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Einstein Research Suite
by
RunByDaVinci
· GitHub ↗
· v1.0.0
· MIT-0
104
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0
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0
Active Installs
1
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Install in OpenClaw
/install pack-einstein-research
Description
A complete quantitative market research toolkit for serious traders and investors. Includes 11 specialized skills covering backtesting, breadth analysis, bub...
Usage Guidance
Before installing: (1) Ask the publisher for source repository links or a homepage and for the SKILL.md / code of each included subskill so you can review what clawhub will fetch. (2) Request a concrete install/manage plan: a requirements.txt or pyproject with pinned versions, and any install scripts that clawhub will run. (3) Prefer installing in an isolated environment (VM/container) to limit blast radius. (4) Inspect each included subskill for network calls, credential access, or hidden endpoints before giving access to sensitive data. (5) If you cannot obtain or review the subskills' code and provenance, treat the bundle as higher-risk and avoid installing it into production or on accounts with sensitive credentials.
Capability Analysis
Type: OpenClaw Skill
Name: pack-einstein-research
Version: 1.0.0
The bundle is a meta-package or 'pack' containing only documentation and metadata for a suite of 11 financial research skills. It contains no executable code, scripts, or suspicious instructions; it merely provides a description of the toolkit and standard installation commands for the sub-skills via 'clawhub install' in SKILL.md and README.md.
Capability Assessment
Purpose & Capability
The named capabilities (backtesting, options Greeks, VaR, regime detection, etc.) are plausible for a quantitative research pack. However, the README lists Python 3.8+ and specific libraries (yfinance, pandas, numpy, scipy) while the SKILL.md and registry metadata do not declare those dependencies or provide an install mechanism—an inconsistency between claimed capabilities and the manifest.
Instruction Scope
SKILL.md is an instruction-only pack manifest: it documents included subskills and gives clawhub install commands. It does not ask the agent to read unrelated files or exfiltrate data. However, installing the listed subskills (via clawhub) is required for functionality, and those subskills are not included in this package for review—so the effective runtime instructions and behaviors depend on remote packages you haven't inspected.
Install Mechanism
There is no install spec in this package (lowest local risk). The quick-start relies on clawhub install to fetch eleven subskills; those install-time actions are outside this manifest and could pull arbitrary code/dependencies. The absence of a declared, reproducible install or source/homepage reduces transparency and increases install-time risk.
Credentials
The pack requests no environment variables, credentials, or config paths in the registry metadata (proportionate). But the README states Python and several libraries are required and that some skills use external CSVs. The lack of explicit dependency declarations (requirements file, constraints, or pip/venv instructions) is a missing justification for runtime needs.
Persistence & Privilege
The package does not request always-on inclusion and allows normal model invocation. It does not claim to modify other skills or system-wide settings in the provided manifest.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pack-einstein-research - After installation, invoke the skill by name or use
/pack-einstein-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 11 quantitative research tools for traders and investors. Includes backtest engine, market breadth, bubble detector, FTD signals, options strategy, portfolio risk, macro regime detection, scenario analysis, and theme tracking.
Metadata
Frequently Asked Questions
What is Einstein Research Suite?
A complete quantitative market research toolkit for serious traders and investors. Includes 11 specialized skills covering backtesting, breadth analysis, bub... It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.
How do I install Einstein Research Suite?
Run "/install pack-einstein-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Einstein Research Suite free?
Yes, Einstein Research Suite is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Einstein Research Suite support?
Einstein Research Suite is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Einstein Research Suite?
It is built and maintained by RunByDaVinci (@clawdiri-ai); the current version is v1.0.0.
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