stock-analytics-skill: Skill for Claude Code

.agents/skills/stock-deep-analysis/SKILL.md

stock-deep-analysis is a skill for Claude Code, Codex from belos-street/stock-analytics-skill. It costs 47 tokens per session (5,279 once invoked), scanned A, original, MIT.

A stock-analysis framework that examines a company’s business, financial results, valuation, price trends and risks. It covers measures such as profit margins, return on equity, price-to-earnings ratios and price-to-book ratios.

In plain words
What is it for?
Use it to study an individual stock, review company finances and business models, compare valuation, examine technical trends and organise an investment case.
Why use it?
It brings different parts of company research into one understandable assessment and highlights risks. It does not give direct buy or sell orders, promise returns or provide price predictions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is belos-street/stock-analytics-skill's own configuration. It tells Claude Code and Codex how to work on stock-analytics-skill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything stock-analytics-skill configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/belos-street/stock-analytics-skill/main/.agents/skills/stock-deep-analysis/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/belos-street/stock-analytics-skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,279 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00047 $0.05279
Opus 5 $0.00023 $0.02639
Sonnet 5 $0.00009 $0.01056
Haiku 4.5 $0.00005 $0.00528

Measured 12d ago against content hash c3e457dc1024, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

stock-deep-analysis 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.

.agents/skills/stock-deep-analysis/SKILL.md · 831 lines

How it starts

The opening of the file, as written. The whole thing — 831 lines — stays where its author put it; the contents beside it link to each section on GitHub.

个股深度分析Skill

技能核心定位

核心目标

为用户提供个股的专业深度分析,帮助用户理解个股的基本面、估值水平、技术走势和潜在风险,辅助用户做出更理性的投资决策。

目标用户

  • 个股投资者:投资个股的投资者
  • 基本面投资者:注重公司基本面的投资者
  • 价值投资者:寻找被低估股票的投资者
  • 成长投资者:寻找高成长股票的投资者

技能边界

可提供服务

  • 基本面分析:财务指标、业务模式、竞争优势
  • 估值分析:PE、PB、PEG、DCF等估值方法
  • 技术面辅助:趋势、支撑压力位、均线走势
  • 风险评估:行业风险、公司风险、市场风险
  • 投资逻辑梳理:投资逻辑、投资风险、注意事项

不可提供服务

  • 具体买卖指令
  • 承诺收益
  • 预测涨跌
  • 内幕信息

基本面分析

公司概况分析

1. 公司基本信息

公司全称与代码

  • A股代码:如600xxx、000xxx
  • 港股代码:如007xx、099xx
  • 美股代码:如xxx

主营业务

  • 主要产品或服务
  • 收入构成
  • 利润贡献

所属行业

  • 所属证监会行业
  • 所属申万行业
  • 行业地位

公司规模

  • 总市值
  • 流通市值
  • 营业收入
  • 净利润
2. 发展历程

公司历史

  • 成立时间
  • 上市时间
  • 重要里程碑

股权结构

  • 控股股东
  • 实际控制人
  • 股权激励

管理团队

  • 董事长、总经理
  • 核心管理层
  • 激励机制

财务指标分析

1. 盈利能力指标

毛利率

  • 公式:毛利率 = (营业收入 - 营业成本) / 营业收入
  • 解读:毛利率越高,说明公司产品竞争力越强
  • 行业对比:与行业平均毛利率对比

净利率

  • 公式:净利率 = 净利润 / 营业收入
  • 解读:净利率越高,说明公司盈利能力越强
  • 趋势分析:近5年净利率变化

ROE(净资产收益率)

  • 公式:ROE = 净利润 / 股东权益
  • 解读:ROE越高,说明股东投资回报越高
  • 行业对比:与行业平均ROE对比

ROA(总资产收益率)

  • 公式:ROA = 净利润 / 总资产
  • 解读:ROA越高,说明公司资产利用效率越高
  • 趋势分析:近5年ROA变化
2. 成长能力指标

营收增长率

  • 公式:营收增长率 = (本期营收 - 上期营收) / 上期营收
  • 解读:营收增长越快,说明公司发展越好
  • 趋势分析:近5年营收增长率变化

净利润增长率

  • 公式:净利润增长率 = (本期净利润 - 上期净利润) / 上期净利润
  • 解读:净利润增长越快,说明公司盈利越好
  • 趋势分析:近5年净利润增长率变化

扣非净利润增长率

  • 公式:扣非净利润增长率 = (本期扣非净利润 - 上期扣非净利润) / 上期扣非净利润
  • 解读:扣除非经常性损益后的净利润,更反映公司真实盈利能ason
3. 财务健康指标

资产负债率

  • 公式:资产负债率 = 总负债 / 总资产
  • 解读:资产负债率越低,财务风险越小
  • 行业对比:与行业平均资产负债率对比

流动比率

  • 公式:流动比率 = 流动资产 / 流动负债
  • 解读:流动比率越高,短期偿债能力越强
  • 合理范围:1.5-2.0

速动比率

  • 公式:速动比率 = (流动资产 - 存货) / 流动负债
  • 解读:速动比率越高,短期偿债能力越强
  • 合理范围:1.0-1.5
4. 现金流指标

经营现金流/营收

  • 公式:经营现金流/营收 = 经营现金流净额 / 营业收入
  • 解读:比值越高,说明公司收入质量越好
  • 合理范围:10%以上

自由现金流

  • 公式:自由现金流 = 经营现金流 - 资本支出
  • 解读:自由现金流越多,说明公司越能创造价值
  • 趋势分析:近5年自由现金流变化

分红率

  • 公式:分红率 = 股息支付 / 净利润
  • 解读:分红率越高,说明公司回报股东越多
  • 行业对比:与行业平均分红率对比

业务模式分析

1. 产业链位置

上游

  • 主要供应商
  • 供应商集中度
  • 原材料成本占比

中游

  • 生产模式
  • 产能利用率
  • 成本控制

下游

  • 主要客户
  • 客户集中度
  • 销售渠道
2. 商业模式

收入模式

  • 产品销售
  • 服务收费
  • 订阅制
  • 平台抽成

Read the full file on GitHub · 831 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. 12d ago First seen · 831 lines · 47 tokens per session scan A c3e457dc1024

Subscribe to this mod's changes

stock-deep-analysis is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 5,279 once invoked, about $0.0002 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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