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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git clone https://github.com/Iman/agent-driven-options-desk-and-skills && cp agent-driven-options-desk-and-skills/*.md ~/.claude/agents/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. [](https://github.com/Iman/agent-driven-options-desk-and-skills/actions/workflows/refresh.yml) [](docs/TESTING.md) [](docs/TESTING.md#run-the-80-unit-coverage-gate) [](scripts/mutate.py) [](INSTALL.md) [](LICENSE) [](https://deepwiki.com/Iman/agent-driven-options-desk-and-skills) [](docs/wiki/Skill-Installation.md#choose-the-correct-skill-edition) [](docs/wiki/Skill-Installation.md#prepare-individual-browser-skill-zips) [](docs/CAPABILITIES.md) [](docs/wiki/Skill-Installation.md) [](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.  ### 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 | |---|---| |  |  | | Inspect the assumed dealer exposure and chain coverage. | Compare strikes and expiries without hiding missing values. | | Structure payoff | Two-expiry structures | |---|---| |  |  | | Read the legs, breakevens, and limits together. | Inspect the valuation assumptions for the surviving leg. | | Simulation | Backtest | |---|---| |  |  | | Read the fan with the convergence diagnostics. | Read outcomes with the benchmark and model limitations. | | Composite comparison | Contract ladder | |---|---| |  |  | | Inspect the formula and disagreements between models. | Compare sensitivities and payoff shapes. |  ## 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
Lo que la gente pregunta sobre agent-driven-options-desk-and-skills
¿Qué es Iman/agent-driven-options-desk-and-skills?
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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?
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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.
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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.
¿Quién mantiene Iman/agent-driven-options-desk-and-skills?
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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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