gushen

gushen is a skill for Claude Code, Codex from DuanZGit/D-Hub. It costs 110 tokens per session (4,671 once invoked), scanned A, original, MIT.

A stock and fund research assistant for users who explicitly invoke it by name. It combines financial, business, industry, technical, market-mood, and risk analysis into a fixed eight-part report.

In plain words
What is it for?
Use it for supported stock or fund research, market data questions, portfolio discussions, trade ideas, and daily order planning.
Why use it?
It gives a repeatable structure for evaluating investments instead of relying on one viewpoint or an unstructured recommendation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for supported stock or fund research, market data questions, portfolio discussions, trade ideas, and daily order planning.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/duanzgit/d-hub/gushen
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.

Any agent
npx skills add DuanZGit/D-Hub --skill gushen
Clone the repo
git clone --depth 1 https://github.com/DuanZGit/D-Hub

Made for: Claude Code, Codex.

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 gushen

README.md
[![agentmods](https://agentmods.dev/badge/skills/duanzgit/d-hub/gushen/github.svg)](https://agentmods.dev/skills/duanzgit/d-hub/gushen)
Your own site
<a href="https://agentmods.dev/skills/duanzgit/d-hub/gushen"><img src="https://agentmods.dev/badge/skills/duanzgit/d-hub/gushen/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 gushen

Your own site · 80×15
<a href="https://agentmods.dev/skills/duanzgit/d-hub/gushen"><img src="https://agentmods.dev/badge/skills/duanzgit/d-hub/gushen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,671 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 $0.00110 $0.04671
Opus 5.5 $0.00044 $0.01868
Sonnet 5.5 $0.00022 $0.00934
Haiku 4.5 $0.00011 $0.00467

Measured 6d ago against content hash 9c22726d03ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gushen 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 6d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (assets/three.module.min.js, scripts/load_key.sh, tools/adanos.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/gushen/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

路径约定:本文件里 $SKILLS = 技能根目录。执行前先解析: SKILLS="$HOME/.agents/skills"; [ -d "$SKILLS" ] || SKILLS=/var/minis/skills (UG/本机命中 ~/.agents/skills,Minis 命中 /var/minis/skills。)

触发条件(硬边界)

只有用户明确提到 gushen 或 股神 时,才激活 gushen。

  • 触发词:gushen、股神

不触发 gushen 的情况:

  • 普通搜索/查资料 → 走 agent-reach
  • 食谱/健康/生活技巧 → 走 DK
  • 深度调研 → 走 research
  • 即使用户问的是股票/行情/基金,只要没提 gushen/股神,就不触发 gushen

执行协议(唯一权威)

完整 /gushen 必须先读取并遵守:references/execution-contract.md(Gate A-E)。 本文件的流程说明不得与契约冲突,冲突以契约为准。

硬门槛: 每次完整分析必须出现且仅出现 8 个 Agent(统一 5 分制),缺一或分制错误即未完成。

# 角色 对齐上游 纪律职责(必出 1 句)
1 巴菲特 financial-analyst 财务+估值,必市值验算
2 段永平 business-analyst 商业模式 + 镜子测试
3 芒格 industry-researcher 护城河 + 逆向检验
4 李录 risk-assessor 长期确定性 + 10年终局
5 技术分析师 — 趋势+支撑阻力
6 动量交易员 — 量价+突破 + 反共识
7 情绪分析师 — 资金流+拥挤度 + 反共识
8 风控官 — 仓位+Kelly符号+否决权

纪律(效能来源,ai-berkshire): 每 Agent 末句 1 句逆向/反共识(价值组"什么情况下我错",Trading 组"聪明人为何反向");灰色地带是合法结论,不硬给价位。

详见:references/execution-contract.md。

Price is what you pay, value is what you get. — Warren Buffett

报告视觉规范(唯一风格)

所有 HTML 报告必须直接套用 templates/daily_report.html v4 lean,不得回退旧版或自创设计。

  • 设计定位:移动金融研究简报,DESIGN_VARIANCE 5 / MOTION_INTENSITY 5 / VISUAL_DENSITY 6。
  • 主题:暗色单主题 bg #0b0e13 / surface #12161f / surface-2 #171c27。
  • 强调色:琥珀金 #e8b04b 单一,禁紫蓝渐变。
  • 涨跌色:红 #ff4d5e=涨/盈利;绿 #00c767=跌/亏损,全页锁死。
  • 禁 emoji:Agent 用姓氏方块,禁图标。
  • 数字:.num tabular-nums,字阶 11/13/15/26px,圆角 10px。
  • 信息架构(精华优先): 现在做什么 → 短中期三窗口 → 现在发生什么(指数/组合/板块/事件/技术+freshness)→ 为什么(价值汇总→Trading 汇总→8 Agent 明细→交叉验证)→ 最后复盘(历史→风险/质量→总结)。
  • 固定顺序:masthead → gates A-E → 今日行动 → 短中期 → 市场状态 → 价值汇总 → Trading 汇总 → 8 Agent → 交叉验证 → 历史复盘 → 风险/质量 → 最终总结 → footer。
  • Three.js:可选低功耗,必须有文字降级,不承载唯一事实。
  • 外部依赖:零 CDN,模板改动过 validate_report.py。

设计原则

  • 数据用工作流:workflow.py 单入口(幂等+重试+旧文件兜底),growth/pe 自动算不手填,精算前置直供 Agent
  • 决策用纪律:脚本不替决策,纪律(否决/镜子/逆向/反共识)由提示词+校验器强制。
  • 独立判断不靠并行:价值组禁 MA/RSI/量比/MACD/VIX,Trading 组禁 PE/ROE/EPS/股息,校验器字符级拦。
  • 精华优先:操作建议前置,纪律细节折叠,报告总长不因纪律而膨胀。
  • 红涨绿跌 / 次日作废 / 移动端优先 / 先指数后个股 / 持仓必结合(保持 v2)。

Read the full file on GitHub · 245 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. 6d ago First seen · 245 lines · 110 tokens per session scan A 9c22726d03ad

Subscribe to this mod's changes

gushen is a skill published in the GitHub repository DuanZGit/D-Hub (0 stars, last pushed today), licensed MIT. It adds 110 tokens to every session and 4,671 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-11-06.

Related

gushen compared with skills from other repositories

gushen next to 6 skills from other repositories
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