Rona Chart
v1.0.0Decompose Return on Net Assets into component ratios. Use for asset efficiency analysis, capital structure review, and business model comparison.
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by@linuszz
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name and description match the SKILL.md content: it provides a methodology for decomposing Return on Net Assets into margins and turnover components. The skill requests no binaries, environment variables, installs, or access beyond what is necessary for financial analysis.
Instruction Scope
The runtime instructions are limited to financial formulas, analysis steps, and output templates (define scope, gather balance sheet/income statement data, calculate ratios, benchmark, visualize). They do not instruct the agent to read system files, access external endpoints, or exfiltrate data. Note: the guide is a template and leaves data sourcing to the caller, so you should ensure any financial data supplied is appropriate and that the agent is given only the data you intend analyzed.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing will be written to disk or downloaded by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no disproportionate credential requests relative to the stated financial-analysis purpose.
Persistence & Privilege
Flags show always:false and normal user-invocable/autonomous settings. The skill does not request persistent presence or elevated privileges and does not claim to modify other skills or agent configuration.
Assessment
This skill is a benign, self-contained methodology template for RONA decomposition. Before using it: (1) confirm and sanitize the financial data you provide (balance sheet and income statement items) — do not send sensitive proprietary data unless you intend to; (2) verify the formulas and denominators used (e.g., definition of 'Net Assets', treatment of averages) match your accounting conventions; (3) pick appropriate industry benchmarks before benchmarking; and (4) treat outputs as analytic guidance and double-check calculations independently. If you plan to allow autonomous runs against live data, control what data the agent can access and review audit logs.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.