joinquant聚宽平台的策略助手,DR成熟框架

v1.0.0

提供聚宽量化策略开发模板、代码片段和API参考,助力策略快速编写与风险管理实践。

1· 281·1 current·1 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (JoinQuant strategy helper) match the provided templates, examples, snippets and API reference. All required artifacts (strategy templates, example code, documentation) are appropriate for the stated purpose; no unrelated services, binaries, or credentials are requested.
Instruction Scope
SKILL.md simply describes how to use templates, snippets, and API docs inside Cursor. The runtime instructions do not direct the agent to read arbitrary system files, environment variables, or to transmit data to external endpoints. The included code uses JoinQuant APIs (jqdata) and platform-specific functions, which is expected for trading strategy templates.
Install Mechanism
No install spec is present (instruction-only with static code files). Nothing is downloaded or written by an installer; risk from install mechanism is minimal.
Credentials
The skill does not declare or require any environment variables, credentials, or config paths. The code assumes use of the JoinQuant runtime (jqdata) but does not request unrelated secrets or platform credentials in the skill bundle.
Persistence & Privilege
Skill flags show always:false and default invocation settings. It does not request permanent agent-wide presence or attempt to modify other skills or system settings.
Assessment
This package is internally consistent with its stated purpose, but before installing consider: 1) Verify the source/trustworthiness — the skill's source/homepage is unknown; review the included code yourself or with a developer. 2) Understand runtime context — these templates contain code that will place orders when run on JoinQuant; do not run against a live account until you have tested in a sandbox/backtest. 3) Credentials and execution are handled outside the skill — the skill doesn't request API keys, but executing strategies on JoinQuant normally requires linking your account/API credentials to the platform; keep those credentials secure. 4) Audit any changes before you let an autonomous agent execute code that can place trades. Overall the skill appears coherent and appropriate, but exercise normal caution when enabling trading-related code from an unverified source.

Like a lobster shell, security has layers — review code before you run it.

latestvk976s6syfrgca0krypq7bhneg582n4ff

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Comments