gammarips-options-flow

gammarips-options-flow is a skill for Claude Code from DevDizzle/gammarips-mcp. It costs 91 tokens per session (1,026 once invoked), scanned A, original, MIT.

A workflow for analysing GammaRips, an options-flow data service that provides research data about potentially tradable US stock-option contracts.

In plain words
What is it for?
Use it to review unusual options activity, compare opportunity and risk measures, study historical outcomes, and form your own contract and exit plan.
Why use it?
It provides a structured way to examine the service's daily pool, historical price-movement measures, and outcome labels without treating the data as a trading recommendation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the gammarips plugin — 4 skills shipped together

Good fit Use it to review unusual options activity, compare opportunity and risk measures, study historical outcomes, and form your own contract and exit plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/devdizzle/gammarips-mcp/gammarips-options-flow
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 DevDizzle/gammarips-mcp --skill gammarips-options-flow
Clone the repo
git clone --depth 1 https://github.com/DevDizzle/gammarips-mcp

Made for: Claude Code.

Or install gammarips, the plugin that ships this one along with the rest of its 4 skills.

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.

agentmods badge for gammarips-options-flow

README.md
[![agentmods](https://agentmods.dev/badge/skills/devdizzle/gammarips-mcp/gammarips-options-flow/github.svg)](https://agentmods.dev/skills/devdizzle/gammarips-mcp/gammarips-options-flow)
Your own site
<a href="https://agentmods.dev/skills/devdizzle/gammarips-mcp/gammarips-options-flow"><img src="https://agentmods.dev/badge/skills/devdizzle/gammarips-mcp/gammarips-options-flow/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.

agentmods 80×15 button for gammarips-options-flow

Your own site · 80×15
<a href="https://agentmods.dev/skills/devdizzle/gammarips-mcp/gammarips-options-flow"><img src="https://agentmods.dev/badge/skills/devdizzle/gammarips-mcp/gammarips-options-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,026 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.01026
Opus 5.5 $0.00036 $0.00410
Sonnet 5.5 $0.00018 $0.00205
Haiku 4.5 $0.00009 $0.00103

Measured 1mo ago against content hash aa8c4a18f925, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gammarips-options-flow 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.

plugins/claude/skills/gammarips-options-flow/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GammaRips options-flow data

GammaRips gives your agent a ready, high-quality options universe every US trading night, plus the history to plan the exit. Each night the engine ranks about 3,500 optionable US stocks, keeps the 100 most liquid, keeps the bullish names, and selects one out-of-the-money call in each on contract liquidity. The pool holds roughly 40 to 50 contracts with deep books: median open interest 4,664 and median session volume 1,039, against 906 and 232 before the liquidity rule. In a 60-day study, no-fill at the 10:00 ET entry fell from 40.5% to 6.1%.

What to do

  • When the user asks for a trade, build a plan with them. Use the gammarips-trade-plan skill if it is available. If not, follow the plan steps in get_playbook(name="start-here"). Give 1 to 3 candidates with entry, target, stop, maximum loss, and size, or a reasoned no-trade.
  • When the user asks for a morning read, use the gammarips-morning-brief skill if it is available.
  • When the user asks where to exit, use the gammarips-exit-lab skill if it is available, or get_playbook(name="exit-lab").

Rules

  • GammaRips has no pick endpoint. Your agent builds the plan with the user. Label it as your analysis of GammaRips data. The user decides.
  • Do not state an expected return or a win rate, and do not claim the pool returns more than other contracts. Quality claims are about execution: liquidity, open interest, volume, and fills.
  • Do not answer a trade request with pool-wide averages. They describe every contract under one fixed rule, not the plan you build.
  • query_outcomes views positions and performance hold the history of a retired engine test. Do not use them to judge the pool.
  • Point-in-time discipline. Features are as of the overnight scan. Outcome labels and surfaces arrive after the trade window closes. Never treat a label or a surface as a live signal for the same day. If you are not sure when a field was knowable, call get_playbook(name="schema") or get_playbook(field="<name>").
  • GammaRips is read-only. It cannot place, change, or cancel an order.
  • End each plan or summary with: paper-traded research data, educational only, not investment advice.

Read the full file on GitHub · 72 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.

  1. 1mo ago Changed · +3 lines · +10 tokens per session aa8c4a18f925
  2. 1mo ago Changed · -21 lines · +6 tokens per session 1217d921e559
  3. 1mo ago Changed · +3 lines 9fe85651e52f
  4. 2mo ago First seen · 87 lines · 75 tokens per session scan A e48a0a175ef0

Subscribe to this mod's changes

gammarips-options-flow is a skill published in the GitHub repository DevDizzle/gammarips-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 1,026 once invoked, about $0.0004 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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