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Einstein Research Suite

Name: Einstein Research Suite
Author: clawdiri-ai

作者 RunByDaVinci · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

134

总下载

当前安装

版本数

在 OpenClaw 中安装

/install einstein-research

功能描述

A complete quantitative market research toolkit for serious traders and investors. Includes 11 specialized skills covering backtesting, breadth analysis, bub...

使用说明 (SKILL.md)

Einstein Research Suite

Professional quantitative market research for active traders and investors.

Included Skills

Backtest Expert — Methodology for systematic strategy validation
Backtest Engine — Run backtests on historical data with full metrics
Market Breadth Analyzer — 0-100 composite breadth health score
Market Bubble Detector — Quantitative bubble risk assessment
Edge Candidate Generator — Turn observations into research tickets
Follow-Through Day Detector — O'Neil FTD market bottom signals
Options Strategy Advisor — Black-Scholes pricing, Greeks, P&L simulation
Portfolio Risk Analyzer — VaR, stress testing, correlation matrix
Macro Regime Detector — Cross-asset regime transition detection
Headline Scenario Analyzer — 18-month scenario projections from news
Market Theme Detector — Trending themes with lifecycle scoring

Quick Start

Install all skills in this pack:

clawhub install einstein-research-backtest-dv
clawhub install einstein-research-backtest-engine-dv
clawhub install einstein-research-breadth-dv
clawhub install einstein-research-bubble-dv
clawhub install einstein-research-edge-dv
clawhub install einstein-research-ftd-dv
clawhub install einstein-research-options-dv
clawhub install einstein-research-portfolio-risk-dv
clawhub install einstein-research-regime-dv
clawhub install einstein-research-scenario-dv
clawhub install einstein-research-themes-dv

License

MIT

安全使用建议

This pack appears to be a wrapper/pack that points to 11 separate skills rather than containing their code, and it lacks an install spec for the Python libraries the README mentions. Before installing: 1) Verify the origin — there's no homepage and the owner is an opaque ID; check the registry listing and owner reputation. 2) Inspect each included sub-skill's SKILL.md and code (or registry page) to confirm they don't request unrelated credentials or network endpoints. 3) Be prepared to create an isolated environment (VM or container, or Python venv) and review/approve any Python packages (yfinance, pandas, numpy, scipy) before installing. 4) Do not provide brokerage or cloud credentials to the pack itself until you've audited each sub-skill that requests them. If you want higher assurance, install and test the sub-skills first in a sandbox and review any network calls they make.

功能分析

Type: OpenClaw Skill Name: einstein-research Version: 1.0.0 The Einstein Research Suite is a meta-package or 'skill pack' that serves as a manifest for 11 individual quantitative finance skills. The provided files (SKILL.md, README.md, and _meta.json) contain no executable code, obfuscation, or malicious instructions; they only provide documentation and standard installation commands for the sub-components via the OpenClaw ecosystem's package manager.

能力评估

ℹ Purpose & Capability

The SKILL.md and README claim a coherent set of 11 quantitative research tools (backtesting, breadth, options, etc.). However, the repository does not actually contain those sub-skill code files; it only lists them as included and shows clawhub install commands. The README also lists Python dependencies (yfinance, pandas, numpy, scipy) but the pack has no install spec declaring or installing them. This is a provenance / completeness mismatch rather than an immediate functional contradiction.

✓ Instruction Scope

Runtime instructions are limited to describing the pack and showing clawhub install commands for the listed sub-skills. There are no instructions to read arbitrary files, exfiltrate data, or access environment variables. The scope is constrained to installing/using other skills.

ℹ Install Mechanism

There is no install spec in the pack itself (instruction-only). That is low-risk, but the README dependency list (Python packages) is not enforced or declared in an install step, which may lead to surprising post-install requirements. Also, because the pack defers to clawhub to fetch sub-skills, the security of those sub-skills depends entirely on their registry entries.

✓ Credentials

The pack declares no required environment variables, credentials, or config paths. That is proportionate to the high-level description. Still, the included sub-skills (which will be installed separately) may request credentials; you should inspect them before granting any secrets.

✓ Persistence & Privilege

The pack is not marked always:true and does not request elevated/persistent privileges in its metadata. Autonomous invocation is allowed (default) but that is normal; nothing in this pack requests additional persistent system access.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install einstein-research
安装完成后，直接呼叫该 Skill 的名称或使用 /einstein-research 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release: 11 quantitative market research skills for traders and investors

元数据

Slug einstein-research

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题