LobsterAI is an open-source desktop AI agent that operates files, commands, browsers, documents, spreadsheets, slides, messaging channels, and scheduled jobs in a user's working environment. It supports office work, research, and custom multi-agent workflows, while catalogue add-ons extend the agent with additional skills and workflows.
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.
npx skills add netease-youdao/LobsterAI --skill stock-analyzergit clone --depth 1 https://github.com/netease-youdao/LobsterAIWrote 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/netease-youdao/lobsterai/stock-analyzer)<a href="https://agentmods.dev/skills/netease-youdao/lobsterai/stock-analyzer"><img src="https://agentmods.dev/badge/skills/netease-youdao/lobsterai/stock-analyzer/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/netease-youdao/lobsterai/stock-analyzer"><img src="https://agentmods.dev/badge/skills/netease-youdao/lobsterai/stock-analyzer.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 | $0.00053 | $0.00888 |
| Opus 5.5 | $0.00021 | $0.00355 |
| Sonnet 5.5 | $0.00011 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
stock-analyzer 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- stock-analyzer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Deep Analyzer
One-stop comprehensive stock analysis tool that generates professional-grade investment reports.
Features
- Real-time Market Data — Current price, volume, market cap, beta
- Value Investing Metrics — P/E, P/B, ROE, ROA, dividend yield, payout ratio
- Technical Indicators — MA5/20/60, RSI, MACD, Bollinger Bands, VWAP
- Growth Analysis — Revenue growth, earnings growth, profit margins
- Financial Health — Asset/liability ratio, liquidity ratio
- Investment Rating — Multi-dimensional scoring (value 35% / technical 25% / growth 25% / financial 15%)
- Trading Strategies — Long-term hold, swing trade, short-term speculation
- Risk Assessment — Key risks and price levels
Dependencies
Python packages (install once):
pip install yfinance pandas numpy
Usage
IMPORTANT: Always use the $SKILLS_ROOT environment variable to locate scripts.
Basic Analysis
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 601288.SS
Specify Analysis Period
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 000001.SZ --period 1y
US Stocks
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" AAPL
Parameters
| Parameter | Description | Example | Default |
|---|---|---|---|
ticker |
Stock ticker symbol (required) | 601288.SS, AAPL | - |
--period |
Analysis period | 1mo, 3mo, 6mo, 1y, 2y | 6mo |
--output |
Output format | text, json | text |
Stock Ticker Formats
- A-share (Shanghai):
600519.SS,601288.SS - A-share (Shenzhen):
000001.SZ,002594.SZ - US stocks:
AAPL,TSLA,NVDA - HK stocks:
0700.HK,9988.HK
Output Structure
The analysis report includes 8 sections:
- Real-time Market Overview
- Value Investing Indicators (Score /10)
- Technical Analysis (Score /10)
- Growth Indicators (Score /10)
- Financial Health (Score /10)
- Comprehensive Investment Rating (Overall /10)
- Recommended Trading Strategies
- Key Risk Warnings
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 120 lines · 53 tokens per session scan A eb3ce94ec0cf
stock-analyzer is a skill published in the GitHub repository netease-youdao/LobsterAI (6,150 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 888 once invoked, about $0.0002 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 2026-08-30.
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