us
v1.0.0Delivers structured US equity research including snapshots, earnings analysis, valuation scenarios, catalysts, risks, and actionable trade or monitoring plans.
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by@jhryo25
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/description (US equity research) matches the SKILL.md. Required inputs, deliverables, and data expectations align with producing research, valuation scenarios, catalysts, risks, and optional trade plans. There are no unrelated resource demands (no cloud creds, binaries, or config paths).
Instruction Scope
Runtime instructions are focused on research tasks: structured outputs, clarifying questions, use of market/data tool calls if available, and explicit rules to avoid fabricating data. The doc does not instruct the agent to read arbitrary files, environment variables, or send data to third-party endpoints. It explicitly states fallback behavior if tools are unavailable.
Install Mechanism
No install spec and no code files — instruction-only. That minimizes on-disk execution risk. There are no download URLs or package installs to review.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The tool-contract lists possible data functions (get_price, get_fundamentals, etc.); these are appropriate for the purpose and are optional depending on the OpenClaw environment.
Persistence & Privilege
Flags are defaults (always: false, agent-invokable, model invocation allowed). The skill does not request persistent/privileged system presence or modify other skills' configs.
Assessment
This skill appears coherent and low-risk: it only contains instructions for producing research and asks for no credentials or installs. Before installing, consider: 1) If you paste private filings/transcripts into prompts, those become input data—avoid sharing confidential information. 2) The skill can reference platform-provided data tools (get_price, get_fundamentals); check what data sources those tools use and whether they require credentials you manage. 3) Outputs are not guaranteed investment advice—validate models, assumptions, and sources before acting on trade plans. 4) If you need automated execution (linking to a broker), do not rely on this skill unless you explicitly verify safe, authorized integrations. Overall: safe to install from a permission perspective, but treat its research as one input among many and confirm data provenance.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.