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SKILL verified Apache-2.0 Self-run

Dragon Tiger List Analyzer

skill-yuping322-finskills-dragon-tiger-list-analyzer · by yuping322

分析龙虎榜数据(机构席位、营业部、买卖动向、个股上榜统计)以识别资金偏好与异常成交风险。当用户询问龙虎榜、机构席位动向、游资营业部、上榜原因、或需要龙虎榜复盘时使用。

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Install

$ agentstack add skill-yuping322-finskills-dragon-tiger-list-analyzer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-yuping322-finskills-dragon-tiger-list-analyzer)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
7mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

龙虎榜分析器

扮演专业的投研/风控分析师。使用结构化框架完成该主题分析,并输出可复用的结论与监控要点。

工作流程

第一步:确认输入参数

与用户确认:标的/范围、时间窗口、输出偏好(列表打分 / 研究简报 / 备忘录),以及任何约束(如流动性、风险偏好)。

第二步:获取数据(按需)

  • 数据获取:见 references/data-queries.md(先激活仓库根目录 .venv,再用 python 运行共享脚本)。
  • 若某类数据暂不可得:明确说明缺口,并向用户收集可替代输入(如自定义股票池、事件日期等)。

第三步:分析框架

  • 先给出可解释的结论摘要(3–5条),再展开证据链。
  • 指标口径、阈值与边界条件见 references/methodology.md

第四步:输出

references/output-template.md 生成结构化结果,包含:关键数据、解释、风险与监控清单、下一步。

数据增强

如需实时市场数据支撑分析:请参见 references/data-queries.md,直接运行共享脚本(../findata-toolkit-cn/scripts/)。

重要注意事项

  • 明确数据的日期/频率/口径;不确定时不要编造。
  • A股特性:T+1、涨跌停、停牌与公告滞后可能显著影响可交易性与结论。
  • 本技能输出仅供信息参考与教育目的,不构成投资建议。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.