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 ZICXR/A-Stock-Skills --skill stock-technical-analysisgit clone --depth 1 https://github.com/ZICXR/A-Stock-SkillsWrote 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/zicxr/a-stock-skills/stock-technical-analysis)<a href="https://agentmods.dev/skills/zicxr/a-stock-skills/stock-technical-analysis"><img src="https://agentmods.dev/badge/skills/zicxr/a-stock-skills/stock-technical-analysis/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/zicxr/a-stock-skills/stock-technical-analysis"><img src="https://agentmods.dev/badge/skills/zicxr/a-stock-skills/stock-technical-analysis.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00126 | $0.00919 |
| Opus 5 | $0.00063 | $0.00460 |
| Sonnet 5 | $0.00025 | $0.00184 |
| Haiku 4.5 | $0.00013 | $0.00092 |
Grade A, and why
stock-technical-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.
What it actually says
A 股个股技术面分析 Skill
何时使用
- 用户要求分析某只股票的技术面
- 用户需要 K 线形态识别
- 用户需要买卖信号
- 用户需要支撑压力位
- 用户需要超买超卖判断
提供能力
K线数据
get_kline(code, days, adjust)- 历史 K 线
K线形态
detect_patterns(df)- 形态识别 (十字星/锤子线/吞没/早晨之星/黄昏之星)
趋势研判
analyze_trend(df)- 综合趋势 (均线+MACD)generate_trading_signal(df)- 买卖信号 (买入/卖出/观望)
超买超卖
detect_obs(df)- KDJ + RSI 超买超卖
支撑压力
calc_support_pressure(df, window)- 支撑压力位 (R1/R2/S1/S2)
综合
full_technical_analysis(code, days)- 一键综合分析
使用方式
python main.py kline 000001 --days 120 --adjust qfq # K线
python main.py trend 000001 --days 60 # 趋势
python main.py signal 000001 --days 60 # 买卖信号
python main.py patterns 000001 --days 5 # K线形态
python main.py full 000001 --days 120 # 综合分析
Python API
from skills.04-stock-analysis.stock-technical-analysis.main import full_technical_analysis
result = full_technical_analysis("000001", days=120)
# {
# 'patterns': [{'date': ..., 'pattern': '锤子线', 'signal': '看涨'}],
# 'trend': {'trend': '上涨', 'score': 4, 'signals': [...]},
# 'overbought_oversold': {'level': '超买', 'K': 88, 'D': 85, 'J': 95},
# 'support_pressure': {'R1': 13.5, 'S1': 12.0, ...},
# 'trading_signal': {'signal': '买入', 'strength': '强', 'buy_signals': [...], 'sell_signals': [...]}
# }
买卖信号生成规则
买入信号 (满足>=2个且多于卖出):
- 均线多头排列
- MACD 金叉
- KDJ 低位 (<50) 金叉
- 放量上涨 (量比 > 1.5)
卖出信号 (满足>=2个且多于买入):
- 均线空头排列
- MACD 死叉
- KDJ 高位 (>50) 死叉
- 放量下跌
K线形态
| 形态 | 信号 | 描述 |
|---|---|---|
| 十字星 | 反转 | 多空胶着, 关注变盘 |
| 锤子线 | 看涨 | 下影线长, 多方力量 |
| 看涨吞没 | 看涨 | 阳包阴, 强势反转 |
| 看跌吞没 | 看跌 | 阴包阳, 弱势反转 |
依赖
akshare>=1.12.0
pandas>=1.5.0
numpy>=1.22.0
What ships with it
2 files 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.
- 12d ago First seen · 92 lines · 126 tokens per session scan A 82607bb31c19
stock-technical-analysis is a skill published in the GitHub repository ZICXR/A-Stock-Skills (25 stars, last pushed 2mo ago), licensed MIT. It adds 126 tokens to every session and 919 once invoked, about $0.0006 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.
Other skills, from other repositories
private-company-research
A research workflow for private companies, meaning businesses whose shares are not traded on a public stock exchange. It uses several research roles to investigate the company in depth.
bottleneck-hunter
A research workflow for finding supply-chain bottlenecks—parts of global production where shortages or limited capacity may create investment opportunities.
investment-research
A broad stock-research workflow combining ideas associated with Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu. It examines the business, its quality, its risks, and its value.
industry-research
An industry-research workflow that maps how an industry works from suppliers to customers, then examines individual companies within it. The value-investing analysis looks at business quality, risks, and price.
investment-checklist
A pre-purchase checklist for value investing, which means buying shares based on a company’s business quality and estimated worth. It is based on the investing approach associated with Warren Buffett.
management-deep-dive
A research workflow for evaluating a company’s managers and leaders. It treats buying shares as partly trusting the people who run the business.