Stock Deep Dive

Automation skill for Stock Deep Dive.

This bundle largely implements a stock-analysis tool, but there are clear inconsistencies and fragile assumptions. Before installing or running it: 1) Do not provide any credentials (Twitter tokens, AWS, Stripe, etc.) unless you verify why they're needed and where they'll be stored. 2) Inspect missing/expected files (score.py, build.py, save_deploy.py) and absolute paths—the scripts call other skills using hardcoded /data/workspace paths that may not exist or may cause the agent to access unexpected locations. 3) Run in a sandbox (container or VM) and avoid running install_deps.py or other scripts with network access until you review them. 4) Ask the publisher to clarify required dependencies and provide a minimal reproducible flow (or a proper install spec) and to remove instructions that direct you to extract browser cookies or put sensitive tokens in plaintext .env files. If you need this skill for real use, request a fixed, self-contained release with declared dependencies and no hardcoded external paths.

Type: OpenClaw Skill Name: stock-deep-dive Version: 1.3.8 The skill bundle provides a comprehensive suite for stock and cryptocurrency analysis, including fundamental scoring, sentiment tracking, portfolio management, and dividend analysis. It utilizes legitimate financial data sources such as Yahoo Finance (via yfinance), the SEC (via edgartools), and Google News RSS. While the bundle includes some environment-specific hardcoded paths (e.g., in hot_scanner.py) and a leftover error log (report.html), the code logic is entirely consistent with its stated purpose. The use of subprocesses to modularize analysis is handled safely without shell interpretation, and there is no evidence of malicious intent, data exfiltration, or prompt injection.