axonx

authentic

Develop AxonX research plugins and operate quantitative research tasks through CLI or MCP, inspecting execution status, logs, artifacts, and lineage.

When to use

Use when developing or modifying AxonX research plugins and their typed Task contracts.
Use when a user requests AxonX research task submission, execution tracking, failure investigation, or artifact inspection.
Use when integrating an external Agent with an existing AxonX MCP service.

Local Task execution supports Python 3.12+ on macOS/Linux; Windows is not a supported local runtime.
An AxonX service and its configured credentials are required for HTTP/MCP operations. This file alone does not deploy a service.
Research plugins, market data, and model configuration are separate dependencies. Example IDs and addresses are placeholders.
The ETL code above is structural pseudocode and needs a real transform and complete output fields before execution.
Backtest results do not establish future investment performance; compare costs and data assumptions before interpreting them.
Source development requires an AxonX checkout; paths inside examples refer to that checkout or the selected service workspace as stated above.

Repository	Path
sickn33/agentic-awesome-skills	`plugins/agentic-awesome-skills-claude/skills/axonx/SKILL.md`