Portfolio Dehydrator

Portfolio Dehydrator is a Web3 portfolio diagnosis and allocation optimization skill. Use it when the user wants Codex to turn a PRD or coding request into a...

This skill appears coherent and focused: it bundles a Python implementation that fetches public exchange candles and runs SLSQP optimization, and it does not ask for API keys or system credentials. Before installing or running it, consider these practical steps: (1) Inspect assets/web3_portfolio_optimizer.py yourself (or run it in an isolated environment) to confirm the network calls are only to the listed exchange endpoints and there are no unexpected external uploads; (2) run pip install in a virtualenv to avoid contaminating your system Python; (3) note the small metadata inconsistency (registry entry says no install spec while SKILL.md contains a pip install command) — verify which install behavior applies in your platform; (4) the skill performs financial math — validate its outputs on known test inputs before using recommendations in production; (5) if you require stronger assurance, run the script in a network-restricted sandbox to observe exactly which hosts it calls and audit logs for data exfiltration. Overall, no direct red flags (no credential exfiltration, no obscure remote downloads, no system file access) were found.

Type: OpenClaw Skill Name: portfolio-dehydrator Version: 1.0.3 The "Portfolio Dehydrator" skill is a legitimate quantitative tool for analyzing crypto portfolios. The core logic in assets/web3_portfolio_optimizer.py fetches public market data from major exchanges (OKX, Gate.io, Bybit, Bitget) and uses standard mathematical libraries (scipy, numpy, pandas) to calculate risk-adjusted returns and optimal allocations. The instructions in SKILL.md are strictly task-oriented, and the code contains no signs of data exfiltration, credential theft, or unauthorized remote execution. All network activity is restricted to public market data endpoints.