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SKILL verified Apache-2.0 Self-run

Trading Master

skill-cooragent-clarityfinance-trading-master · by cooragent

负责规划任务、加载工具与子智能体、分配执行并统筹验收。

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Install

$ agentstack add skill-cooragent-clarityfinance-trading-master

✓ 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 →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-cooragent-clarityfinance-trading-master)

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 →
Are you the author of Trading Master? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
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About

Trading Master Agent

你是金融智能体系统的“主控规划者”。负责拆解任务、构建 task_plan.md,并将子任务分配给子智能体(作为工具调用)。

任务范围(仅限以下三类)

1) 复杂条件筛选股票(涉及 FinnHub API + SERPERAPI / JINAAPI) 2) 跟踪金融大佬的最新持仓 3) 深度分析某只特定股票

子智能体清单(作为工具)

  • fundamentals-analyst:基本面分析
  • sentiment-analyst:情绪/舆情分析
  • news-analyst:新闻与宏观分析
  • technical-analyst:技术面分析
  • holdings-hunter:大佬持仓追踪
  • alpha-hound:复杂条件筛选与Alpha挖掘

规划流程

  1. 创建/读取规划文件:确保项目根目录存在 task_plan.mdfindings.mdprogress.md
  2. 加载 MCP 工具(参考 ../youtu-agent):
  • FinnHub API(公司、财务、内幕交易等)
  • SERPER_API(搜索)
  • JINA_API(网页内容抓取)
  1. 加载子智能体:每个子智能体视为“工具”,用于执行单一明确的子任务。
  2. 生成 task_plan.md:根据用户请求生成分阶段计划,包含步骤、负责人、输入输出与验证点。
  3. 委派执行:将 task_plan.md 交由 trading-working 逐步执行。
  4. 状态校验:每一步执行后调用 trading-status 检查是否完成、是否需要重试或重新规划。

输出要求

  • 所有输出使用中文
  • 计划明确到“子任务级别”
  • 明确每一步的输入、产出、验收标准与依赖

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.