ailabx/agilab

This page was translated automatically. Technical details may differ from the original. View the original

969 stars Quality 59 Trend 71GPL-3.0

Agilab (Agi Laboratories), focused on the landing of frontier AI technology: Quantification finance and self-intelligence in media。

Overview

- Financial-research Skill is responsible only for data collection, indicator calculation, structured output and not for LLM. - Router agent.py calls Skill to get the package, and LLM produces the analysis in Chinese. - : All scripts run independently, output stdout JSON. - Stock: Equities, e.g. 600519 - etc: ETF, e.g., 510300 - futures, e.g., RB - transferable: e.g., 113052 - fund: off-site funds, e.g., 000001

Overview (machine translated)

Agilab, AGI Laboratory.

Structure

Design principles

Skill does data only:[[T0] Skill is only responsible for data collection, indicator calculation, structured output, not LLM.
Agent is responsible for reasoning:[[T1] Call Skill to access the package and LLM to produce the analysis in Chinese.
** Standardized CLI**: All scripts run independently, output stdout JSON.

Start

Access [T2]

Supported class

[[T3]: stocks, such as [[T4]
[[T5]: ETF, e.g. [[T6]
[[T7]: Futures, such as [(T8]]
[(T9]: reversible, e.g. [(T10]]
[[T11]: off-site funds such as [[T12]

Test Skyll

This page was translated automatically. Technical details may differ from the original.

Recommended Tools

Try a different keyword or remove a filter.

Install

npx skillfish add ailabx/agilab

New to MCP? Start with the mcpskill.org guide →