Money
v1.0.0Personal finance guidance with practical rules for saving, investing, and avoiding common traps.
⭐ 2· 998·4 current·4 all-time
byIván@ivangdavila
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 and description describe personal finance guidance and the SKILL.md contains practical finance rules and a checklist for asking user context (debts, income stability, country). No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
Instructions stay within the domain of giving advice and explicitly tell the agent to ask about debts, income stability, and country of residence. The skill does not instruct reading local files, environment variables, or sending data to external endpoints. Note: it will request sensitive personal financial information from the user as part of normal operation.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are required. The only 'secrets' involved are user-supplied personal financial details entered during a conversation, which is proportionate to the purpose but should be treated as sensitive.
Persistence & Privilege
Defaults are used (always:false, model invocation enabled). The skill does not request permanent presence or system-wide modifications. If you allow autonomous invocation, the agent might proactively ask for personal context; consider disabling autonomous invocation if you prefer manual control.
Assessment
This skill appears coherent and appropriate for financial guidance. Before using it: (1) Be mindful that it will ask for sensitive personal financial details (debts, income, country). Do not share account logins, passwords, full SSNs/IDs, or bank credentials — those are unnecessary for general advice. (2) If you need country-specific tax or regulatory guidance, consider anonymizing amounts (use ranges) or confirm you want to share exact figures. (3) If you prefer to review each interaction, disable autonomous invocation on your agent so the skill cannot proactively solicit private data.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.
Runtime requirements
💰 Clawdis
OSLinux · macOS · Windows
