Modular Market Brief
PassAudited by VirusTotal on May 12, 2026.
Overview
Type: OpenClaw Skill Name: modular-market-brief Version: 0.1.0 The skill bundle is designed to generate market reports, utilizing Python scripts to fetch financial data from legitimate public sources like Yahoo Finance and TMX Money, and via the yfinance library. The `SKILL.md` provides instructions for setting up a Python virtual environment and running these scripts, which is a standard and safe practice. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts against the agent. All network calls are to known financial data providers and are directly aligned with the skill's stated purpose.
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.
Using the optional scripts may install external Python packages, so their source and versions affect the local environment.
The skill recommends installing third-party Python packages to enable structured market data fetching. This is disclosed, user-directed, and placed in a virtual environment, but the packages are unpinned.
python3 -m venv ~/.venvs/market-brief ... ~/.venvs/market-brief/bin/pip install yfinance pandas numpy
Install only if you need the helper scripts, keep the virtual environment isolated, and consider pinning or reviewing package versions.
External finance services may receive the requested ticker list, and report quality depends on those providers' availability and data accuracy.
The script sends user-selected ticker symbols to yfinance/Yahoo-style market data tooling. This is directly aligned with generating a price tape, but users should understand that ticker queries go to an external data provider.
ap.add_argument("--tickers", required=True, help="Space-separated tickers") ... df = yf.download(ticker, period=period, interval="1d", progress=False)Use only ticker lists you are comfortable querying through public finance data providers and verify important market data independently.
