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agent-driven-options-desk-and-skills

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Options analytics an AI agent can drive and a person can read. Sixteen Greeks, seventeen structures, dealer positioning, GARCH-t simulation, backtests, local dashboard. Skills, commands, agents and MCP for Claude Code, Codex and ChatGPT. Research software, not investment advice. Noncommercial licence.

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Last scanned: 9/11/2026
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/Iman/agent-driven-options-desk-and-skills && cp agent-driven-options-desk-and-skills/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.
Casos de uso

Resumen de Subagents

# Option Desk

Options research with a local dashboard, agent skills, and MCP tools.
Import a chain, inspect its Greeks and positioning, compare structures, and keep the results as readable files.

[![Checks](https://github.com/Iman/agent-driven-options-desk-and-skills/actions/workflows/refresh.yml/badge.svg)](https://github.com/Iman/agent-driven-options-desk-and-skills/actions/workflows/refresh.yml) [![Tests](https://img.shields.io/badge/tests-1085%20collected-blue)](docs/TESTING.md) [![Unit coverage gate](https://img.shields.io/badge/unit%20coverage%20gate-80%25%20per%20package-blue)](docs/TESTING.md#run-the-80-unit-coverage-gate) [![Mutation cases](https://img.shields.io/badge/mutation%20cases-99-blue)](scripts/mutate.py) [![Python](https://img.shields.io/badge/python-3.11%2B-blue)](INSTALL.md)

[![License](https://img.shields.io/badge/license-PolyForm%20Noncommercial-blue)](LICENSE) [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/Iman/agent-driven-options-desk-and-skills) [![Local skills](https://img.shields.io/badge/local%20skills-6-blue)](docs/wiki/Skill-Installation.md#choose-the-correct-skill-edition) [![Hosted skills](https://img.shields.io/badge/hosted%20skills-4-blue)](docs/wiki/Skill-Installation.md#prepare-individual-browser-skill-zips) [![Local MCP tools](https://img.shields.io/badge/local%20MCP%20tools-12-blue)](docs/CAPABILITIES.md)

[![Agent guides](https://img.shields.io/badge/guides-Codex%20%7C%20ChatGPT%20%7C%20Claude%20chat%20%7C%20Claude%20Code-blue)](docs/wiki/Skill-Installation.md) [![Last commit](https://img.shields.io/github/last-commit/Iman/agent-driven-options-desk-and-skills)](https://github.com/Iman/agent-driven-options-desk-and-skills/commits/main)

## Contents

**On this page**

- [See the desk](#see-the-desk)
- [Get started](#get-started)
- [Ask your agent](#ask-your-agent)
- [Follow a research workflow](#follow-a-research-workflow)
- [Read the documentation](#read-the-documentation)
- [Development](#development)
- [Licensing](#licensing)

**Guides and wiki**

- [Wiki](https://github.com/Iman/agent-driven-options-desk-and-skills/wiki)
- [Architecture and diagrams](docs/wiki/Architecture.md)
- [Install skills](docs/wiki/Skill-Installation.md)
- [User guide](docs/wiki/Home.md)
- [Examples](docs/wiki/Examples.md)
- [Install](INSTALL.md)
- [Troubleshooting](docs/wiki/Troubleshooting.md)

## See the desk

The dashboard brings the chain, model assumptions, and research results onto one page.
These are captures of the current local dashboard with synthetic teaching inputs.
They are not market observations or evidence of trading performance.
[Capture details](docs/SCREENSHOT-PROVENANCE.md) distinguish the input scenario from the capture date.

![Structure comparison in the local dashboard, using synthetic inputs](docs/screenshots/dashboard-comparison.png)

### Dashboard tour

Open an image for its full resolution. The [complete gallery](docs/SCREENSHOTS.md) includes individual panels and charts.
The [dashboard guide](docs/wiki/Dashboard.md) explains how to read them.

| Positioning | Volatility |
|---|---|
| ![Synthetic dealer gamma, walls, open interest, and max pain](docs/screenshots/dashboard-positioning.png) | ![Synthetic volatility surface, smile, and Greek curves](docs/screenshots/dashboard-volatility.png) |
| Inspect the assumed dealer exposure and chain coverage. | Compare strikes and expiries without hiding missing values. |

| Structure payoff | Two-expiry structures |
|---|---|
| ![Synthetic option structure payoff and legs](docs/screenshots/dashboard-structures.png) | ![Synthetic calendar and diagonal comparison](docs/screenshots/dashboard-time-spreads.png) |
| Read the legs, breakevens, and limits together. | Inspect the valuation assumptions for the surviving leg. |

| Simulation | Backtest |
|---|---|
| ![Simulation panels from synthetic price history](docs/screenshots/dashboard-simulation.png) | ![Backtest panels from synthetic price history and modeled premiums](docs/screenshots/dashboard-backtest.png) |
| Read the fan with the convergence diagnostics. | Read outcomes with the benchmark and model limitations. |

| Composite comparison | Contract ladder |
|---|---|
| ![Composite scores and their components for synthetic structures](docs/screenshots/dashboard-composite.png) | ![Synthetic contract Greeks and overlaid strategy payoffs](docs/screenshots/dashboard-ladder.png) |
| Inspect the formula and disagreements between models. | Compare sensitivities and payoff shapes. |

![The dashboard pipeline from input through saved research artifacts](docs/screenshots/dashboard-pipeline.png)

## Get started

Choose one route:

| Your starting point | First action | Continue with |
|---|---|---|
| I want to try it without a data account | Run the supplied sample below. | [First walkthrough](docs/wiki/Getting-Started.md) |
| I use Claude Code or Codex | Install the local tools, then connect the plugin. | [Agent workflows](docs/wiki/Agent-Workflows.md) |
| I have a CSV or JSON chain | Import it with its source and timestamp. | [Data import](docs/wiki/Importing-Data.md) |
| I want a browser-based example | Open the [hosted sample](https://optiondesk.avidquant.com). | [Hosted connection](docs/wiki/Agent-Workflows.md#browser-agents-and-the-hosted-service) |

### Try the supplied sample

Requirements: Git and Python 3.11 or later.
Run these commands on macOS or Linux:

```sh
git clone https://github.com/Iman/agent-driven-options-desk-and-skills.git
cd agent-driven-options-desk-and-skills
python3 -m venv .venv
. .venv/bin/activate
python -m pip install -e ./engine -e ./shell
optiondesk chain SYNTH --from-file examples/chain-synth.json --accept-data-rights --out-dir artifacts/tutorial
optiondesk greeks --out-dir artifacts/tutorial
optiondesk exposure --out-dir artifacts/tutorial
optiondesk compare --out-dir artifacts/tutorial
optiondesk dashboard --out-dir artifacts/tutorial
```

Open **http://127.0.0.1:8787** on the same computer.
Select **SYNTH** and **2026-10-08**.
Press `Ctrl+C` in the terminal to stop the server. The result files remain in `artifacts/tutorial`.

The supplied sample contains 62 synthetic contracts and a fixed valuation scenario.
It needs no external provider after installation.
The [walkthrough](docs/wiki/Getting-Started.md) includes Windows activation, expected results, and the next steps.
[Sample provenance](examples/README.md) explains the inputs.

### Install the full local desk

From a checkout, run:

```sh
./install.sh
optiondesk doctor
```

This installs the local tools and skills and attempts MCP registration with supported runtime CLIs it finds.
[Installation](INSTALL.md) covers paths, flags, Docker, and removal.
A plugin installation alone does not install the local calculation engine.

For an existing local provider setup, run the complete demonstration:

```sh
./run.sh --symbols SPY
```

The runner retrieves data, builds the research artifacts, opens a paper position, and serves the dashboard.
It writes to `~/TradingDesk/option-desk-demo` by default.
Use `--dry-run` to inspect its commands.
Read [provider setup](docs/wiki/Installation.md#local-provider-demo) before enabling Yahoo access.

## Ask your agent

### Install skills in your product

| Product | Installation choices |
|---|---|
| [Codex](docs/wiki/Skill-Installation.md#codex) | `npx`, manual copy, shell installer, or plugin. |
| [Claude Code](docs/wiki/Skill-Installation.md#claude-code) | `npx`, manual copy, shell installer, or plugin. |
| [ChatGPT](docs/wiki/Skill-Installation.md#chatgpt) | Individual hosted-skill uploads where the account supports Skills, plus a separate MCP app. |
| [Claude chat](docs/wiki/Skill-Installation.md#claude-chat) | Individual hosted-skill ZIPs plus a custom MCP connector. |

The [installation guide](docs/wiki/Skill-Installation.md) includes single-skill and all-skill commands, user/project scope, ZIP preparation, and connection checks.

After connecting the local tools, ask:

```text
Use examples/chain-synth.json, the supplied synthetic teaching sample.
I can use this file for private analysis.
Save the results under artifacts/tutorial.
Show its Greeks and positioning, then compare an iron condor with a straddle.
State the source, missing inputs, model assumptions, and degradation first.
```

| What you want | Skill | Example |
|---|---|---|
| Working tools | `desk-setup` | Check why my MCP tools are unavailable. |
| Contract sensitivities | `options-greeks` | Show delta, gamma, theta, and vega from this chain. |
| Chain positioning | `options-positioning` | Show the gamma walls and state the dealer-sign assumption. |
| Multi-leg structures | `options-strategy` | Compare these structures by payoff, loss, and Greeks. |
| Forward distribution | `options-simulation` | Simulate the underlying from permitted history and report convergence. |
| Historical research | `options-backtest` | Backtest this structure and explain the benchmark and missing costs. |

The local MCP server exposes 12 tools.
The hosted service supports a smaller workflow: snapshot validation, Greeks, positioning, and strategy plots.
Simulation and backtests remain local workflows.
See [agent setup and prompts](docs/wiki/Agent-Workflows.md).

## Follow a research workflow

| Step | Action | What to inspect |
|---|---|---|
| 1. Load | [Import a chain](docs/wiki/Importing-Data.md) | Source, timestamp, expiry, and missing inputs. |
| 2. Inspect | Calculate Greeks and positioning. | Units, skip counts, and dealer-sign assumptions. |
| 3. Compare | [Build structures](docs/wiki/Examples.md#compare-two-structures) | Legs, breakevens, maximum loss, and spread costs. |
| 4. Explore time | [Compare two expiries](docs/wiki/Examples.md#compare-two-expiries) | Near-expiry valuation and scan limits. |
| 5. Research history | [Simulate or backtest](docs/wiki/Examples.md#simulate-a-real-underlying-locally) | Convergence, benchmarks, uncertainty, and omitted costs. |
| 6. Record | [Open a paper p
backtesting-agentclaude-code-pluginclaude-code-skillclaude-code-subagentscodex-plugincodex-skillfinancegarchlanggraphmcpmonte-carlomonte-carlo-markov-chainoptionsoptions-flowoptions-greeksoptions-pricingoptions-strategiespythonquantitative-financevolatility

Lo que la gente pregunta sobre agent-driven-options-desk-and-skills

¿Qué es Iman/agent-driven-options-desk-and-skills?

+

Iman/agent-driven-options-desk-and-skills es subagents para el ecosistema de Claude AI. Options analytics an AI agent can drive and a person can read. Sixteen Greeks, seventeen structures, dealer positioning, GARCH-t simulation, backtests, local dashboard. Skills, commands, agents and MCP for Claude Code, Codex and ChatGPT. Research software, not investment advice. Noncommercial licence. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-09-11.

¿Cómo se instala agent-driven-options-desk-and-skills?

+

Puedes instalar agent-driven-options-desk-and-skills clonando el repositorio (https://github.com/Iman/agent-driven-options-desk-and-skills) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar Iman/agent-driven-options-desk-and-skills?

+

Nuestro agente de seguridad ha analizado Iman/agent-driven-options-desk-and-skills y le ha asignado un Trust Score de 80/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

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Iman/agent-driven-options-desk-and-skills es mantenido por Iman. La última actividad registrada en GitHub es del 2026-09-11, con 0 issues abiertos.

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