Pair Trade Screener
Analysis
The artifacts describe a coherent stock pair-analysis tool with no hidden or destructive behavior, but it does require user-managed Python dependencies and an FMP API key.
Findings (2)
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.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
pip install pandas numpy scipy statsmodels requests
The setup uses user-directed, unpinned Python package installation. These packages are common and purpose-aligned, but unpinned installs depend on whatever versions the package index resolves at install time.
Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.
export FMP_API_KEY="your_key_here" Or add to `~/.bashrc` / `~/.zshrc` for persistence.
The skill needs a Financial Modeling Prep API credential and suggests optional shell-profile storage. This is expected for the stated market-data purpose, but users should treat the key as a credential.
