How do I install the Options Volatility Surface skill?

Run npx skillmds@latest add knuckles-team/options-volatility-surface in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Options Volatility Surface safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Options Volatility Surface?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Options Volatility Surface free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Options Volatility Surface?

Knuckles-Team (@knuckles-team) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Options Volatility Surface by knuckles-team

Name: Options Volatility Surface
Author: Knuckles-Team

File contents

Options Volatility Surface Workflow

CONCEPT:EE-011

Fetches multi-expiry options chain price metrics, fits implied volatility surface curves, and identifies skew arbitrage.

Steps

Step 1: Options Feed Collector

Agent: data-fetcher Tools: graph_query, sx_search

Fetches option chain price logs and strike parameters across multiple expiries. Expected: raw-options-chain-feeds

Step 2: Iv Surface Fitter [depends_on: options-feed-collector]

Agent: compute-engine Tools: graph_analyze

Fits an implied volatility surface and calculates volatility smiles. Expected: implied-volatility-surface

Step 3: Anomaly Detector [depends_on: iv-surface-fitter]

Agent: risk-assessor Tools: graph_query, graph_analyze

Identifies mispriced options contracts and volatility skew anomalies. Expected: volatility-skew-anomalies

Step 4: Arbitrage Executor [depends_on: anomaly-detector]

Agent: report-generator Tools: graph_write, document_tools

Proposes volatility trade executions to profit from the spreads. Expected: options-arbitrage-orders

Step 5: KG Persistence [depends_on: arbitrage-executor]

Agent: report-generator Tools: graph_write

Persist workflow results as nodes and edges in the Knowledge Graph. Create appropriate typed nodes with metadata and link to existing domain entities.

Output

Options Volatility Surface results persisted in KG
Structured report (MD/PDF)
Audit trail with timestamps and agent attributions

Execution

Run this workflow as a dependency-ordered DAG. Steps with no unmet depends_on run in parallel; dependents run after their prerequisites complete.

Run first (in parallel): Step 1 — Options Feed Collector
After level 0: Step 2 — Iv Surface Fitter
After level 1: Step 3 — Anomaly Detector
After level 2: Step 4 — Arbitrage Executor
After level 3: Step 5 — KG Persistence

Execution: If graph-os is reachable, offload the whole DAG via graph_orchestrate action=execute_workflow (or the kg-delegate skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet depends_on in parallel, then their dependents.

---name: options-volatility-surfacedescription: Fetches multi-expiry options chain price metrics, fits implied volatility surface curves, and identifies skew arbitrage.---# Options Volatility Surface Workflow**CONCEPT:EE-011**Fetches multi-expiry options chain price metrics, fits implied volatility surface curves, and identifies skew arbitrage.## Steps### Step 1: Options Feed Collector**Agent**: `data-fetcher`**Tools**: `graph_query, sx_search`Fetches option chain price logs and strike parameters across multiple expiries.Expected: `raw-options-chain-feeds`### Step 2: Iv Surface Fitter [depends_on: options-feed-collector]**Agent**: `compute-engine`**Tools**: `graph_analyze`Fits an implied volatility surface and calculates volatility smiles.Expected: `implied-volatility-surface`### Step 3: Anomaly Detector [depends_on: iv-surface-fitter]**Agent**: `risk-assessor`**Tools**: `graph_query, graph_analyze`Identifies mispriced options contracts and volatility skew anomalies.Expected: `volatility-skew-anomalies`### Step 4: Arbitrage Executor [depends_on: anomaly-detector]**Agent**: `report-generator`**Tools**: `graph_write, document_tools`Proposes volatility trade executions to profit from the spreads.Expected: `options-arbitrage-orders`### Step 5: KG Persistence [depends_on: arbitrage-executor]**Agent**: `report-generator`**Tools**: `graph_write`Persist workflow results as nodes and edges in the Knowledge Graph.Create appropriate typed nodes with metadata and link to existing domain entities.## Output- Options Volatility Surface results persisted in KG- Structured report (MD/PDF)- Audit trail with timestamps and agent attributions## ExecutionRun this workflow as a dependency-ordered DAG. Steps with no unmet `depends_on` run in parallel; dependents run after their prerequisites complete.- **Run first (in parallel):** Step 1 — Options Feed Collector- **After level 0:** Step 2 — Iv Surface Fitter- **After level 1:** Step 3 — Anomaly Detector- **After level 2:** Step 4 — Arbitrage Executor- **After level 3:** Step 5 — KG Persistence**Execution:** If graph-os is reachable, offload the whole DAG via `graph_orchestrate action=execute_workflow` (or the `kg-delegate` skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet `depends_on` in parallel, then their dependents.

Frequently asked questions

Options Volatility Surface