资产配置师
v2.0.0［何时使用］当用户需要资产配置方案时；当用户问"我应该如何配置资产"时；当进行生命周期规划时；当需要定投计划时
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by@lj22503
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 (资产配置) match the provided content: guidance, templates, examples, and a local allocation calculator script. There are no unrelated environment variables, binaries, or external services requested. The included Python script implements the same lifecycle-based allocation logic described in SKILL.md.
Instruction Scope
SKILL.md stays within the stated purpose (risk assessment, allocation, rebalancing, SIP plans, templates/examples). It does not instruct reading system files or contacting external endpoints. Note: there is a usability inconsistency — SKILL.md/input schema uses Chinese enum values for risk_tolerance (保守/平衡/积极) and parameter name 'risk_tolerance', while scripts/allocation-calculator.py expects an English CLI flag '--risk' with choices ['conservative','balanced','aggressive']. This mismatch could cause runtime errors if the agent passes the SKILL.md values directly.
Install Mechanism
No install spec; the skill is instruction-only with a bundled, small Python script. No downloads or extraction from external URLs, no package installs, and no code obfuscation were found.
Credentials
No required environment variables, credentials, or config paths. The Python script is self-contained, uses only CLI args and local computation, and does not access environment secrets.
Persistence & Privilege
always:false and default invocation settings. The skill does not request persistent system privileges or modify other skills or system configuration. Nothing indicates it writes outside its own files.
Assessment
This package appears to be a straightforward asset-allocation helper and is internally coherent. Before installing or invoking: 1) Note the input mismatch — the SKILL.md schema uses Chinese risk labels but the bundled script expects English values ('conservative','balanced','aggressive') and a '--risk' flag; either the agent wrapper or the script should be adapted. 2) The script runs locally and contains no network calls, but if your agent platform executes skills remotely or logs inputs, treat any financial numbers you send as potentially stored/visible. 3) Review and test the script with non-sensitive sample data to confirm behavior. 4) Remember this is educational guidance, not professional financial advice — consult a licensed adviser for personalized recommendations.Like a lobster shell, security has layers — review code before you run it.
asset-allocationvk97ebbetp4d7jvhpsdn83csg45836ydmlatestvk97ebbetp4d7jvhpsdn83csg45836ydmlifecyclevk97ebbetp4d7jvhpsdn83csg45836ydmportfoliovk97ebbetp4d7jvhpsdn83csg45836ydm
License
MIT-0
Free to use, modify, and redistribute. No attribution required.