunting in Codex?

Run `npx skills add staskh/trading_skills --skill whale-hunting -a codex`. Or copy the skill folder (.claude/skills/whale-hunting in staskh/trading_skills) into .agents/skills/whale-hunting in your project. Codex loads it when a task matches its description.

Can I use Whale Hunting in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add staskh/trading_skills --skill whale-hunting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/whale-hunting, .gemini/skills/whale-hunting, .github/skills/whale-hunting and .opencode/skills/whale-hunting in your project.

What does Whale Hunting need to run?

Going by SKILL.md and its folder, Whale Hunting needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named MASSIVE_API_KEY. Our summary lists: Python 3; A credential in MASSIVE_API_KEY.

Does Whale Hunting access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Whale Hunting safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Whale Hunting use?

Whale Hunting is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Whale Hunting use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Whale Hunting?

Skills that share tags, products or a category with Whale Hunting: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Whale Hunting?

staskh (a GitHub user) maintains it in staskh/trading_skills, which has 376 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 28, 2026.

Source: staskh/trading_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.