Borrowing it
Nothing to install: this file belongs to belos-street/stock-analytics-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/belos-street/stock-analytics-skill/main/.agents/skills/stock-investment-logic/SKILL.mdgit clone --depth 1 https://github.com/belos-street/stock-analytics-skillWrote 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.
[](https://agentmods.dev/skills/belos-street/stock-analytics-skill/stock-investment-logic)<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/stock-investment-logic"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/stock-investment-logic/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.
<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/stock-investment-logic"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/stock-investment-logic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.01932 |
| Opus 5 | $0.00033 | $0.00966 |
| Sonnet 5 | $0.00013 | $0.00386 |
| Haiku 4.5 | $0.00007 | $0.00193 |
Grade A, and why
stock-investment-logic 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.
个股投资逻辑研究
技能核心定位
核心目标
用于个股核心投资逻辑深度研究,聚焦个股研究、基本面分析、机构研究。用户输入一个股票名称后,希望快速得到一份接近券商研究员风格的高质量个股分析。
目标用户
- 价值投资者:深入研究个股基本面
- 长线投资者:寻找长期持有的标的
- 研究学习者:学习如何分析个股
- 投资决策者:辅助投资决策
技能边界
可提供服务:
- 公司业务分析
- 投资逻辑梳理
- 财务数据分析
- 估值分析
- 风险提示
- 投资建议
不可提供服务:
- 具体买卖指令
- 承诺收益
- 预测股价
- 内幕信息
分析框架
一、公司概况
基本信息
公司全称:
股票代码:
所属行业:
上市时间:
总市值:
流通市值:
主营业务
核心产品/服务:
收入构成:
利润贡献:
商业模式:
行业地位
市场份额:
行业排名:
核心竞争力:
竞争壁垒:
二、投资逻辑
核心投资逻辑
逻辑1:
逻辑2:
逻辑3:
成长驱动因素
因素1:
因素2:
因素3:
护城河分析
品牌护城河:
技术护城河:
规模护城河:
成本护城河:
渠道护城河:
三、财务分析
盈利能力
毛利率趋势:
净利率趋势:
ROE趋势:
杜邦分析:
成长能力
营收增速:
净利润增速:
成长质量:
持续性判断:
财务健康
资产负债率:
流动比率:
现金流质量:
资产质量:
分红能力
分红率:
股息率:
分红稳定性:
分红可持续性:
四、估值分析
相对估值
PE(TTM):
PB:
PS:
EV/EBITDA:
历史分位
PE历史分位:
PB历史分位:
所处区间:
估值逻辑
为什么给这个估值?
高估/低估原因?
重估催化剂?
五、风险分析
行业风险
行业周期风险:
政策风险:
竞争风险:
技术替代风险:
公司风险
经营风险:
财务风险:
管理层风险:
多元化风险:
市场风险
系统性风险:
流动性风险:
估值回调风险:
汇率风险(如有):
六、竞争格局
主要竞争对手
竞争对手1:
竞争对手2:
竞争优势对比:
行业波特五力
行业内竞争:
潜在进入者:
替代品威胁:
供应商议价能力:
客户议价能力:
七、投资建议
投资评级
评级:
目标价:
当前价:
上涨空间:
操作建议
买入区间:
持有期限:
止损位:
卖出条件:
适合投资者
风险承受能力:
投资期限:
投资风格:
报告输出格式
个股深度研究报告
# XXXX 深度研究报告
## 一、投资要点
- 核心逻辑:
- 核心看点:
- 目标价:
- 评级:
## 二、公司概况
### 基本信息
| 项目 | 内容 |
|------|------|
| 公司名称 | XXXX |
| 股票代码 | XXXX |
| 所属行业 | XXXX |
| 总市值 | XXXX亿 |
| 流通市值 | XXXX亿 |
### 主营业务
XXXX
### 行业地位
XXXX
## 三、投资逻辑
### 核心逻辑
1. XXXX
2. XXXX
3. XXXX
### 成长驱动
- XXXX
- XXXX
- XXXX
### 护城河
XXXX
## 四、财务分析
### 盈利指标
| 指标 | 2022 | 2023 | 2024E |
|------|------|------|-------|
| 营收(亿) | | | |
| 净利润(亿) | | | |
| 毛利率 | | | |
| 净利率 | | | |
| ROE | | | |
### 成长指标
| 指标 | 2022 | 2023 | 2024E |
|------|------|------|-------|
| 营收增速 | | | |
| 净利润增速 | | | |
### 财务健康
| 指标 | 数值 | 评价 |
|------|------|------|
| 资产负债率 | | |
| 流动比率 | | |
| 经营现金流/净利润 | | |
## 五、估值分析
### 相对估值
| 指标 | 数值 | 历史分位 | 行业平均 |
|------|------|---------|---------|
| PE | | | |
| PB | | | |
| PS | | | |
### 估值结论
XXXX
## 六、风险提示
### 行业风险
1. XXXX
2. XXXX
### 公司风险
1. XXXX
2. XXXX
### 市场风险
1. XXXX
2. XXXX
## 七、投资建议
### 评级与目标价
- 评级:
- 目标价:
- 上涨空间:
- 逻辑:
### 操作建议
- 买入区间:
- 持有期:
- 止损位:
- 卖出条件:
## 八、跟踪要点
### 需要持续跟踪
- XXXX
- XXXX
### 验证指标
- XXXX
- XXXX
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.
- 12d ago First seen · 405 lines · 66 tokens per session scan A 7dbca8475f07
stock-investment-logic is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 1,932 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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