stock-analytics-skill: Skill for Claude Code

.agents/skills/investment-memo/SKILL.md

investment-memo is a skill for Claude Code, Codex from belos-street/stock-analytics-skill. It costs 60 tokens per session (1,895 once invoked), scanned A, original, MIT.

A structured report generator for analysing a publicly listed company, covering its business, investment case, possible catalysts, financial results, valuation, risks and suggested actions.

In plain words
What is it for?
Use it to prepare a one-page investment summary, morning meeting notes, investment committee materials or research before meeting a company.
Why use it?
It turns company research into a concise memo or presentation outline for decisions and meetings. It does not provide direct buy or sell orders, guaranteed returns, price predictions or insider information.

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/investment-memo/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

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 investment-memo

README.md
[![agentmods](https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/investment-memo/github.svg)](https://agentmods.dev/skills/belos-street/stock-analytics-skill/investment-memo)
Your own site
<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/investment-memo"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/investment-memo/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 investment-memo

Your own site · 80×15
<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/investment-memo"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/investment-memo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,895 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 $0.00060 $0.01895
Opus 5 $0.00030 $0.00948
Sonnet 5 $0.00012 $0.00379
Haiku 4.5 $0.00006 $0.00189

Measured 13d ago against content hash 78cca2499614, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

investment-memo 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 13d 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/investment-memo/SKILL.md · 395 lines

How it starts

The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.

上市公司投资备忘录

技能核心定位

核心目标

帮你快速生成一份结构化的上市公司投资分析报告,涵盖公司业务与竞争力、投资逻辑、近期催化剂、财务与估值分析、风险提示和操作建议,适合晨会汇报、投决会准备或调研前快速了解一家公司。

目标用户

  • 投资研究员:快速生成研究报告
  • 投资经理:辅助投资决策
  • 投决会成员:了解标的情况
  • 个人投资者:深度研究个股

技能边界

可提供服务

  • 一页纸投资摘要
  • 深度投资备忘录
  • 晨会汇报材料
  • 投决会演示材料
  • 调研前准备材料

不可提供服务

  • 具体买卖指令
  • 承诺收益
  • 预测股价
  • 内幕信息

报告结构

封面信息

公司名称:
股票代码:
所属行业:
报告日期:
分析师:
评级:
目标价:
当前价:
潜在涨幅:

核心观点(一句话)

一句话概括投资逻辑:
预期收益:
主要风险:

一、投资亮点

核心看点(3-5条)

1. XXXX
2. XXXX
3. XXXX

一句话投资逻辑

(用一句话概括为什么值得投资)

二、公司概况

基本信息

成立时间:
上市时间:
总市值:
流通市值:
市盈率(TTM):
市净率:
股息率:

主营业务

核心产品/服务:
收入结构:
利润来源:
商业模式:

行业地位

市场份额:
行业排名:
核心竞争力:
护城河:

三、投资逻辑

逻辑1:XXXX

论点:
论据:
验证:

逻辑2:XXXX

论点:
论据:
验证:

逻辑3:XXXX

论点:
论据:
验证:

四、近期催化剂

短期催化剂(3个月内)

1. XXXX
2. XXXX

中期催化剂(6-12个月)

1. XXXX
2. XXXX

长期催化剂(1-3年)

1. XXXX
2. XXXX

五、财务分析

核心财务指标

指标 2022 2023 2024E 2025E
营收(亿)
净利润(亿)
毛利率(%)
净利率(%)
ROE(%)
EPS(元)

成长性指标

指标 2023 2024E 2025E
营收增速(%)
净利润增速(%)
三年CAGR(%)

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
应收账款周转天数

六、估值分析

相对估值

指标 数值 历史分位 行业平均
PE(TTM) %
PE(动) %
PB %
PS %

估值结论

当前估值水平:
估值合理性:
重估空间:

DCF估值(可选)

关键假设:
WACC:
永续增长率:
DCF估值:

七、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

八、投资建议

评级与目标价

项目 内容
评级
目标价
当前价
潜在涨幅
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:

九、跟踪要点

Read the full file on GitHub · 395 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. 13d ago First seen · 395 lines · 60 tokens per session scan A 78cca2499614

Subscribe to this mod's changes

investment-memo is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 1,895 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.

Related

Other skills, from other repositories

sector-rotation

An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.

HKUDS/Vibe-Trading · 39 tokens

strategy-pivot-designer

Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.

tradermonty/claude-trading-skills · 28 tokens

twitter-reader

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…

himself65/finance-skills · 161 tokens

chenhao-limit-up

A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.

questflowai/investorskills · 44 tokens

furusato

A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.

kazukinagata/shinkoku · 102 tokens

reading-receipt

An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.

kazukinagata/shinkoku · 64 tokens