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 Lord1Egypt/awesome-skill-forge --skill a-share-tech-analysisgit clone --depth 1 https://github.com/Lord1Egypt/awesome-skill-forgeWrote 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/lord1egypt/awesome-skill-forge/a-share-tech-analysis)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/a-share-tech-analysis"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-share-tech-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/lord1egypt/awesome-skill-forge/a-share-tech-analysis"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-share-tech-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 | $0.00072 | $0.00863 |
| Opus 5 | $0.00036 | $0.00432 |
| Sonnet 5 | $0.00014 | $0.00173 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade A, and why
a-share-tech-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 10d 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股技术分析工具包 (A-Share Tech Analysis)
帮助你进行中国A股市场的技术面分析，包含K线形态识别、技术指标计算、关键点位分析等功能。适合AI agent辅助人类进行股票交易决策。
功能
1. K线形态识别
- 锤子线 / 上吊线
- 吞没形态（看涨/看跌）
- 十字星
- 三只乌鸦 / 三白兵
- 头肩顶 / 头肩底
- 双底 / 双顶
2. 技术指标
| 指标 | 参数默认值 | 用途 |
|---|---|---|
| MACD | 12/26/9 | 趋势判断，金叉死叉信号 |
| KDJ | 9/3/3 | 超买超卖区域识别 |
| RSI | 6/12/24 | 相对强弱，背离信号 |
| 均线系统 | MA5/MA10/MA20/MA60/MA120 | 多空排列，支撑阻力 |
| 布林带 | 20/2 | 波动率与突破信号 |
| 成交量 | OBV/量比 | 资金活跃度 |
3. 关键点位
- 自动标注近期支撑位与阻力位
- 计算止损位与目标位
- 趋势线识别（上升/下降/横盘）
4. 资金流向
- 主力资金净流入/流出分析
- 大单/中单/小单分布
- 北向资金动态
使用示例
# 查询某只股票的技术面
analyze-stock 600519.SH --indicators macd,kdj,rsi --levels support-resistance
# K线形态扫描
scan-patterns 000001.SZ --patterns engulfing,doji,hammer
# 每日复盘简报
daily-review 300750.SZ --brief
技术指标公式
MACD
EMA12 = 前一日EMA12 × 11/13 + 今日收盘价 × 2/13
EMA26 = 前一日EMA26 × 25/27 + 今日收盘价 × 2/27
DIF = EMA12 - EMA26
DEA = 前一日DEA × 8/10 + 今日DIF × 2/10
MACD柱 = (DIF - DEA) × 2
金叉 = DIF 上穿 DEA
死叉 = DIF 下穿 DEA
KDJ
RSV = (今日收盘价 - 最近9日最低价) / (最近9日最高价 - 最近9日最低价) × 100
K值 = 前一日K × 2/3 + 今日RSV × 1/3
D值 = 前一日D × 2/3 + 今日K × 1/3
J值 = 3 × K - 2 × D
超买: K > 80
超卖: K < 20
注意事项
- 技术指标仅为辅助工具，不构成投资建议
- A股市场受政策面影响较大，需结合基本面分析
- 建议使用多个指标交叉验证，单一指标信号可靠性有限
- 注意识别假突破和指标钝化情况
Tags
a-share, stock, technical-analysis, trading, china, finance, macd, kdj, rsi
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.
- 10d ago First seen · 84 lines · 72 tokens per session scan A ccb463d0f8d4
a-share-tech-analysis is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 863 once invoked, about $0.0004 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 2026-08-31.
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