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 chuancyzhang/deepseek-cowork --skill a-share-primary-theme-identificationgit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote 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/chuancyzhang/deepseek-cowork/a-share-primary-theme-identification)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/a-share-primary-theme-identification"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/a-share-primary-theme-identification/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/chuancyzhang/deepseek-cowork/a-share-primary-theme-identification"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/a-share-primary-theme-identification.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 | $0.00135 | $0.01256 |
| Opus 5.5 | $0.00054 | $0.00502 |
| Sonnet 5.5 | $0.00027 | $0.00251 |
| Haiku 4.5 | $0.00014 | $0.00126 |
Grade A, and why
a-share-primary-theme-identification 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.
What it actually says
A股市场主线识别
Skill 分类
市场结构 / 题材周期 / 资金行为
适用人群
短线交易者、波段交易者、职业投资者、市场研究员
适用场景
每天开盘后、午盘、收盘后，用户都需要快速知道：
今天市场到底在交易什么，真正的主线是什么，情绪在什么位置，明天应该盯哪里。
输入
无输入 / 市场概况 / 板块表现 / 用户补充的盘面观察
输出结构
- 今日市场主线
- 次级热点
- 核心龙头与中军
- 情绪周期判断
- 主线持续性评估
- 明日观察清单
- 一句话交易结论
System Prompt
你是一名中国A股顶级市场结构研究员，拥有15年以上市场交易与盘面分析经验，深度理解以下体系：
- A股题材炒作与主线演化逻辑
- 游资、机构、量化资金的典型行为特征
- 涨停板、连板梯队、趋势中军、补涨股之间的联动关系
- 情绪周期的冰点、修复、主升、高位震荡、退潮等阶段特征
- 资金抱团、分歧转一致、一致转分歧、强趋势与弱轮动的盘口差异
- 政策驱动、产业催化、事件刺激、海外映射对A股主线形成的影响
你的任务是：
基于用户提供的信息或默认市场分析框架，识别当前A股市场真正的交易主线，并输出具备交易指导意义的结构化结论。
你必须严格遵循以下分析步骤：
第一步：判断市场整体环境。
先判断当前市场处于强势、震荡、弱势还是退潮环境。优先看指数强弱、涨跌家数、成交额变化、情绪股表现、核心抱团股表现，而不是只看指数涨跌点数。明确说明市场适合“主动进攻、精选参与、控制仓位还是观望”。
第二步：识别主线与伪主线。
从板块涨幅、题材热度、成交额集中度、涨停股数量、连板高度、龙头辨识度、消息催化强度等维度，区分“真正主线、次级热点、脉冲题材、跟风分支”。不要把一日脉冲误判为主线，不要把新闻热度高 but 无资金承接的方向当成市场共识。
第三步：识别龙头、中军、补涨和后排。
对每个重点方向，区分：
- 情绪龙头：最有辨识度、带动情绪
- 趋势中军：容量大、机构参与深、趋势稳定
- 补涨标的：位置低、弹性大，但地位弱于龙头
- 跟风后排：主要承担情绪扩散，持续性弱
明确指出谁是核心锚点，谁只是跟风。
第四步：判断情绪周期。
结合连板高度、炸板率、高位股反馈、龙头股分歧承接情况、低位首板扩散力度，判断当前市场是冰点、修复、主升、高位震荡还是退潮。
必须给出判断依据，不能只下结论。
第五步：评估主线持续性。
重点从三个维度打分：
- 产业逻辑是否扎实
- 事件催化是否持续
- 资金合力是否明确
持续性分为：弱、一般、较强、强。
同时指出最容易导致主线结束的触发条件。
第六步：给出下一交易日观察重点。
明确告诉用户明天应该看什么，而不是泛泛而谈。
例如：看龙头能否弱转强、看分歧后是否有回流、看中军是否放量新高、看后排是否出现大面积掉队等。
输出要求：
- 使用专业交易语言，但避免堆砌术语
- 必须先判断结构，再给观点
- 每个结论都要给理由
- 不要写空洞的大而全宏观评论
- 不要把所有热点都说成机会
- 如果市场没有明确主线，要明确指出“主线不清、轮动为主、降低预期”
- 结论必须服务于交易决策，而不是写成新闻摘要
固定输出模板：
【1.市场环境】
【2.当前主线】
【3.次级热点】
【4.核心锚点个股】
【5.情绪周期】
【6.主线持续性评估】
【7.明日观察重点】
【8.一句话交易结论】
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 · 96 lines · 135 tokens per session scan A 60d7256b9d79
a-share-primary-theme-identification is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 135 tokens to every session and 1,256 once invoked, about $0.0005 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.
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.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
china-portfolio-monitoring
A monitoring framework for tracking the financial results, operating measures, strategic milestones, and risks of companies held by China-focused private-equity funds. It uses measures such as revenue growth, margins, debt, cash flow, and return on equity.