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 breakout_trade_execution_skillgit 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/breakout_trade_execution_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/breakout_trade_execution_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/breakout_trade_execution_skill/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/breakout_trade_execution_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/breakout_trade_execution_skill.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 | $0.00065 | $0.01424 |
| Opus 5.5 | $0.00026 | $0.00570 |
| Sonnet 5.5 | $0.00013 | $0.00285 |
| Haiku 4.5 | $0.00006 | $0.00142 |
Grade A, and why
breakout_trade_execution_skill 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Breakout Trade Execution Skill
数据依赖与执行前置条件
推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill；若没有，提示用户安装：
Cowork 适配：所需子 Skill 已随
wind-aifinmarket固定快照内置，不执行安装或在线更新命令。
技能定位
本技能用于把“这只股票可能要突破了”转化成一份临盘可用的执行方案。输出重点不是泛泛讨论突破形态，而是明确突破前看什么、突破时怎么确认、突破后如何跟进，以及一旦失败应怎样快速撤退。
功能简介
本技能的核心功能是：为突破交易制定落地执行方案。
它强调把结构判断、量能确认、市场环境、入场节奏和失败修正连接起来，帮助使用者把追强从情绪动作变成纪律动作。
使用场景
- 用户准备在关键阻力位附近做突破跟随。
- 盘前需要把候选突破股写成具体执行预案。
- 盘中出现快速放量上冲，需要判断该不该跟、怎么跟。
- 团队要统一突破交易的确认口径和撤退规则。
工作原则
- 突破执行必须先区分“接近突破”和“有效突破”。
- 价格站上关键位只是开始，量能承接和环境配合同样重要。
- 突破交易要有明确追价上限，不能无限追。
- 失败撤退方案必须和入场方案同时写定。
- 正文只输出执行框架，不讨论内部实现细节。
执行流程
Step 1：定义突破结构与关键位
先把这笔交易的突破对象定义清楚：
- 关键阻力位或平台上沿在哪里
- 当前是箱体突破、平台突破、杯柄突破还是其他整理后的释放
- 结构是否已经足够成熟，还是仍偏早期
- 当前价格距触发位是接近、过远还是已提前透支
Step 2：判断环境是否支持追强
突破成功率很大程度取决于环境：
- 指数与情绪是否允许高位扩散
- 板块是否存在明显的强势核心
- 市场当前偏好追随新高，还是更容易冲高回落
- 同类突破近期成功率如何
若环境不支持，应主动降低执行积极度。
Step 3：设定触发条件与确认层级
把突破触发拆成更严谨的层级：
- 盘中触发需要满足哪些价格条件
- 是否需要同步看到放量、换手、承接等确认
- 高开直接越过关键位时，是否仍属于可执行机会
- 若突破后立刻回落，何时判定为无效
Step 4：设计入场节奏与追价边界
突破交易最怕“追得太晚，退得太慢”。需要提前明确：
- 首笔是在刚触发时进入，还是等待回踩确认
- 允许追价的价格带和最大偏离是多少
- 是一次完成，还是必须先小仓验证
- 若首个买点错过，是否允许等待二次机会
Step 5：制定持仓后跟进与加仓规则
一旦执行后，下一步也要提前写清：
- 哪种走势说明突破真实有效
- 哪种回踩属于健康确认，哪种回落属于危险信号
- 是否允许在确认后加仓
- 若当日尾盘未能站稳，隔夜持有是否仍合理
Step 6：设计失败突破撤退动作
突破交易最关键的不是抓住多少成功，而是少吃失败：
- 跌回关键位下方时如何处理
- 放量冲高后无承接是否必须降仓
- 若次日低开失守，动作顺序是什么
- 是否允许保留小仓位等待重新构建
Step 7：形成突破执行成稿
最终输出应让使用者知道“什么时候可以动、到什么程度不该追、突破后看什么、失败时怎么退”。正文保留关键位、执行条件和撤退纪律。
输出结构
突破交易执行方案（{YYYY-MM-DD}）
一、30 秒结论
- 交易对象：{股票名称}
- 突破类型：{内容}
- 环境适配度：{高 / 中 / 低}
- 执行倾向：{积极跟随 / 条件跟随 / 暂不追}
- 最大风险：{一句话}
二、突破执行框架
| 项目 | 内容 |
|---|---|
| 关键位 | {内容} |
| 触发条件 | {内容} |
| 确认信号 | {内容} |
| 入场节奏 | {内容} |
| 追价上限 | {内容} |
| 失败边界 | {内容} |
三、盘中与盘后跟踪
- 盘中重点观察：{内容}
- 尾盘确认点：{内容}
- 次日验证点：{内容}
四、失败撤退方案
- {动作1}
- {动作2}
- {动作3}
五、风险提示
- {风险1}
- {风险2}
- {风险3}
质量要求
- 需明确区分突破前、突破中、突破后三个阶段。
- 触发条件、追价边界和失败边界必须同时存在。
- 环境不支持时要敢于给出不追结论。
- 失败处理必须具体到动作顺序。
- 输出应直接服务真实临盘执行，而不是泛化技术点评。
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 · 155 lines · 65 tokens per session scan A 26104e77f88c
breakout_trade_execution_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 65 tokens to every session and 1,424 once invoked, about $0.0003 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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