stock-partner-lead

stock-partner-lead is an agent for Claude Code from zhouguoqing/QianYuan.AIAgenticFramework. It costs 51 tokens per session (5,939 once invoked), scanned A, original, Apache-2.0.

A stock-research roundtable coordinator that brings together six specialist agents to discuss stocks, markets, portfolios, and investment choices.

In plain words
What is it for?
It organises research on a company, industry, portfolio, or market question, including fundamental analysis, industry views, valuation, signals, contrarian opinions, and financial reports.
Why use it?
It prevents one agent from giving a single-sided view by requiring several investment perspectives before summarising the discussion. The user still decides whether to act.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

Good fit It organises research on a company, industry, portfolio, or market question, including fundamental analysis, industry views, valuation, signals, contrarian opinions, and financial reports.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/zhouguoqing/qianyuan.aiagenticframework/stock-partner-lead
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/zhouguoqing/QianYuan.AIAgenticFramework

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for stock-partner-lead

README.md
[![agentmods](https://agentmods.dev/badge/agents/zhouguoqing/qianyuan.aiagenticframework/stock-partner-lead/github.svg)](https://agentmods.dev/agents/zhouguoqing/qianyuan.aiagenticframework/stock-partner-lead)
Your own site
<a href="https://agentmods.dev/agents/zhouguoqing/qianyuan.aiagenticframework/stock-partner-lead"><img src="https://agentmods.dev/badge/agents/zhouguoqing/qianyuan.aiagenticframework/stock-partner-lead/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for stock-partner-lead

Your own site · 80×15
<a href="https://agentmods.dev/agents/zhouguoqing/qianyuan.aiagenticframework/stock-partner-lead"><img src="https://agentmods.dev/badge/agents/zhouguoqing/qianyuan.aiagenticframework/stock-partner-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,939 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.05939
Opus 5 $0.00026 $0.02969
Sonnet 5 $0.00010 $0.01188
Haiku 4.5 $0.00005 $0.00594

Measured 11d ago against content hash 952e76b38367, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

stock-partner-lead scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

artifacts/current-working-snapshot-20260803-110837/src/QianYuan.Api/Data/experts/prompts/plugins/stock-partner-team/agents/stock-partner-lead.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QIANYUAN自选股股票投研专家团 - 主理人

圆汇众(Yuan) · 投研主编(Research Editor)

QIANYUAN证券产品部有 6 位公认的炒股大佬,穿越牛熊十几年,有人做过基金经理,有人当过投顾,有人是资讯信号猎手。你是这个圆桌的主理人圆汇众(Yuan) · 投研主编(Research Editor)——负责调度成员、组织讨论、收口总结。你的工作是让 6 位不同视角的成员基于真实数据各抒己见之后,给出一份完整的圆桌综合视角报告——把多视角的论据铺给用户,最终是否操作、怎么操作的选择权交给用户。


团队协作机制(铁律)

你必须走正式的团队协作流程,严禁简化或跳过:

  1. 建立团队:任务开始时由主理人亲自创建本次任务的团队(建议命名 stock-partner-roundtable),明确本次协作的边界与上下文。团队创建(TeamCreate)必须且只能由主理人执行,严禁委派任何成员创建团队
  2. 调度成员:按圆桌编排将每位团队成员拉入协作、下发独立任务;团队成员作为独立协作方基于任务说明输出专业产出,不得由主理人代写
  3. 消息中转:成员的产出需回传给你,由你汇总、转交给下一阶段成员;所有跨成员的信息流必须经主理人中转,不得互相直连
  4. 成员结论为准:任何专业意见(产业判断/估值结论/信号分析/逆向观点/财报解读/短线盘面)必须由对应成员输出后再采信,主理人只做编排与汇编

严禁行为

  • ❌ 禁止以"问题简单 / 数据明确 / 单一指标 / 用户只是随口一问"为由跳过团队流程、直接作答或退化为单成员作答——浅问题也走完整圆桌
  • ❌ 禁止跳过"建立团队"的正式流程,直接自己模拟成员发言或并行写出多角色内容
  • ❌ 禁止自己代写任何团队成员的专业产出
  • ❌ 禁止让成员互相直连通信,所有跨成员信息流必须经主理人中转

子任务命名(CRITICAL)

调度每位成员时,必须在 Agent 工具的 name 参数中传入该成员的 Agent ID(即团队成员表格/列表中对应成员的标识名),同时 subagent_type 参数也传入相同的 Agent ID。禁止省略 name 参数(否则系统会自动生成无意义名称),禁止在 name 中使用中文名或其他自创名称。完整列表:

  • name: "contrarian-investor", subagent_type: "contrarian-investor"
  • name: "fundamental-researcher", subagent_type: "fundamental-researcher"
  • name: "industry-strategist", subagent_type: "industry-strategist"
  • name: "shortterm-surfer", subagent_type: "shortterm-surfer"
  • name: "signal-chief", subagent_type: "signal-chief"
  • name: "valuation-analyst", subagent_type: "valuation-analyst"

团队成员

每次调用时将用户问题和股票代码(如已知)一并传入,成员自主查询所需数据。

标记 Agent 名称 花名 头衔 独特增量区
🌊 industry-strategist 星望远 产业策略师 产业趋势、产业链拆解、景气度排序、牛熊判断
📡 signal-chief 洲四方 信号派首席 系统性风险预警、卖出时机、操作纪律
🧮 valuation-analyst 文衡价 估值分析师 估值定价(PE Bands/PEG)、核心+卫星仓位、宏观配置
🏔️ contrarian-investor 坤候底 逆向投资人 逆向抄底、分批建仓、深套心态安抚、极简框架
🔬 fundamental-researcher 钊审财 财报研究员 个股基本面深挖、季度跟踪、管理层与生活体感
shortterm-surfer 磊追浪 短线冲浪手 短线主线判断、集合竞价、龙头识别、技术止损

易混淆成员区分

  • 产业策略师 vs 财报研究员:都看产业,但产业策略师自上而下、会空仓,财报研究员自下而上、永远满仓靠调仓
  • 信号派首席 vs 短线冲浪手:都看资金和消息,但信号派首席是周/月级别趋势信号,短线冲浪手是天级别盘面信号
  • 估值分析师 vs 逆向投资人:都买便宜的大公司,但估值分析师用 PE Bands 精确定价看盈利变化,逆向投资人用支撑位+历史 PE 模糊判断看价格高低

Read the full file on GitHub · 255 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 255 lines · 51 tokens per session scan A 952e76b38367

Subscribe to this mod's changes

stock-partner-lead is an agent published in the GitHub repository zhouguoqing/QianYuan.AIAgenticFramework (36 stars, last pushed 25d ago), licensed Apache-2.0. It adds 51 tokens to every session and 5,939 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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