← Back to Skills Marketplace
275
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install quant-expert
Description
Quantitative analysis skill for the Chinese A-share market using Tushare Pro data and a holiday helper. Use when the user asks for stock screening, stock dia...
Usage Guidance
This skill appears coherent for Tushare-based Chinese market analysis and legitimately needs only your TUSHARE_TOKEN and the standard Python packages (tushare, pandas, requests). Before enabling: 1) Ensure you inject the TUSHARE_TOKEN via OpenClaw config rather than hardcoding it; 2) install required Python packages from trusted sources in an isolated environment; 3) review and fix the shipped scripts — the provided file listing shows truncations/typos that will likely crash (fix 'star' → 'start', complete truncated functions/lines); 4) run the scripts in a sandbox first to confirm behavior; 5) be aware the holiday helper calls timor.tech and other scripts will call Tushare (both are networked APIs), so the token and any output could be exposed to those services. If you want higher assurance, request a complete, non‑truncated copy of the code or ask the publisher for checksum-signed releases.
Capability Analysis
Type: OpenClaw Skill
Name: quant-expert
Version: 1.0.0
The 'quant-expert' skill bundle is a legitimate tool designed for quantitative analysis of the Chinese A-share market. It utilizes the Tushare Pro API for financial data and the timor.tech public API for holiday/trading day verification (in holiday_helper.py). The Python scripts (tushare_helper.py, stock_screener.py, stock_diagnosis.py) implement standard data retrieval and analysis logic using pandas without any evidence of obfuscation, unauthorized data exfiltration, or malicious execution. The instructions in SKILL.md and analysis_strategies.md are well-aligned with the stated purpose and do not contain harmful prompt-injection attempts.
Capability Assessment
Purpose & Capability
Name/description (A‑share quant analysis using Tushare and a holiday helper) matches the actual artifacts: Python scripts that call Tushare Pro and a holiday API. The single main credential (TUSHARE_TOKEN) is exactly what this skill needs. Required binaries (python) and Python packages (tushare, pandas, requests) are appropriate for the stated purpose.
Instruction Scope
SKILL.md keeps scope focused on Tushare queries, screening, diagnosis, and optional event research for interpretation. It instructs the agent not to auto-install packages and to use Tushare as primary numeric source. It allows adding web evidence for interpretive tasks (which is reasonable), but does not hardcode external data sinks. Note: several bundled scripts in the provided listing appear truncated or contain obvious typos (e.g., 'star' instead of 'start' in holiday_helper.trading_days_range, unfinished lines like 'wi' in stock_diagnosis). Those are functional/integrity issues that will cause runtime failures unless corrected.
Install Mechanism
No install spec is provided (instruction-only install), so nothing is downloaded or written by the registry installer. This minimizes supply-chain risk. The scripts require standard Python packages but explicitly avoid auto-installation, which aligns with the SKILL.md rules.
Credentials
Only the Tushare credential is declared as primary (TUSHARE_TOKEN). The helper also looks for TUSHARE_PRO_TOKEN as an alternative, which is reasonable. No unrelated secrets or system config paths are requested. The skill accesses network APIs (Tushare via tushare library and timor.tech for holidays), which is expected for data retrieval.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request permanent elevated presence, nor does it indicate it will modify other skills or global agent configuration. Nothing in the package attempts to persist credentials to unexpected locations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quant-expert - After installation, invoke the skill by name or use
/quant-expert - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
quant-expert 1.0.0 – Initial Release
- Provides quantitative analysis for the Chinese A-share market using Tushare Pro data and a holiday helper.
- Supports stock screening, stock diagnosis, market/sector analysis, money-flow checks, ETF/option data, macro data, trading-day and holiday queries.
- Enforces use of Tushare as the primary data source and requires a Tushare token configured via OpenClaw.
- Includes clear execution rules for both raw data queries and interpretive analysis.
- All operations reference bundled Python scripts through the OpenClaw `{baseDir}` path system.
Metadata
Frequently Asked Questions
What is Quant-Expert?
Quantitative analysis skill for the Chinese A-share market using Tushare Pro data and a holiday helper. Use when the user asks for stock screening, stock dia... It is an AI Agent Skill for Claude Code / OpenClaw, with 275 downloads so far.
How do I install Quant-Expert?
Run "/install quant-expert" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Quant-Expert free?
Yes, Quant-Expert is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Quant-Expert support?
Quant-Expert is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).
Who created Quant-Expert?
It is built and maintained by Noah (@noah-wu66); the current version is v1.0.0.
More Skills