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 agentmods add skills/nicepkg/ai-workflow/a-share-analysisnpx skills add nicepkg/ai-workflow --skill a-share-analysisgit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/a-share-analysis)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/a-share-analysis"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/a-share-analysis.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00067 | $0.01864 |
| Opus 5 | $0.00034 | $0.00932 |
| Sonnet 5 | $0.00013 | $0.00373 |
| Haiku 4.5 | $0.00007 | $0.00186 |
Grade A, and why
a-share-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 yesterday.
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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A股分析 (China A-Share Analysis)
Overview
Perform comprehensive analysis of China A-share stocks (Shanghai and Shenzhen exchanges) with consideration of unique market characteristics including T+1 trading rules, price limits, policy impacts, and capital flow dynamics.
Market Characteristics
Trading Rules
- T+1 Settlement: Stocks bought today can only be sold the next trading day
- Price Limits:
- Main board: ±10% daily limit
- ChiNext (创业板) & STAR Market (科创板): ±20% daily limit
- ST stocks: ±5% daily limit
- New IPO: No limit for first 5 trading days (ChiNext/STAR)
- Trading Hours: 9:30-11:30, 13:00-15:00 (Beijing Time)
- Call Auction: 9:15-9:25 (opening), 14:57-15:00 (closing)
Market Segments
- Shanghai Main Board (沪市主板): 60xxxx - Large caps, SOEs
- Shenzhen Main Board (深市主板): 00xxxx - Medium to large caps
- ChiNext (创业板): 30xxxx - Growth/tech companies, ±20% limit
- STAR Market (科创板): 688xxx - Innovation/tech, ±20% limit
- Beijing Stock Exchange (北交所): 8xxxxx - SMEs
Data Sources
Use web search to gather data from:
Primary Sources:
- 东方财富 (East Money) - eastmoney.com
- 同花顺 (10jqka) - 10jqka.com.cn
- 新浪财经 (Sina Finance) - finance.sina.com.cn
- 雪球 (Xueqiu) - xueqiu.com
- 巨潮资讯 (cninfo) - cninfo.com.cn (official filings)
Search Strategy:
- Use stock code or name + specific data needed
- Search in Chinese for better results: "[股票名称] 财务数据 2024"
- For northbound data: "[股票代码] 北向资金持股"
- For policy news: "[行业] 政策 最新"
Analysis Framework
1. Basic Information
股票代码: [Code]
股票名称: [Name]
所属板块: [Board]
所属行业: [Industry]
市值: [Market Cap]
流通市值: [Float Market Cap]
2. Fundamental Analysis
Financial Metrics:
- 营业收入 (Revenue) - YoY growth
- 归母净利润 (Net Profit) - YoY growth
- 扣非净利润 (Non-GAAP Net Profit)
- 毛利率 (Gross Margin)
- 净利率 (Net Margin)
- ROE (净资产收益率)
- 资产负债率 (Debt Ratio)
- 经营现金流 (Operating Cash Flow)
Valuation Metrics:
- 市盈率 P/E (TTM & Forward)
- 市净率 P/B
- 市销率 P/S
- PEG比率
- Compare to industry average and historical range
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.
- yesterday First seen · 243 lines · 67 tokens per session scan A 0e9ce2d7b342
a-share-analysis is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 67 tokens to every session and 1,864 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 2026-09-03.
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