# quantskills/quantskills

QuantSkills组织的全景导航 ——Panoramic navigator for the QuantSkills organization

Repository: https://github.com/quantskills/quantskills
Canonical: https://ross.abutalabs.com/products/quantskills
Language: JavaScript
License Family: other
Last push: 2026-08-11T14:20:43+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 97, release rhythm 35, longevity 5
- inputs: {"age_days": 70, "days_push": 22, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2205, forks 70 (observed 2026-08-28T04:06:25.978498+00:00)

## What it is
A panoramic community catalog and navigator for the QuantSkills organization, indexing 158 reusable quantitative finance skills and AI agent assets across 10 categories. It provides bilingual metadata snapshots, a workflow map from data ingestion to trading execution, and links to templates and a registry for contributing new skills and agents.

## Use cases
- find open-source quantitative trading skills and agents
- browse a catalog of factor research and backtesting tools
- discover data connectors and market analysis assets for quant research
- submit my own quant skill or agent to a community registry
- find risk monitoring and portfolio validation tools
- locate templates for building quant agent packages
- map quant workflow stages from data ingestion to trade execution

## When to choose
- you want a curated, categorized directory of quantitative finance skills and AI agents
- you need to discover reusable research, backtesting, or risk-monitoring assets for trading
- you want to contribute or publish your own quant skill or agent with standardized metadata

## When to avoid
- you need a production-ready trading engine rather than a directory of links
- you expect guaranteed quality or returns - the catalog explicitly disclaims endorsements
- you need a single installable library rather than a navigable index of external repos

## Facets
- artifact type: dataset
- maturity: active
- function: search-engine, developer-tools, data-science, trading, agent-framework, documentation
- domain: fintech, artificial-intelligence, data-science, developer-tools, awesome-lists
- platform: self-hosted
- tags: quantitative-finance, catalog, registry, skill-directory, agent-directory, trading-strategies, backtesting, factor-research, risk-monitoring, community-directory, ai-agents, web-server, javascript

## Member repositories
- quantskills/quantskills (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:25.978498+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:46:40.257571+00:00, confidence not recorded.
  - readme: https://github.com/quantskills/quantskills (fetched 2026-08-28T04:06:25.978498+00:00, sha caf5fea981f0)
- Data as of 2026-08-30T08:39:29.467469+00:00.