量化策略研发实验室
PassAudited by VirusTotal on May 5, 2026.
Overview
Type: OpenClaw Skill Name: quant-research-lab Version: 1.0.1 The quant-research-lab skill bundle is a highly sophisticated multi-agent framework designed for quantitative strategy research and development. It orchestrates 15 specialized agent roles modeled after top-tier financial institutions (e.g., Goldman Sachs, Citadel, Renaissance Technologies) to perform tasks such as strategy architecture, backtesting, risk management, and compliance. The orchestration logic in SKILL.md and the detailed prompt templates in the roles/ directory are strictly aligned with the stated purpose. The bundle uses a local state file (state/research-context.md) for workflow persistence and includes robust 'Quality Gate' checks. No indicators of malicious behavior, such as data exfiltration, unauthorized network calls, or prompt injection attacks against the host agent, were detected.
Findings (0)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Past strategy outputs and financial context can influence later runs, and sensitive user-entered details may remain in the project directory.
The skill creates and reuses a persistent local research-context file containing user-provided market, capital, and focus information.
检查 `state/research-context.md` 是否存在... 新建... 将答案填入 state 文件的 `## 项目上下文` 区
Review or reset the state file between projects, and do not enter exchange credentials, account numbers, or other secrets into the workflow.
User-provided financial context and project architecture notes may be included in subagent prompts during pipeline execution.
The skill passes collected context and role prompts into subagents as part of its multi-agent workflow.
Dispatch subagent：使用 Agent tool，`subagent_type: "general-purpose"`... 注入替换后的完整 prompt
Use the pipeline only for information you are comfortable sharing with the agent runtime, and avoid including private credentials or confidential account details.
If installing from the external repository rather than the reviewed package, the installed content could differ from the provided artifacts.
The README documents installation from an external GitHub repository via npx; this is user-directed and not an automatic install step in the skill package.
npx skills add https://github.com/yili1992/quant-research-lab --skill quant-research-lab
Install from a trusted source, review the repository contents, and pin a known commit or version when possible.
Users could overvalue generated trading strategies because of the institutional-style framing, even though the artifact says it is educational only.
The skill uses strong institutional branding for financial strategy generation while also clearly disclaiming that it is not trading advice.
institutional-grade quantitative strategy research workflow... modeled after the expertise of a top quant firm... Disclaimer: This framework is designed for research and educational purposes only.
Treat outputs as research drafts, validate independently with real data and professional review, and do not trade solely based on generated results.