Finml Toolkit
v1.0.0A curated list of practical financial machine learning tools and applications. financial machine learning, python, algorithmic-trading, cryptocurrency.
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description claim a curated financial-ML toolkit; included shell script implements a local logging/tracking utility for run/check/convert/analyze/etc. The requested resources (none) align with that purpose.
Instruction Scope
SKILL.md and the script direct all activity to a local data directory (~/.local/share/finml-toolkit by default). There are no commands that read unrelated system files, call external endpoints, or request credentials. Note: the tool records raw user inputs into log files and history.log — so any sensitive strings provided as command arguments will be stored locally.
Install Mechanism
No install spec — instruction-only. A shell script is included in the package but there is no download-from-URL or package installer. The only disk writes occur when the script is run and it creates its own data directory under the user's home.
Credentials
The skill declares no required environment variables or credentials. SKILL.md mentions an optional FINML_TOOLKIT_DIR to change the data directory (reasonable). The script relies on HOME (normal) but does not access unrelated secret env vars.
Persistence & Privilege
always:false and no modifications to other skills or system-wide configs. The script persists logs to its own directory only when executed — no privileged or persistent background components are requested.
Assessment
This appears to be a simple local logging utility matching its description. Before running: (1) review the included script (it will create ~/.local/share/finml-toolkit by default and append any arguments you pass to log files and history.log); (2) avoid passing secrets or API keys as command arguments (they will be stored in plaintext in logs); (3) if you prefer isolation, set FINML_TOOLKIT_DIR to a sandbox directory or inspect/modify the script to meet your needs; (4) note minor bugs/quirks (e.g., JSON export uses naive formatting and may not escape quotes properly). If you want networked features or integrations, ask the author for justification and code/endpoint details before enabling.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.